NOTE-emma-usecases-20091215
79.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta name="generator" content=
"HTML Tidy for Linux/x86 (vers 1 September 2005), see www.w3.org" />
<title>Use Cases for Possible Future EMMA Features</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<style type="text/css">
/*<![CDATA[*/
code { font-family: monospace; }
div.constraint,
div.issue,
div.note,
div.notice { margin-left: 2em; }
ol.enumar { list-style-type: decimal; }
ol.enumla { list-style-type: lower-alpha; }
ol.enumlr { list-style-type: lower-roman; }
ol.enumua { list-style-type: upper-alpha; }
ol.enumur { list-style-type: upper-roman; }
div.exampleInner pre { margin-left: 1em;
margin-top: 0em; margin-bottom: 0em}
div.exampleOuter {border: 4px double gray;
margin: 0em; padding: 0em}
div.exampleInner { background-color: #d5dee3;
border-top-width: 4px;
border-top-style: double;
border-top-color: #d3d3d3;
border-bottom-width: 4px;
border-bottom-style: double;
border-bottom-color: #d3d3d3;
padding: 4px; margin: 0em }
div.exampleWrapper { margin: 4px }
div.exampleHeader { font-weight: bold;
margin: 4px}
table {
width:80%;
border:1px solid #000;
border-collapse:collapse;
font-size:90%;
}
td,th{
border:1px solid #000;
border-collapse:collapse;
padding:5px;
}
caption{
background:#ccc;
font-size:140%;
border:1px solid #000;
border-bottom:none;
padding:5px;
text-align:center;
}
img.center {
display: block;
margin-left: auto;
margin-right: auto;
}
p.caption {
text-align: center
}
.RFC2119 {
text-transform: lowercase;
font-style: italic;
}
/*]]>*/
</style>
<style type="text/css">
/*<![CDATA[*/
p.c1 {font-weight: bold}
/*]]>*/
</style>
<link href="http://www.w3.org/StyleSheets/TR/W3C-WG-NOTE.css" type="text/css" rel="stylesheet" />
<meta content="MSHTML 6.00.6000.16762" name="GENERATOR" />
<style type="text/css">
/*<![CDATA[*/
ol.c2 {list-style-type: lower-alpha}
li.c1 {list-style: none}
/*]]>*/
</style>
</head>
<body xml:lang="en" lang="en">
<div class="head"><a href="http://www.w3.org/"><img alt="W3C" src=
"http://www.w3.org/Icons/w3c_home" width="72" height="48" /></a>
<h1 id="title">Use Cases for Possible Future EMMA Features</h1>
<h2 id="w3c-doctype">W3C Working Group Note <i>15</i> <i>December</i> <i>2009</i></h2>
<dl>
<dt>This version:</dt>
<dd><a href="http://www.w3.org/TR/2009/NOTE-emma-usecases-20091215">http://www.w3.org/TR/2009/NOTE-emma-usecases-20091215</a></dd>
<dt>Latest version:</dt>
<dd><a href="http://www.w3.org/TR/emma-usecases">http://www.w3.org/TR/emma-usecases</a></dd>
<dt>Previous version:</dt>
<dd><em>This is the first publication.</em></dd>
<dt>Editor:</dt>
<dd>Michael Johnston, AT&T</dd>
<dt>Authors:</dt>
<dd>Deborah A. Dahl, Invited Expert</dd>
<dd>Ingmar Kliche, Deutsche Telekom AG</dd>
<dd>Paolo Baggia, Loquendo</dd>
<dd>Daniel C. Burnett, Voxeo</dd>
<dd>Felix Burkhardt, Deutsche Telekom AG</dd>
<dd>Kazuyuki Ashimura, W3C</dd>
</dl>
<p class="copyright"><a href=
"http://www.w3.org/Consortium/Legal/ipr-notice#Copyright">Copyright</a>
© 2009 <a href="http://www.w3.org/"><acronym title=
"World Wide Web Consortium">W3C</acronym></a><sup>®</sup> (<a href=
"http://www.csail.mit.edu/"><acronym title=
"Massachusetts Institute of Technology">MIT</acronym></a>, <a href=
"http://www.ercim.org/"><acronym title=
"European Research Consortium for Informatics and Mathematics">ERCIM</acronym></a>,
<a href="http://www.keio.ac.jp/">Keio</a>), All Rights Reserved.
W3C <a href=
"http://www.w3.org/Consortium/Legal/ipr-notice#Legal_Disclaimer">liability</a>,
<a href=
"http://www.w3.org/Consortium/Legal/ipr-notice#W3C_Trademarks">trademark</a>
and <a href=
"http://www.w3.org/Consortium/Legal/copyright-documents">document
use</a> rules apply.</p>
</div>
<!-- end of head div -->
<hr title="Separator for header" />
<h2 id="abstract">Abstract</h2>
<p>The EMMA: Extensible MultiModal Annotation specification defines
an XML markup language for capturing and providing metadata on the
interpretation of inputs to multimodal systems. Throughout the
implementation report process and discussion since EMMA 1.0 became
a W3C Recommendation, a number of new possible use cases for the
EMMA language have emerged. These include the use of EMMA to
represent multimodal output, biometrics, emotion, sensor data,
multi-stage dialogs, and interactions with multiple users. In this
document, we describe these use cases and illustrate how the EMMA
language could be extended to support them.</p>
<h2 id="status">Status of this Document</h2>
<p><em>This section describes the status of this document at the
time of its publication. Other documents may supersede this
document. A list of current W3C publications and the latest
revision of this technical report can be found in the <a href=
"http://www.w3.org/TR/">W3C technical reports index</a> at
http://www.w3.org/TR/.</em></p>
<p>This document is a W3C Working Group Note published on 15 December
2009. This is the first publication of this document and it represents
the views of the W3C Multimodal Interaction Working Group at the time
of publication. The document may be updated as new technologies emerge
or mature. Publication as a Working Group Note does not imply
endorsement by the W3C Membership. This is a draft document and may be
updated, replaced or obsoleted by other documents at any time. It is
inappropriate to cite this document as other than work in
progress.</p>
<p>This document is one of a series produced by the
<a href="http://www.w3.org/2002/mmi/">Multimodal Interaction WorkingGroup</a>,
part of the <a href="http://www.w3.org/2002/mmi/Activity">W3C Multimodal Interaction
Activity</a>.
Since <a href="http://www.w3.org/TR/emma/">EMMA 1.0</a> became a W3C
Recommendation, a number of new possible use cases for the EMMA language have
emerged, e.g., the use of EMMA to represent multimodal output, biometrics,
emotion, sensor data, multi-stage dialogs and interactions with multiple users.
Therefore the Working Group have been working on a document capturing use cases
and issues for a series of possible extensions to EMMA.
The intention of publishing this Working Group Note is to seek feedback on the
various different use cases.
</p>
<p>Comments on this document can be sent to <a href=
"mailto:www-multimodal@w3.org">www-multimodal@w3.org</a>, the
public forum for discussion of the W3C's work on Multimodal
Interaction. To subscribe, send an email to <a href=
"mailto:www-multimodal-request@w3.org">www-multimodal-request@w3.org</a>
with the word subscribe in the subject line (include the word
unsubscribe if you want to unsubscribe). The <a href=
"http://lists.w3.org/Archives/Public/www-multimodal/">archive</a>
for the list is accessible online.</p>
<p> This document was produced by a group operating under the <a href="http://www.w3.org/Consortium/Patent-Policy-20040205/">5 February 2004 W3C Patent Policy</a>. W3C maintains a <a rel="disclosure" href="http://www.w3.org/2004/01/pp-impl/34607/status">public list of any patent disclosures</a> made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains <a href="http://www.w3.org/Consortium/Patent-Policy-20040205/#def-essential">Essential Claim(s)</a> must disclose the information in accordance with <a href="http://www.w3.org/Consortium/Patent-Policy-20040205/#sec-Disclosure">section 6 of the W3C Patent Policy</a>. </p>
<h2 id="contents">Table of Contents</h2>
<ul>
<li>1. <a href="#s1">Introduction</a></li>
<li>2. <a href="#s2">EMMA use cases</a></li>
</ul>
<ul class="tocline">
<li>2.1 <a href="#s2.1">Incremental results for streaming
modalities such as haptics, ink, monologues, dictation</a></li>
<li>2.2 <a href="#s2.2">Representing biometric information</a></li>
<li>2.3 <a href="#s2.3">Representing emotion in EMMA</a></li>
<li>2.4 <a href="#s2.4">Richer semantic representations in
EMMA</a></li>
<li>2.5 <a href="#s2.5">Representing system output in EMMA</a></li>
<li class="c1">
<ul class="tocline">
<li>2.5.1 <a href="#s2.5.1">Abstracting output from specific
modalities</a></li>
<li>2.5.2 <a href="#s2.5.2">Coordination of outputs distributed
over multiple different modalities</a></li>
</ul>
</li>
<li>2.6 <a href="#s2.6">Representation of dialogs in EMMA</a></li>
<li>2.7 <a href="#s2.7">Logging, analysis, and annotation</a></li>
<li class="c1">
<ul class="tocline">
<li>2.7.1 <a href="#s2.7.1">Log analysis</a></li>
<li>2.7.2 <a href="#s2.7.2">Log annotation</a></li>
</ul>
</li>
<li>2.8 <a href="#s2.8">Multi-sentence inputs</a></li>
<li>2.9 <a href="#s2.9">Multi-participant interactions</a></li>
<li>2.10 <a href="#s2.10">Capturing sensor data such as GPS in
EMMA</a></li>
<li>2.11 <a href="#s2.11">Extending EMMA from NLU to also represent
search or database retrieval results</a></li>
<li>2.12 <a href="#s2.12">Supporting other semantic representation
forms in EMMA</a></li>
</ul>
<ul>
<li><a href="#references">General References</a></li>
</ul>
<hr title="Separator for introduction" />
<h2 id="s1">1. Introduction</h2>
<p>This document presents a set of use cases for possible new
features of the Extensible MultiModal Annotation (EMMA) markup
language. <a href="http://www.w3.org/TR/emma/">EMMA 1.0</a> was
designed primarily to be used as a data interchange format by
systems that provide semantic interpretations for a variety of
inputs, including but not necessarily limited to, speech, natural
language text, GUI and ink input. EMMA 1.0 provides a set of
elements for containing the various stages of processing of a
user's input and a set of elements and attributes for specifying
various kinds of metadata such as confidence scores and timestamps.
<a href="http://www.w3.org/TR/emma/">EMMA 1.0</a> became a W3C
Recommendation on February 10, 2009.</p>
<p>A number of possible extensions to <a href=
"http://www.w3.org/TR/emma/">EMMA 1.0</a> have been identified
through discussions with other standards organizations,
implementers of EMMA, and internal discussions within the W3C
Multimodal Interaction Working Group. This document focusses on the
following use cases:</p>
<ol>
<li>Representing incremental results for streaming modalities such
as haptics, ink, monologues, dictation, where it is desirable to
have partial results available before the full input finishes.</li>
<li>Representing biometric results such as the results of speaker
verification or speaker identification (briefly covered in EMMA
1.0).</li>
<li>Representing emotion, for example, as conveyed by intonation
patterns, facial expression, or lexical choice.</li>
<li>Richer semantic representations, for example, integrating EMMA
application semantics with ontologies.</li>
<li>Representing system output in addition to user input, including
topics such as:</li>
<li class="c1">
<ol class="c2">
<li>Isolating presentation logic from dialog/interaction
management.</li>
<li>Coordination of outputs distributed over multiple different
modalities.</li>
</ol>
</li>
<li>Support for archival functions such as logging, human
annotation of inputs, and data analysis.</li>
<li>Representing full dialogs and multi-sentence inputs in addition
to single inputs.</li>
<li>Representing multi-participant interactions.</li>
<li>Representing sensor data such as GPS input.</li>
<li>Representing the results of database queries or search.</li>
<li>Support for forms of representation of application semantics
other than XML, such as JSON.</li>
</ol>
<p>It may be possible to achieve support for some of these features
without modifying the language, through the use of the
extensibility mechanisms of <a href=
"http://www.w3.org/TR/emma/">EMMA 1.0</a>, such as the
<code><emma:info></code> element and application-specific
semantics; however, this would significantly reduce
interoperability among EMMA implementations. If features are of
general value then it would be beneficial to define standard ways
of implementing them within the EMMA language. Additionally,
extensions may be needed to support additional new kinds of input
modalities such as multi-touch and accelerometer input.</p>
<p>The W3C Membership and other interested parties are invited to
review this document and send comments to the Working Group's
public mailing list www-multimodal@w3.org <a href=
"http://lists.w3.org/Archives/Public/www-multimodal/">(archive)</a>
.</p>
<h2 id="s2">2. EMMA use cases</h2>
<h3 id="s2.1">2.1 Incremental results for streaming modalities such
as haptic, ink, monologues, dictation</h3>
<p>In EMMA 1.0, EMMA documents were assumed to be created for
completed inputs within a given modality. However, there are
important use cases where it would be beneficial to represent some
level of interpretation of partial results before the input is
complete. For example, in a dictation application, where inputs can
be lengthy it is often desirable to show partial results to give
feedback to the user while they are speaking. In this case, each
new word is appended to the previous sequence of words. Another use
case would be incremental ASR, either for dictation or dialog
applications, where previous results might be replaced as more
evidence is collected. As more words are recognized and provide
more context, earlier word hypotheses may be updated. In this
scenario it may be necessary to replace the previous hypothesis
with a revised one.</p>
<p>In this section, we discuss how the EMMA standard could be
extended to support incremental or streaming results in the
processing of a single input. Some key considerations and areas for
discussion are:</p>
<ol>
<li>Do we need an identifier for a particular stream? Or is
<code>emma:source</code> sufficient? Subsequent messages (carrying
information for a particular stream) may need to have the same
identifier.</li>
<li>Do we need a sequence number to indicate order? Or are
timestamps sufficient (though optional)?</li>
<li>Do we need to mark "begin", "in progress" and "end" of a
stream? There are streams with a particular start and end, like a
dictation. Note that sensors may never explicitly end a
stream.</li>
<li>Do we always append information? Or do we also replace previous
data? A dictation application will probably append new text. But do
we consider sensor data (such as GPS position or device tilt) as
streaming or as "final" data?</li>
</ol>
<p>In the example below for dictation, we show how three new
attributes <code>emma:streamId</code>,
<code>emma:streamSeqNr</code>, and <code>emma:streamProgress</code>
could be used to annotate each result with metadata regarding its
position and status within a stream of input. In this example, the
<code>emma:streamId</code> is a identifier which can be used to
show that different <code>emma:interpretation</code> elements are
members of the same stream. The <code>emma:streamSeqNr</code>
attribute provides a numerical order to elements in the stream
while <code>emma:streamProgress</code> indicates the start of the
stream (and whether to expect more interpretations within the same
stream), and the end of the stream. This is an instance of the
'append' scenario for partial results in EMMA.</p>
<table width="120">
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">User</td>
<td>Hi Joe the meeting has moved</td>
<td>
<pre>
<emma:emma >
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
<emma:interpretation id="int1"
emma:medium="acoustic"
emma:mode="voice"
emma:function="transcription"
emma:confidence="0.75"
emma:tokens="Hi Joe the meeting has moved"
emma:streamId="id1"
emma:streamSeqNr="0"
emma:streamProgress="begin">
<emma:literal>
Hi Joe the meeting has moved
</emma:literal>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">User</td>
<td>to friday at four</td>
<td>
<pre>
<emma:emma >
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
<emma:interpretation id="int2"
emma:medium="acoustic"
emma:mode="voice"
emma:function="transcription"
emma:confidence="0.75"
emma:tokens="to friday at four"
emma:streamId="id1"
emma:streamSeqNr="1"
emma:streamProgress="end">
<emma:literal>
to friday at four
</emma:literal>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</table>
<p>In the example below, a speech recognition hypothesis for the
whole string is updated once more words have been recognized. This
is an instance of the 'replace' scenario for partial results in
EMMA. Note that the <code>emma:streamSeqNr</code> is the same for
each interpretation in this case.</p>
<table width="120">
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">User</td>
<td>Is there a Pisa</td>
<td>
<pre>
<emma:emma >
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
<emma:interpretation id="int1"
emma:medium="acoustic"
emma:mode="voice"
emma:function="dialog"
emma:confidence="0.7"
emma:tokens="is there a pisa"
emma:streamId="id2"
emma:streamSeqNr="0"
emma:streamProgress="begin">
<emma:literal>
is there a pisa
</emma:literal>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">User</td>
<td>Is there a pizza restaurant</td>
<td>
<pre>
<emma:emma >
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
<emma:interpretation id="int2"
emma:medium="acoustic"
emma:mode="voice"
emma:function="dialog"
emma:confidence="0.9"
emma:tokens="is there a pizza restaurant"
emma:streamId="id2"
emma:streamSeqNr="0"
emma:streamProgress="end">
<emma:literal>
is there a pizza restaurant
</emma:literal>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</table>
<p>One issue for the 'replace' case of incremental results, is how
to specify that a result replaces multiple of the previously
received results. For example, a system could receive partial
results consisting of each word in turn of an utterance, and then a
final result which is the final recognition for the whole sequence
of words. One approach to this problem would be to allow
<code>emma:streamSeqNr</code> to specify a range of inputs to be
replaced. For example, if the <code>emma:streamSeqNr</code> for
each of three single word results was 1, 2, and then 3. A final
revised result could be marked as
<code>emma:streamSeqNr="1-3"</code> indicating that it is a revised
result for those three words.</p>
<p>One issue is whether timestamps might be used to track ordering
instead of introducing new attributes. One problem is that
timestamp attributes are not required and may not always be
available. Also as shown in the example, chunks of input in a
stream may not always be in sequential order. Even with timestamps
providing an order some kind of 'begin' and 'end' flag is needed
(like <code>emma:streamProgress)</code> to indicate indicate the
beginning and end of transmission of streamed input. Moreover,
timestamps do not provide sufficient information to detect whether
a message has been lost.</p>
<p>Another possibility to explore for representation of incremental
results would be to use an <code><emma:sequence></code>
element containing the interim results and a derived result which
contains the combination.</p>
<p>Another issue to explore is the relationship between incremental
results and the MMI lifecyle events within the <a href=
"http://www.w3.org/TR/mmi-arch/">MMI Architecture</a>.</p>
<h3 id="s2.2">2.2 Representing biometric information</h3>
<p>Biometric technologies include systems designed to identify
someone or verify a claim of identity based on their physical or
behavioral characteristics. These include speaker verification,
speaker identification, face recognition, and iris recognition,
among others. <a href="http://www.w3.org/TR/emma/">EMMA 1.0</a>
provided some capability for representing the results of biometric
analysis through values of the <code>emma:function</code> attribute
such as "verification". However, it did not discuss the specifics
of this use case in any detail. It may be worth exploring further
considerations and consequences of using EMMA to represent
biometric results. As one example, if different biometric results
are represented in EMMA, this would simplify the process of fusing
the outputs of multiple biometric technologies to obtain a more
reliable overall result. It should also make it easier to
take into account non-biometric claims of identity, such as a
statement like "this is Kazuyuki", represented in EMMA, along with
a speaker verification result based on the speaker's voice, which
would also be represented in EMMA. In the following example, we
have extended the set of values for <code>emma:function</code> to
include "identification" for an interpretation showing the results
of a biometric component that picks out an individual from a set of
possible individuals (who are they). This contrasts with
"verification" which is used for verification of a particular user
(are they who they say they are).</p>
<h4 id="biometric_example">Example</h4>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td>an image of a face</td>
<td>
<pre>
<emma:emma>
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
<emma:interpretation id=“int1"
emma:confidence="0.75”
emma:medium="visual"
emma:mode="photograph"
emma:verbal="false"
emma:function="identification">
<person>12345</person>
<name>Mary Smith</name>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>One direction to explore further is the relationship between
work on messaging protocols for biometrics within the OASIS
Biometric Identity Assurance Services (<a href="http://www.oasis-open.org/committees/tc_home.php?wg_abbrev=bias">BIAS</a>)
standards committee and EMMA.</p>
<h3 id="s2.3">2.3 Representing emotion in EMMA</h3>
<p>In addition to speech recognition, and other tasks such as
speaker verification and identification, another kind of
interpretation of speech that is of increasing importance is
determination of the emotional state of the speaker, based on, for
example, their prosody, lexical choice, or other features. This
information can be used, for example, to make the dialog logic of
an interactive system sensitive to the user's emotional state.
Emotion detection can also use other modalities such as vision
(facial expression, posture) and physiological sensors such as skin
conductance measurement or blood pressure. Multimodal approaches
where evidence is combined from multiple different modalities are
also of significance for emotion classification.</p>
<p>The creation of a markup language for emotion has been a recent
focus of attention in W3C. Work that initiated in the W3C Emotion
Markup Language Incubator Group (<a href=
"http://www.w3.org/2005/Incubator/emotion/XGR-emotionml-20081120/">EmotionML
XG</a>), has now transitioned to the <a href=
"http://www.w3.org/2002/mmi/">W3C Multimodal Working Group</a> and
the <a href="http://www.w3.org/TR/emotionml">EmotionML</a> language
has been published as a working draft. One of the major use cases
for that effort is: "Automatic recognition of emotions from
sensors, including physiological sensors, speech recordings, facial
expressions, etc., as well as from multi-modal combinations of
sensors."</p>
<p>Given the similarities to the technologies and annotations used
for other kinds of input processing (recognition, semantic
classification) which are now captured in EMMA, it makes sense to
explore the use of EMMA for capture of emotional classification of
inputs. Just as EMMA does not standardize the application markup
for semantic results, though, it does not make sense to try and
standardize emotion markup within EMMA. One promising approach is
to combine the containers and metadata annotation of EMMA with the
<a href="http://www.w3.org/TR/emotionml">EmotionML</a> markup, as
shown in the following example.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">expression of boredom</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
xmlns:emo="http://www.w3.org/2009/10/emotionml">
<emma:interpretation id="emo1"
emma:start="1241035886246"
emma:end="1241035888246"
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="false"
emma:signal="http://example.com/input345.amr"
emma:media-type="audio/amr; rate:8000;"
emma:process="engine:type=emo_class&vn=1.2”>
<emo:emotion>
<emo:intensity
value="0.1"
confidence="0.8"/>
<emo:category
set="everydayEmotions"
name="boredom"
confidence="0.1"/>
</emo:emotion>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>In this example, we use the capabilities of EMMA for describing
the input signal, its temporal characteristics, modality, sampling
rate, audio codec etc. and EmotionML is used to provide the
specific representation of the emotion. Other EMMA container
elements also have strong use cases for emotion recognition. For
example, <code><emma:one-of></code> can be used to represent
N-best lists of competing classifications of emotion. The
<code><emma:group></code> element could be used to combine a
semantic interpretation of a user input with an emotional
classification, as illustrated in the following example. Note that
all of the general properties of the signal can be specified on the
<code><emma:group></code> element.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">spoken input "flights to boston tomorrow" to dialog
system in angry voice</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
xmlns:emo="http://www.w3.org/2009/10/emotionml">
<emma:group id="result1"
emma:start="1241035886246"
emma:end="1241035888246"
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="false"
emma:signal="http://example.com/input345.amr"
emma:media-type="audio/amr; rate:8000;">
<emma:interpretation id="asr1"
emma:tokens="flights to boston tomorrow"
emma:confidence="0.76"
emma:process="engine:type=asr_nl&vn=5.2”>
<flight>
<dest>boston</dest>
<date>tomorrow</date>
</flight>
</emma:interpretation>
<emma:interpretation id="emo1"
emma:process="engine:type=emo_class&vn=1.2”>
<emo:emotion>
<emo:intensity
value="0.3"
confidence="0.8"/>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.8"/>
</emo:emotion>
</emma:interpretation>
<emma:group-info>
meaning_and_emotion
</emma:group-info>
</emma:group>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>The element <code><emma:group></code> can also be used to
capture groups of emotion detection results from individual
modalities for combination by a multimodal fusion component or when
automatic recognition results are described together with manually
annotated data. This use case is inspired by <a href=
"http://www.w3.org/2005/Incubator/emotion/XGR-emotion/#AppendixUseCases">
Use case 2b (II)</a> of the Emotion Incubator Group Report. The
following example illustrates the grouping of three
interpretations, namely: a speech analysis emotion classifier, a
physiological emotion classifier measuring blood pressure, and a
human annotator viewing video, for two different media files (from
the same episode) that are synchronized via <code>emma:start</code>
and <code>emma:end</code> attributes. In this case, the
physiological reading is for a subinterval of the video and audio
recording.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">audio, video, and physiological sensor of a test
user acting with a new design.</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
xmlns:emo="http://www.w3.org/2009/10/emotionml">
<emma:group id="result1">
<emma:interpretation id="speechClassification1"
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="false"
emma:start="1241035884246"
emma:end="1241035887246"
emma:signal="http://example.com/video_345.mov"
emma:process="engine:type=emo_voice_classifier”>
<emo:emotion>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.8"/>
</emo:emotion>
</emma:interpretation>
<emma:interpretation id="bloodPressure1"
emma:medium="tactile"
emma:mode="blood_pressure"
emma:verbal="false"
emma:start="1241035885300"
emma:end="1241035886900"
emma:signal="http://example.com/bp_signal_345.cvs"
emma:process="engine:type=emo_physiological_classifier”>
<emo:emotion>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.6"/>
</emo:emotion>
</emma:interpretation>
<emma:interpretation id="humanAnnotation1"
emma:medium="visual"
emma:mode="video"
emma:verbal="false"
emma:start="1241035884246"
emma:end="1241035887246"
emma:signal="http://example.com/video_345.mov"
emma:process="human:type=labeler&id=1”>
<emo:emotion>
<emo:category
set="everydayEmotions"
name="fear"
confidence="0.6"/>
</emo:emotion>
</emma:interpretation>
<emma:group-info>
several_emotion_interpretations
</emma:group-info>
</emma:group>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>A combination of <code><emma:group></code> and
<code><emma:derivation></code> could be used to represent a
combined emotional analysis resulting from analysis of multiple
different modalities of the user's behavior. The
<code><emma:derived-from></code> and
<code><emma:derivation></code> elements can be used to
capture both the fused result and combining inputs in a single EMMA
document. In the following example, visual analysis of user
activity and analysis of their speech have been combined by a
multimodal fusion component to provide an combined multimodal
classification of the user's emotional state. The specifics of the
multimodal fusion algorithm are not relevant here, or to EMMA in
general. Note though that in this case, the multimodal fusion
appears to have compensated for uncertainty in the visual analysis
which gave two results with equal confidence, one for fear and one
for anger. The <code>emma:one-of</code> element is used to capture
the N-best list of multiple competing results from the video
classifier.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">multimodal fusion of emotion classification of user
based on analysis of voice and video</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
xmlns:emo="http://www.w3.org/2009/10/emotionml">
<emma:interpretation id="multimodalClassification1"
emma:medium="acoustic,visual"
emma:mode="voice,video"
emma:verbal="false"
emma:start="1241035884246"
emma:end="1241035887246"
emma:process="engine:type=multimodal_fusion”>
<emo:emotion>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.7"/>
</emo:emotion>
<emma:derived-from ref="mmgroup1" composite="true"/>
</emma:interpretation>
<emma:derivation>
<emma:group id="mmgroup1">
<emma:interpretation id="speechClassification1"
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="false"
emma:start="1241035884246"
emma:end="1241035887246"
emma:signal="http://example.com/video_345.mov"
emma:process="engine:type=emo_voice_classifier”>
<emo:emotion>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.8"/>
</emo:emotion>
</emma:interpretation>
<emma:one-of id="video_nbest"
emma:medium="visual"
emma:mode="video"
emma:verbal="false"
emma:start="1241035884246"
emma:end="1241035887246"
emma:signal="http://example.com/video_345.mov"
emma:process="engine:type=video_classifier">
<emma:interpretation id="video_result1"
<emo:emotion>
<emo:category
set="everydayEmotions"
name="anger"
confidence="0.5"/>
</emo:emotion>
</emma:interpretation>
<emma:interpretation id="video_result2"
<emo:emotion>
<emo:category
set="everydayEmotions"
name="fear"
confidence="0.5"/>
</emo:emotion>
</emma:interpretation>
</emma:one-of>
<emma:group-info>
emotion_interpretations
</emma:group-info>
</emma:group>
</emma:derivation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>One issue which need to be addressed is the relationship between
EmotionML <code>confidence</code> attribute values and
<code>emma:confidence</code> values. Could the
<code>emma:confidence</code> value be used as an overall confidence
value for the emotion result, or should confidence values appear
only within the EmotionML markup since confidence is used for
different dimensions of the result? If a series of possible emotion
classifications are contained in <code>emma:one-of</code> should
they be ordered by the EmotionML confidence values?</p>
<h3 id="s2.4">2.4 Richer semantic representations in EMMA</h3>
<p>Enriching the semantic information represented in EMMA would be
helpful for certain use cases. For example, the concepts in an EMMA
application semantics representation might include references to
concepts in an ontology such as WordNet. Then, a translation system
might make use of a sense disambiguator to represent the
probabilities of different senses of a word, for example, "spicy"
in the example has two possible WordNet senses. In the following
example, inputs to a machine translation system are annotated in
the application semantics with specific WordNet senses which are
used to distinguish among different senses of the words. A
translation system might make use of a sense disambiguator to
represent the probabilities of different senses of a word, for
example, "spicy" in the example has two possible WordNet
senses.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td>I love to eat Mexican food because it is spicy</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example"
xmlns="http://example.com/universal_translator">
<emma:interpretation id="spanish">
<result xml:lang="es">
Adoro alimento mejicano porque es picante.
</result>
<emma:derived-from resource="#english" composite="false"/>
</emma:interpretation>
<emma:derivation>
<emma:interpretation id="english"
emma:tokens="I love to eat Mexican food
because it is spicy">
<assertion>
<interaction
wordnet="1828736"
wordnet-desc="love, enjoy (get pleasure from)"
token="love">
<experiencer
reference="first"
token="I">
<attribute quantity="single"/>
</experiencer>
<attribute time="present"/>
<content>
<interaction wordnet="1157345"
wordnet-desc="eat (take in solid food)"
token="to eat">
<object id="obj1"
wordnet="7555863"
wordnet-desc="food, solid food (any solid
substance (as opposed to
liquid) that is used as a source
of nourishment)"
token="food">
<restriction
wordnet="3026902"
wordnet-desc="Mexican (of or relating
to Mexico or its inhabitants)"
token="Mexican"/>
</object>
</interaction>
</content>
<reason token="because">
<experiencer reference="third"
target="obj1" token="it"/>
<attribute time="present"/>
<one-of token="spicy">
<modification wordnet="2397732"
wordnet-desc="hot, spicy (producing a
burning sensation on
the taste nerves)"
confidence="0.8"/>
<modification wordnet="2398378"
wordnet-desc="piquant, savory,
savoury, spicy, zesty
(having an agreeably
pungent taste)"
confidence="0.4"/>
</one-of>
</reason>
</interaction>
</assertion>
</emma:interpretation>
</emma:derivation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>In addition to sense disambiguation it could also be useful to
relate concepts to superordinate concepts in some ontology. For
example, it could be useful to know that O'Hare is an airport and
Chicago is a city, even though they might be used interchangeably
in an application. For example, in an air travel application a user
might say "I want to fly to O'Hare" or "I want to fly to
Chicago".</p>
<h3 id="s2.5">2.5 Representing system output in EMMA</h3>
<p><a href="http://www.w3.org/TR/emma/">EMMA 1.0</a> was explicitly
limited in scope to representation of the interpretation of user
inputs. Most interactive systems also produce system output and one
of the major possible extensions of the EMMA language would be to
provide support for representation of the outputs made by the
system in addition to the user inputs. One advantage of having EMMA
representation for system output is that system logs can have
unified markup representation across input and output for viewing
and analyzing user/system interactions. In this section, we
consider two different use cases for addition of output
representation to EMMA.</p>
<h4 id="s2.5.1">2.5.1 Abstracting output from specific modality or
output language</h4>
<p>It is desirable for a multimodal dialog designer to be able to
isolate dialog flow (for example <a href=
"http://www.w3.org/TR/2009/WD-scxml-20091029/">SCXML</a> code) from
the details of specific utterances produced by a system. This can
achieved by using presentation or media planning component that
takes the abstract intent from the system and creates one or more
modality-specific presentations. In addition to isolating dialog
logic from specific modality choice this can also make it easier to
support different technologies for the same modality. For example,
in the example below, the GUI technology is HTML, but abstracting
output would also support using a different GUI technology like
Flash, or <a href="http://www.w3.org/Graphics/SVG/">SVG</a>. If
EMMA is extended to support output, then EMMA documents could be
used for communication from the dialog manager to the presentation
planning component, and also potentially for the documents
generated by the presentation component, which could embed specific
markup such as HTML and <a href=
"http://www.w3.org/TR/speech-synthesis/">SSML</a>. Just as there
can be multiple different stages of processing of a user input,
there may be multiple stages of processing of an output, and the
mechanisms of EMMA can be used to capture and provide metadata on
these various stages of output processing.</p>
<p>Potential benefits for this approach include:</p>
<ol>
<li>Accessibility: it would be useful for an application to be able
to accommodate users who might have an assistive device or devices
without requiring special logic or even special applications.</li>
<li>Device independence: An application could separate the flow in
the IM from the details of the presentation. This might be
especially useful if there are a lot of target devices with
different types of screens, cameras, or possibilities for haptic
output.</li>
<li>Adapting to user preferences: An application could accommodate
different dynamic preferences, for example, switching to visual
presentation from speech in public places without disturbing the
application flow.</li>
</ol>
<p>In the following example, we consider the introduction of a new
EMMA element, <code><emma:presentation></code> which is the
output equivalent of the input element
<code><emma:interpretation></code>. Like
<code><emma:interpretation></code> this element can take
<code>emma:medium</code> and <code>emma:mode</code> attributes
classifying the specific modality. It could also potentially take
timestamp annotations indicating the time at which the output
should be produced. One issue is whether timestamps should be used
for the intended time of production or for the actual time of
production and how to capture both. Relative timestamps could be
used to anchor the planned time of presentation to another element
of system output. In this example we show how the
<code>emma:semantic-rep</code> attribute proposed in <a href=
"#s2.12">Section 2.12</a> could potentially be used to indicate the
markup language of the output.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Output</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">IM (step 1)</td>
<td>semantics of "what would you like for lunch?"</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation>
<question>
<topic>lunch</topic>
<experiencer>second person</experiencer>
<object>questioned</object>
</question>
</emma:presentation>
</emma:emma>
</pre>
<p>or, more simply, without natural language generation:</p>
<pre>
<emma:emma>
<emma:presentation>
<text>what would you like for lunch?</text>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">presentation manager (voice output)</td>
<td>text "what would you like for lunch?"</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="true"
emma:function="dialog"
emma:semantic-rep="ssml">
<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.w3.org/2001/10/synthesis
http://www.w3.org/TR/speech-synthesis/synthesis.xsd"
xml:lang="en-US">
what would you like for lunch</speak>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">presentation manager (GUI output)</td>
<td>text "what would you like for lunch?"</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation
emma:medium="visual"
emma:mode="graphics"
emma:verbal="true"
emma:function="dialog"
emma:semantic-rep="html">
<html>
<body>
<p>what would you like for lunch?"</p>
<input name="" type="text">
<input type="submit" name="Submit"
value="Submit">
</body>
</html>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h4 id="s2.5.2">2.5.2 Coordination of outputs distributed over
multiple different modalities</h4>
<p>A critical issue in the enablement of effective multimodal
output is to enable synchronization of outputs in different output
media. For example, text to speech output or prompts may be
coordinated with graphical outputs such as highlighting of items in
an HTML table. EMMA markup could potentially be used to indicate
that elements in each medium should be coordinated in their
presentation. In the following example, a new attribute
<code>emma:sync</code> is used to indicate the relationship between
a <code><mark></code> in <a href=
"http://www.w3.org/TR/speech-synthesis/">SSML</a> and an element to
be highlighted in HTML content. The <code>emma:process</code>
attribute could be used to identify the presentation planning
component. Again <code>emma:semantic-rep</code> is used to indicate
the embedded markup language.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Output</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">system</td>
<td width="50">Coordinated presentation of table with TTS</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:group id=“gp1"
emma:medium="acoustic,visual"
emma:mode="voice,graphics"
emma:process="http://example.com/presentation_planner">
<emma:presentation id=“pres1"
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="true"
emma:function="dialog"
emma:semantic-rep="ssml">
<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.w3.org/2001/10/synthesis
http://www.w3.org/TR/speech-synthesis/synthesis.xsd"
xml:lang="en-US">
Item 4 <mark emma:sync="123"/> costs fifteen dollars.
</speak>
</emma:presentation>
<emma:presentation id=“pres2"
emma:medium="visual"
emma:mode="graphics"
emma:verbal="true"
emma:function="dialog"
emma:semantic-rep="html"
<table xmlns="http://www.w3.org/1999/xhtml">
<tr>
<td emma:sync="123">Item 4</td>
<td>15 dollars</td>
</tr>
</table>
</emma:presentation>
</emma:group>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>One issue to be considered is the potential role of the
Synchronized Multimedia Integration Language (<a href=
"http://www.w3.org/TR/REC-smil/">SMIL</a>) for capturing multimodal
output synchronization. SMIL markup for multimedia presentation
could potentially be embedded within EMMA markup coming from an
interaction manager to a client for rendering.</p>
<h3 id="s2.6">2.6 Representation of dialogs in EMMA</h3>
<p>The scope of <a href="http://www.w3.org/TR/emma/">EMMA 1.0</a>
was explicitly limited to representation of single turns of user
input. For logging, analysis, and training purposes it could be
useful to be able to represent multi-stage dialogs in EMMA. The
following example shows a sequence of two EMMA documents where the
the first is a request from the system and the second is the user
response. A new attribute <code>emma:in-response-to</code> is used
to relate the system output to the user input. EMMA already has an
attribute <code>emma:dialog-turn</code> used to provide an
indicator of the turn of interaction.</p>
<h4 id="dialog_example">Example</h4>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">system</td>
<td width="50">where would you like to go?</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation id="pres1"
emma:dialog-turn="turn1"
emma:in-response-to="initial">
<prompt>
where would you like to go?
</prompt>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">user</td>
<td>New York</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id="int1"
emma:dialog-turn="turn2"
emma:tokens="new york"
emma:in-response-to="pres1">
<location>
New York
</location>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>In this case, each utterance is still a single EMMA document,
and markup is being used to encode the fact that the utterance are
part of an ongoing dialog. Another possibility would be to use EMMA
markup to contain a whole dialog within a single EMMA document. For
example, a flight query dialog could be represented as follows
using <code><emma:sequence></code>:</p>
<h4 id="sequence_example">Example</h4>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td>flights to boston</td>
<td rowspan="5">
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:sequence>
<emma:interpretation id="user1"
emma:dialog-turn="turn1"
emma:in-response-to="initial">
<emma:literal>
flights to boston
</emma:literal>
</emma:interpretation>
<emma:presentation id="sys1"
emma:dialog-turn="turn2"
emma:in-response-to="user1">
<prompt>
traveling to boston,
which departure city
</prompt>
</emma:presentation>
<emma:interpretation id="user2"
emma:dialog-turn="turn3"
emma:in-response-to="sys1">
<emma:literal>
san francisco
</emma:literal>
</emma:interpretation>
<emma:presentation id="sys2"
emma:dialog-turn="turn4"
emma:in-response-to="user2">
<prompt>
departure date
</prompt>
</emma:presentation>
<emma:interpretation id="user3"
emma:dialog-turn="turn5"
emma:in-response-to="sys2">
<emma:literal>
next thursday
</emma:literal>
</emma:interpretation>
</emma:sequence>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">system</td>
<td>traveling to Boston, which departure city?</td>
</tr>
<tr>
<td width="50">user</td>
<td>San Francisco</td>
</tr>
<tr>
<td width="50">system</td>
<td>departure date</td>
</tr>
<tr>
<td width="50">user</td>
<td>next thursday</td>
</tr>
</tbody>
</table>
<p>Note that in this example with
<code><emma:sequence></code> the
<code>emma:in-response-to</code> attribute is still important since
there is no guarantee that an utterance in a dialog is a response
to the previous utterance. For example, a sequence of utterances
may all be from the user.</p>
<p>One issue that arises with the representation of whole dialogs
is that the resulting EMMA documents with full sets of metadata may
become quite large. One possible extension that could help with
this would be allow the value of <code>emma:in-response-to</code>
to be URI valued so it can refer to another EMMA document.</p>
<h3 id="s2.7">2.7 Logging, analysis, and annotation</h3>
<p>EMMA was initially designed to facilitate communication among
components of an interactive system. It has become clear over time
that the language can also play an important role in logging of
user/system interactions. In this section, we consider possible
advantages of EMMA for log analysis and illustrate how elements
such as <code><emma:derived-from></code> could be used to
capture and provide metadata on annotations made by human
annotators.</p>
<h3 id="s2.7.1">2.7.1 Log analysis</h3>
<p>The proposal above for representing system output in EMMA would
support after the fact analysis of dialogs. For example, if both
the system's and the user's utterance are represented in EMMA, it
should be much easier to examine relationships between factors such
as how the wording of prompts might affect user's responses or even
the modality that users select for their responses. It would also
be easier to study timing relationships between the system prompt
and the user's responses. For example, prompts that are confusing
might consistently elicit longer times before the user starts
speaking. This would be useful even without a presentation manager
or fission component. In the following example, it might be useful
to look into the relationship between the end of the prompt and the
start of the user's response. We use here the
<code>emma:in-response-to</code> attribute suggested in <a href=
"#s2.6">Section 2.6</a> for the representation of dialogs in
EMMA.</p>
<h4 id="log_example">Example</h4>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">system</td>
<td>where would you like to go?</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation id="pres1"
emma:dialog-turn="turn1"
emma:in-response-to="initial"
emma:start="1241035886246"
emma:end="1241035888306">
<prompt>
where would you like to go?
</prompt>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">user</td>
<td>New York</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id="int1"
emma:dialog-turn="turn2"
emma:in-response-to="pres1"
emma:start="1241035891246"
emma:end="1241035893000"">
<destination>
New York
</destination>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h3 id="s2.7.2">2.7.2 Log annotation</h3>
<p>EMMA is generally used to show the recognition, semantic
interpretation etc. assigned to inputs based on <em>machine</em>
processing of the user input. Another potential use case is to
provide a mechanism for showing the interpretation assigned to an
input by a human annotator and using
<code><emma:derived-from></code> to show the relationship
between the input received the annotation. The
<code><emma:one-of></code> element can then be used to show
multiple competing annotations for an input. The
<code><emma:group></code> element could be used to contain
multiple different kinds of annotation on a single input. One
question here is whether <code>emma:process</code> can be used for
identification of the labeller, and whether there is a need for any
additional EMMA machinery to better support this this use case. In
these examples, <code><emma:literal></code> contains mixed
content with text and elements. This is in keeping with the EMMA
1.0 schema.</p>
<p>One issue that arises concerns the meaning of an
<code>emma:confidence</code> value on an annotated interpretation.
It may be preferable to have another attribute for annotator
confidence rather than overloading the current
<code>emma:confidence</code>.</p>
<p>Another issue concerns mixing of system results and human
annotation. Should these be grouped or is the annotation a derived
from the system's interpretation. Also it would be useful to
capture the time of the annotation. The current timestamps are used
for the time of the input itself. Where should annotation
timestamps be recorded?</p>
<p>It would also be useful to have a way to specify open ended
information about the annotator such as their native language,
profession, experience etc. One approach would be to be to have a
new attribute e.g. <code>emma:annotator</code> with a URI value
that could point to a description of the annotator.</p>
<p>It could be useful for very common annotations to have in
addition to <code>emma:tokens</code> another dedicated element to
indicate the annotated transcription, for example,
<code>emma:annotated-tokens</code> or
<code>emma:transcription</code>.</p>
<p>In the following example, we show how
<code>emma:interpretation</code> and <code>emma:derived-from</code>
could be used to capture the annotation of an input.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td width="614"><strong>Input</strong></td>
<td width="531"><strong>EMMA</strong></td>
</tr>
<tr>
<td width="93">user</td>
<td>
<p>In this example the user has said:</p>
<p>"flights from boston to san francisco leaving on the fourth of
september"</p>
<p>and the semantic interpretation here is a semantic tagging of
the utterance done by a human annotator. emma:process is used to
provide details about the annotation</p>
</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id="annotation1"
emma:process="annotate:type=semantic&annotator=michael"
emma:confidence="0.90">
<emma:literal>
flights from <src>san francisco</src> to
<dest>boston</dest> on
<date>the fourth of september</date>
</emma:literal>
<emma:derived-from resource="#asr1"/>
</emma:interpretation>
<emma:derivation>
<emma:interpretation id="asr1"
emma:medium="acoustic"
emma:mode="voice"
emma:function="dialog"
emma:verbal="true"
emma:lang="en-US"
emma:start="1241690021513"
emma:end="1241690023033"
emma:media-type="audio/amr; rate=8000"
emma:process="smm:type=asr&version=watson6"
emma:confidence="0.80">
<emma:literal>
flights from san francisco
to boston on the fourth of september
</emma:literal>
</emma:interpretation>
</emma:derivation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<p>Taking this example a step further,
<code><emma:group></code> could be used to group annotations
made by multiple different annotators of the same utterance:</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td width="614"><strong>Input</strong></td>
<td width="531"><strong>EMMA</strong></td>
</tr>
<tr>
<td width="93">user</td>
<td>
<p>In this example the user has said:</p>
<p>"flights from boston to san francisco leaving on the fourth of
september"</p>
<p>and the semantic interpretation here is a semantic tagging of
the utterance done by two different human annotators.
<code>emma:process</code> is used to provide details about the
annotation</p>
</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:group emma:confidence="1.0">
<emma:interpretation id="annotation1"
emma:process="annotate:type=semantic&annotator=michael"
emma:confidence="0.90">
<emma:literal>
flights from <src>san francisco</src>
to <dest>boston</dest>
on <date>the fourth of september</date>
</emma:literal>
<emma:derived-from resource="#asr1"/>
</emma:interpretation>
<emma:interpretation id="annotation2"
emma:process="annotate:type=semantic&annotator=debbie"
emma:confidence="0.90">
<emma:literal>
flights from <src>san francisco</src>
to <dest>boston</dest> on
<date>the fourth of september</date>
</emma:literal>
<emma:derived-from resource="#asr1"/>
</emma:interpretation>
<emma:group-info>semantic_annotations</emma:group-info>
</emma:group>
<emma:derivation>
<emma:interpretation id="asr1"
emma:medium="acoustic"
emma:mode="voice"
emma:function="dialog"
emma:verbal="true"
emma:lang="en-US"
emma:start="1241690021513"
emma:end="1241690023033"
emma:media-type="audio/amr; rate=8000"
emma:process="smm:type=asr&version=watson6"
emma:confidence="0.80">
<emma:literal>
flights from san francisco to boston
on the fourth of september
</emma:literal>
</emma:interpretation>
</emma:derivation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h3 id="s2.8">2.8 Multisentence Inputs</h3>
<p>For certain applications, it is useful to be able to represent
the semantics of multi-sentence inputs, which may be in one of more
modalities such as speech (e.g. voicemail), text (e.g. email), or
handwritten input. One application use case is for summarizing a
voicemail or email. We develop this example below.</p>
<p>There are at least two possible approaches to addressing this
use case.</p>
<ol>
<li>If there is no reason to distinguish the individual sentences
of the input or interpret them individually, the entire input could
be included as the value of the <code>emma:tokens</code> attribute
of an <code><emma:interpretation></code> or
<code><emma:one-of></code> element, where the semantics of
the input is represented as the value of an
<code><emma:interpretation></code>. Although in principle
there is no upper limit on the length of a <code>emma:tokens</code>
attribute, in practice, this approach might be cumbersome for
longer or more complicated texts.</li>
<li>If more structure is required, the interpretations of the
individual sentences in the input could be grouped as individual
<code><emma:interpretation></code> elements under an
<code><emma:sequence></code> element. A single unified
semantics representing the meaning of the entire input could then
be represented with the sequence as the value of
<code><emma:derived-from></code>.</li>
</ol>
The example below illustrates the first approach.
<h4 id="multisentence_example">Example</h4>
<table border="1">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td width="614"><strong>Input</strong></td>
<td width="531"><strong>EMMA</strong></td>
</tr>
<tr>
<td width="93">user</td>
<td>
<p>Hi Group,</p>
<p>You are all invited to lunch tomorrow at Tony's Pizza at 12:00.
Please let me know if you're planning to come so that I can make
reservations. Also let me know if you have any dietary
restrictions. Tony's Pizza is at 1234 Main Street. We will be
discussing ways of using EMMA.</p>
<p>Debbie</p>
</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation
emma:tokens="Hi Group, You are all invited to
lunch tomorrow at Tony's Pizza at 12:00.
Please let me know if you're planning to
come so that I can make reservations.
Also let me know if you have any dietary
restrictions. Tony's Pizza is at 1234
Main Street. We will be discussing
ways of using EMMA." >
<business-event>lunch</business-event>
<host>debbie</host>
<attendees>group</attendees>
<location>
<name>Tony's Pizza</name>
<address> 1234 Main Street</address>
</location>
<date> tuesday, March 24</date>
<needs-rsvp>true</needs-rsvp>
<needs-restrictions>true</need-restrictions>
<topic>ways of using EMMA</topic>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h3 id="s2.9">2.9 Multi-participant interactions</h3>
<p><a href="http://www.w3.org/TR/emma/">EMMA 1.0</a> primarily
focussed on the interpretation of inputs from a single user. Both
for annotation of human-human dialogs and for the emerging systems
which support dialog or multimodal interaction with multiple
participants (such as multimodal systems for meeting analysis), it
is important to support annotation of interactions involving
multiple different participants. The proposals above for capturing
dialog can play an important role. One possible further extension
would be to add specific markup for annotation of the user making a
particular contribution. In the following example, we use an
attribute <code>emma:participant</code> to identify the participant
contributing each response to the prompt.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td width="668"><strong>Input</strong></td>
<td width="480"><strong>EMMA</strong></td>
</tr>
<tr>
<td width="90">system</td>
<td>Please tell me your lunch orders</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:presentation id="pres1"
emma:dialog-turn="turn1"
emma:in-response-to="initial"
emma:start="1241035886246"
emma:end="1241035888306">
<prompt>please tell me your lunch orders</prompt>
</emma:presentation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="90">user1</td>
<td>I'll have a mushroom pizza</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id="int1"
emma:dialog-turn="turn2"
emma:in-response-to="pres1"
emma:participant="user1"
emma:start="1241035891246"
emma:end="1241035893000"">
<pizza>
<topping>
mushroom
</topping>
</pizza>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="90">user3</td>
<td>I'll have a pepperoni pizza.</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id="int2"
emma:dialog-turn="turn3"
emma:in-response-to="pres1"
emma:participant="user2"
emma:start="1241035896246"
emma:end="1241035899000"">
<pizza>
<topping>
pepperoni
</topping>
</pizza>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h3 id="s2.10">2.10 Capturing sensor data such as GPS in EMMA</h3>
<p>The multimodal examples described in the <a href=
"http://www.w3.org/TR/emma/">EMMA 1.0</a> specification, include
combination of spoken input with a location specified by touch or
pen. With the increase in availability of GPS and other location
sensing technology such as cell tower triangulation in mobile
devices, it is desirable to provide a method for annotating inputs
with the device location and, in some cases fusing the GPS
information with the spoken command in order to derive a complete
interpretation. GPS information could potentially be determined
using the <a href=
"http://www.w3.org/TR/2009/WD-geolocation-API-20090707/">Geolocation
API Specification</a> from the <a href=
"http://www.w3.org/2008/geolocation/">Geolocation working group</a>
and then encoded into a EMMA result sent to a server for
fusion.</p>
<p>One possibility using the current EMMA capabilities is to use
<code><emma:group></code> to associate GPS markup with the
semantics of a spoken command. For example, the user might say
"where is the nearest pizza place?" and the interpretation of the
spoken command is grouped with markup capturing the GPS sensor
data. This example uses the existing
<code><emma:group></code> element and extends the set of
values of <code>emma:medium</code> and <code>emma:mode</code> to
include <code>"sensor"</code> and <code>"gps"</code>
respectively.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">where is the nearest pizza place?</td>
<td rowspan="2">
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:group>
<emma:interpretation
emma:tokens="where is the nearest pizza place"
emma:confidence="0.9"
emma:medium="acoustic"
emma:mode="voice"
emma:start="1241035887111"
emma:end="1241035888200"
emma:process="reco:type=asr&version=asr_eng2.4"
emma:media-type="audio/amr; rate=8000"
emma:lang="en-US">
<category>pizza</category>
</emma:interpretation>
<emma:interpretation
emma:medium="sensor"
emma:mode="gps"
emma:start="1241035886246"
emma:end="1241035886246">
<lat>40.777463</lat>
<lon>-74.410500</lon>
<alt>0.2</alt>
</emma:interpretation>
<emma:group-info>geolocation</emma:group-info>
</emma:group>
</emma:emma>
</pre></td>
</tr>
<tr>
<td width="50">GPS</td>
<td>(GPS coordinates)</td>
</tr>
</tbody>
</table>
<p>Another, more abbreviated, way to incorporate sensor information
would be to have spatial correlates of the timestamps and allow for
location stamping of user inputs, e.g. <code>emma:lat</code> and
<code>emma:lon</code> attributes that could appear on EMMA
container elements to indicate the location where the input was
produced.</p>
<h3 id="s2.11">2.11 Extending EMMA from NLU to also represent
search or database retrieval results</h3>
<p>In many of the use cases considered so far, EMMA is used for
representation of the results of speech recognition and then for
the results of natural language understanding, and possibly
multimodal fusion. In systems used for voice search, the next step
is often to conduct search and extract a set of records or
documents. Strictly speaking, this stage of processing is out of
scope for EMMA. It is odd though to have the mechanisms of EMMA
such as <code><emma:one-of></code> for ambiguity all the way
up to NLU or multimodal fusion, but not to have access to the same
apparatus for representation of the next stage of processing which
can often be search or database lookup. Just as we can use
<code><emma:one-of></code> and <code>emma:confidence</code>
to represent N-best recognitions or semantic interpretations,
similarly we can use them to represent a series of search results
along with their relative confidence. One issue is whether we need
some measure other than confidence for relevance ranking, or is the
same confidence attribute can be used.</p>
<p>One issue that arises is whether it would be useful to have some
recommended or standardized element to use for query results e.g
<code><result></code> as in the following example. Another
issue is how to annotate information about the database and the
query that was issued. The database could be indicate as part of
the <code>emma:process</code> value as in the following example.
For web search the query URL could be annotated on the result e.g.
<code><result url="http://cnn.com"/></code>. For database
queries, the query, SQL for example could be annotated on the
results or on the containing <code><emma:group></code>.</p>
<p>The following example shows the use of EMMA to represent the
results of database retrieval from an employee directory. The user
says "John Smith". After ASR, NLU, and then database look up, the
system returns the XML here which shows the N-best lists associated
with each of these three stages of processing. Here
<code><emma:derived-from&gr;</code> is used to indicate the
relations between each of the <code><emma:one-of></code>
elements. However, if you want to see which specific ASR result a
record is derived from, you would need to put
<code><emma:derived-from></code> on the individual
elements.</p>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td width="50">User says "John Smith"</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:one-of id="db_results1"
emma:process="db:type=mysql&database=personel_060109.db>
<emma:interpretation id="db_nbest1"
emma:confidence="0.80" emma:tokens="john smith">
<result>
<name>John Smith</name>
<room>dx513</room>
<number>123-456-7890>/number>
</result>
</emma:interpretation>
<emma:interpretation id="db_nbest2"
emma:confidence="0.70" emma:tokens="john smith">
<result>
<name>John Smith</name>
<room>ef312</room>
<number>123-456-7891>/number>
</result>
</emma:interpretation>
<emma:interpretation id="db_nbest3"
emma:confidence="0.50" emma:tokens="jon smith">
<result>
<name>Jon Smith</name>
<room>dv900</room>
<number>123-456-7892>/number>
</result>
</emma:interpretation>
<emma:interpretation id="db_nbest4"
emma:confidence="0.40" emma:tokens="joan smithe">
<result>
<name>Joan Smithe</name>
<room>lt567</room>
<number>123-456-7893>/number>
</result>
</emma:interpretation>
<emma:derived-from resource="#nlu_results1/>
</emma:one-of>
<emma:derivation>
<emma:one-of id="nlu_results1"
emma:process="smm:type=nlu&version=parser">
<emma:interpretation id="nlu_nbest1"
emma:confidence="0.99" emma:tokens="john smith">
<fn>john</fn><ln>smith</ln>
</emma:interpretation>
<emma:interpretation id="nlu_nbest2"
emma:confidence="0.97" emma:tokens="jon smith">
<fn>jon</fn><ln>smith</ln>
</emma:interpretation>
<emma:interpretation id="nlu_nbest3"
emma:confidence="0.93" emma:tokens="joan smithe">
<fn>joan</fn><ln>smithe</ln>
</emma:interpretation>
<emma:derived-from resource="#asr_results1/>
</emma:one-of>
<emma:one-of id="asr_results1"
emma:medium="acoustic" emma:mode="voice"
emma:function="dialog" emma:verbal="true"
emma:lang="en-US" emma:start="1241641821513"
emma:end="1241641823033"
emma:media-type="audio/amr; rate=8000"
emma:process="smm:type=asr&version=watson6">
<emma:interpretation id="asr_nbest1"
emma:confidence="1.00">
<emma:literal>john smith</emma:literal>
</emma:interpretation>
<emma:interpretation id="asr_nbest2"
emma:confidence="0.98">
<emma:literal>jon smith</emma:literal>
</emma:interpretation>
<emma:interpretation id="asr_nbest3"
emma:confidence="0.89" >
<emma:literal>joan smithe</emma:literal>
</emma:interpretation>
</emma:one-of>
</emma:derivation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h3 id="s2.12">2.12 Supporting other semantic representation forms
in EMMA</h3>
<p>In the <a href="http://www.w3.org/TR/emma/">EMMA 1.0</a>
specification, the semantic representation of an input is
represented either in XML in some application namespace or as a
literal value using <code>emma:literal</code>. In some
circumstances it could be beneficial to allow for semantic
representation in other formats such as JSON. Serializations such
as JSON could potentially be contained within
<code>emma:literal</code> using CDATA, and a new EMMA annotation
e.g. <code>emma:semantic-rep</code> used to indicate the semantic
representation language being used.</p>
<h4 id="semantic_representation_example">Example</h4>
<table width="120">
<tbody>
<tr>
<td><strong>Participant</strong></td>
<td><strong>Input</strong></td>
<td><strong>EMMA</strong></td>
</tr>
<tr>
<td width="50">user</td>
<td>semantics of spoken input</td>
<td>
<pre>
<emma:emma
version="2.0"
xmlns:emma="http://www.w3.org/2003/04/emma"
xmlns="http://www.example.com/example">
<emma:interpretation id=“int1"
emma:confidence=".75”
emma:medium="acoustic"
emma:mode="voice"
emma:verbal="true"
emma:function="dialog"
emma:semantic-rep="json"
<emma:literal>
<![CDATA[
{
drink: {
liquid:"coke",
drinksize:"medium"},
pizza: {
number: "3",
pizzasize: "large",
topping: [ "pepperoni", "mushrooms" ]
}
}
]]>
</emma:literal>
</emma:interpretation>
</emma:emma>
</pre></td>
</tr>
</tbody>
</table>
<h2 id="references">General References</h2>
<p>EMMA 1.0 Requirements <a href=
"http://www.w3.org/TR/EMMAreqs/">http://www.w3.org/TR/EMMAreqs/</a></p>
<p>EMMA Recommendation <a href=
"http://www.w3.org/TR/emma/">http://www.w3.org/TR/emma/</a></p>
<h2 id="acknowledgements">Acknowledgements</h2>
<p>Thanks to Jim Larson (W3C Invited Expert) for his contribution
to the section on EMMA for multimodal output.</p>
</body>
</html>