Name
Abstract | ||
|---|---|---|
Human-to-human conversation remain such a significant part of our working activities because its naturalness. Multimodal interaction systems combine visual information with voice, gestures and other modalities to provide flexible and powerful dialogue approaches. The use of integrated multiple input modes enables users to benefit from the natural approach used in human communication. However natural interaction approaches may introduce inter-pretation problems. This paper proposes a new approach to match a multimodal sentence with a template stored in a knowledge base to interpret the multimodal sentence and define the multimodal templates similarity. We have assumed to map each multimodal sentence to the natural language one. The system then provides the exact/approximate interpretation according to the template similarity level. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74827-4_51 | KES (2) |
Keywords | Field | DocType |
natural interaction approach,human-to-human conversation,template similarity level,multimodal sentence similarity,human-computer interaction systems,powerful dialogue approach,new approach,natural language,multimodal templates similarity,multimodal sentence,natural approach,multimodal interaction system,human computer interaction,multimodal interaction,knowledge base | Multimodal interaction,Gesture,Computer science,Naturalness,Natural approach,Natural language,Human–computer interaction,Natural language processing,Artificial intelligence,Knowledge base,Human communication,Sentence | Conference |
Volume | ISSN | Citations |
4693 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Ferri | 1 | 27 | 8.99 |
| Patrizia Grifoni | 2 | 287 | 46.89 |
| Stefano Paolozzi | 3 | 70 | 7.75 |