Name
Abstract | ||
|---|---|---|
Embodied conversational agents should be able to provide feedback on what a human interlocutor is saying. We are compiling a list of facial feedback expressions that signal attention and interest, grounding and attitude. As expressions need to serve many functions at the same time and most of the component signals are ambiguous, it is important to get a better idea of the many to many mappings between displays and functions. We asked people to label several dynamic expressions as a probe into this semantic space. We compare simple signals and combined signals in order to find out whether a combination of signals can have a meaning on its own or not, i. e. the meaning of single signals is different from the meaning attached to the combination of these signals. Results show that in some cases a combination of signals alters the perceived meaning of the backchannel. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74997-4_14 | IVA |
Keywords | Field | DocType |
semantic space,facial feedback expression,embodied conversational agent,signal attention,combined signal,human interlocutor,better idea,dynamic expression,prototypical facial feedback signals,component signal,simple signal,facial expression | Expression (mathematics),Computer science,Embodied cognition,Speech recognition,Facial expression,Artificial intelligence,Facial feedback hypothesis,Many-to-many (data model),Multimedia,Semantic space,Backchannel | Conference |
Volume | ISSN | Citations |
4722 | 0302-9743 | 12 |
PageRank | References | Authors |
1.08 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Heylen | 1 | 867 | 89.11 |
| Elisabetta Bevacqua | 2 | 337 | 28.51 |
| Marion Tellier | 3 | 12 | 1.08 |
| Catherine Pelachaud | 4 | 2706 | 279.88 |