Name
Abstract | ||
|---|---|---|
In human-robot interaction, robots often fail to lead humans to intended reactions due to their limited ability to express affective nuances. In this paper, we propose a motion modification method that combines affective nuances with arbitrary motions of humanoid robots to induce humans to intended reactions by expressing affective states. The method is applicable to various humanoid robots that differ in degrees of freedom or appearances, and the affective nuances are parametrically expressed in a two-dimensional model comprised of valence and arousal. The experimental results showed that the desired affective nuances could be expressed by our method, but it also suggested some limitations. We believe that the method will contribute to interactive systems in which robots can communicate with appropriate expressions in various contexts. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IROS.2009.5354205 | IROS |
Keywords | Field | DocType |
motion modification method,arbitrary motion,various humanoid robot,affective nuance,appropriate expression,humanoid robot,intended reaction,affective state,various context,degree of freedom,motion control,analysis of variance,human robot interaction,data mining,accuracy,humanoid robots | Computer vision,Motion control,Expression (mathematics),Computer science,Artificial intelligence,Robot,Affect (psychology),Human–robot interaction,Humanoid robot | Conference |
Citations | PageRank | References |
8 | 0.65 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kayako Nakagawa | 1 | 75 | 5.61 |
| Kazuhiko Shinozawa | 2 | 343 | 31.97 |
| Hiroshi Ishiguro | 3 | 4680 | 513.13 |
| Takaaki Akimoto | 4 | 165 | 24.86 |
| Norihiro Hagita | 5 | 2877 | 259.10 |