Name
Abstract | ||
|---|---|---|
The human ability to express and recognize emotions plays an important role in face-to-face communication, and as technology advances it will be increasingly important for computer-generated avatars to be similarly expressive. In this paper, we present the detailed development process for the Lifelike Responsive Avatar Framework (LRAF) and a prototype application for modeling a specific individual to analyze the effectiveness of expressive avatars. In particular, the goals of our pilot study (n = 1,744) are to determine whether the specific avatar being developed is capable of conveying emotional states (Ekmans six classic emotions) via facial features and whether a realistic avatar is an appropriate vehicle for conveying the emotional states accompanying spoken information. The results of this study show that happiness and sadness are correctly identified with a high degree of accuracy while the other four emotional states show mixed results. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15892-6_8 | IVA |
Keywords | Field | DocType |
pilot study,lifelike responsive avatar framework,appropriate vehicle,important role,emotional state,specific avatar,study show,expressive avatar,real person,computer-generated avatar,realistic avatar,development process | Social psychology,Sadness,Psychology,Happiness,Multimedia,Avatar | Conference |
Volume | ISSN | ISBN |
6356 | 0302-9743 | 3-642-15891-9 |
Citations | PageRank | References |
9 | 1.13 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangyoon Lee | 1 | 216 | 38.71 |
| Gordon Carlson | 2 | 9 | 1.13 |
| Steve Jones | 3 | 153 | 11.23 |
| Andrew E. Johnson | 4 | 437 | 67.01 |
| Jason Leigh | 5 | 909 | 111.85 |
| Luc Renambot | 6 | 257 | 26.73 |