Name
Title | ||
|---|---|---|
Predicting Extraversion from Non-verbal Features During a Face-to-Face Human-Robot Interaction. |
Abstract | ||
|---|---|---|
In this paper we present a system for automatic prediction of extraversion during the first thin slices of human-robot interaction (HRI). This work is based on the hypothesis that personality traits and attitude towards robot appear in the behavioural response of humans during HRI. We propose a set of four non-verbal movement features that characterize human behavior during the interaction. We focus our study on predicting Extraversion using these features extracted from a dataset consisting of 39 healthy adults interacting with the humanoid iCub. Our analysis shows that it is possible to predict to a good level (64 %) the Extraversion of a human from a thin slice of interaction relying only on non-verbal movement features. Our results are comparable to the state-of-the-art obtained in HHI [23]. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-25554-5_54 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Human-Robot Interaction,Personality,Non-verbal behaviour | Social psychology,Big Five personality traits,iCub,Extraversion and introversion,Face-to-face,Cognitive psychology,Psychology,Nonverbal communication,Robot,Human–robot interaction,Personality | Conference |
Volume | ISSN | Citations |
9388 | 0302-9743 | 7 |
PageRank | References | Authors |
0.53 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Faezeh Rahbar | 1 | 9 | 1.98 |
| Salvatore Maria Anzalone | 2 | 104 | 11.02 |
| Giovanna Varni | 3 | 170 | 26.42 |
| Elisabetta Zibetti | 4 | 41 | 7.52 |
| Serena Ivaldi | 5 | 163 | 19.72 |
| Mohamed Chetouani | 6 | 590 | 59.47 |