Name
Abstract | ||
|---|---|---|
This paper describes a context-dependent social gaze-control system implemented as part of a humanoid social robot. The system enables the robot to direct its gaze at multiple humans who are interacting with each other and with the robot. The attention mechanism of the gaze-control system is based on features that have been proven to guide human attention: nonverbal and verbal cues, proxemics, the visual field of view, and the habituation effect. Our gaze-control system uses Kinect skeleton tracking together with speech recognition and SHORE-based facial expression recognition to implement the same features. As part of a pilot evaluation, we collected the gaze behavior of 11 participants in an eye-tracking study. We showed participants videos of two-person interactions and tracked their gaze behavior. A comparison of the human gaze behavior with the behavior of our gaze-control system running on the same videos shows that it replicated human gaze behavior 89% of the time. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/THMS.2014.2303083 | Human-Machine Systems, IEEE Transactions |
Keywords | Field | DocType |
face recognition,gaze tracking,human-robot interaction,humanoid robots,robot vision,speech recognition,Kinect skeleton tracking,SHORE-based facial expression recognition,context-dependent social gaze-control system,eye-tracking study,habituation effect,human attention,humanoid social robot,nonverbal cues,proxemics,speech recognition,two-person interactions,verbal cues,visual field-of-view,Active vision,context-dependent social gaze behavior,human–robot interaction,scene analysis,social attention | Social robot,Facial recognition system,Computer vision,Gaze,Computer science,Proxemics,Nonverbal communication,Artificial intelligence,Robot,Human–robot interaction,Humanoid robot | Journal |
Volume | Issue | ISSN |
44 | 2 | 2168-2291 |
Citations | PageRank | References |
23 | 1.02 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abolfazl Zaraki | 1 | 59 | 9.20 |
| Daniele Mazzei | 2 | 99 | 15.00 |
| Manuel Giuliani | 3 | 27 | 1.83 |
| Danilo De Rossi | 4 | 311 | 55.41 |