Paper Info
Title
I Reach Faster When I See You Look: Gaze Effects in Human-Human and Human-Robot Face-to-Face Cooperation.
Abstract
Human-human interaction in natural environments relies on a variety of perceptual cues. Humanoid robots are becoming increasingly refined in their sensorimotor capabilities, and thus should now be able to manipulate and exploit these social cues in cooperation with their human partners. Previous studies have demonstrated that people follow human and robot gaze, and that it can help them to cope with spatially ambiguous language. Our goal is to extend these findings into the domain of action, to determine how human and robot gaze can influence the speed and accuracy of human action. We report on results from a human-human cooperation experiment demonstrating that an agent's vision of her/his partner's gaze can significantly improve that agent's performance in a cooperative task. We then implement a heuristic capability to generate such gaze cues by a humanoid robot that engages in the same cooperative interaction. The subsequent human-robot experiments demonstrate that a human agent can indeed exploit the predictive gaze of their robot partner in a cooperative task. This allows us to render the humanoid robot more human-like in its ability to communicate with humans. The long term objectives of the work are thus to identify social cooperation cues, and to validate their pertinence through implementation in a cooperative robot. The current research provides the robot with the capability to produce appropriate speech and gaze cues in the context of human-robot cooperation tasks. Gaze is manipulated in three conditions: Full gaze (coordinated eye and head), eyes hidden with sunglasses, and head fixed. We demonstrate the pertinence of these cues in terms of statistical measures of action times for humans in the context of a cooperative task, as gaze significantly facilitates cooperation as measured by human response times.
Year
DOI
Venue
2012
10.3389/fnbot.2012.00003
Front. Neurorobot.
Keywords
Field
DocType
cooperation,gaze,human–human interaction,human–robot interaction,neurorobotics,human robot interaction
Gaze,Social cue,Communication,Computer science,Face-to-face,Artificial intelligence,Ambiguous grammar,Robot,Perception,Machine learning,Human–robot interaction,Humanoid robot
Journal
Volume
ISSN
Citations 
6
1662-5218
42
PageRank 
References 
Authors
2.04
10
8
Name
Order
Citations
PageRank
Jean-David Boucher11228.68
Ugo Pattacini213312.87
Amélie Lelong3473.11
Gérard Bailly460999.37
Frédéric Elisei527525.05
Sascha Fagel617319.85
Peter Ford Dominey726128.87
Jocelyne Ventre-Dominey8462.99