Group attention control for communication robots with wizard of OZ approach
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Effect of restarts and pauses on achieving a state of mutual orientation between a human and a robot
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Revealing Gauguin: engaging visitors in robot guide's explanation in an art museum
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Robotic wheelchair based on observations of people using integrated sensors
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A map guidance system by multiple dialog robots cooperation
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
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This paper presents a method of selecting the answerer from audiences for a museum guide robot. First, we observed and videotaped scenes when a human guide asks visitors questions in a gallery talk to engage visitors. Based on the interaction analysis, we have found that the human guide selects the appropriate answerer by distributing his/her gaze towards visitors and observing visitors' gaze responses during the pre-question phase. Then, we performed the experiments that a robot distributed its gaze towards visitors to select an answerer and analyzed visitors' responses. From the experiments, we have found that the visitors who are asked questions by the robot feel embarrassed when they have no prior knowledge about the questions and the visitor's gaze before and during the question play an important role to avoid being asked questions. Based on these findings we have developed a function for a guide robot to select the answerer by observing visitors' gaze responses.