From seduction to fulfillment: the use of anthropomorphic form in design
DPPI '03 Proceedings of the 2003 international conference on Designing pleasurable products and interfaces
Shaping human-robot interaction: understanding the social aspects of intelligent robotic products
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Young researchers' views on the current and future state of HRI
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Precision timing in human-robot interaction: coordination of head movement and utterance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Seeing like a rover": embodied experience on the mars exploration rover mission
CHI '08 Extended Abstracts on Human Factors in Computing Systems
I'm sorry, Dave: i'm afraid i won't do that: social aspects of human-agent conflict
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Critic, compatriot, or chump?: responses to robot blame attribution
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Perceptual analysis of talking avatar head movements: a quantitative perspective
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Engaging robots: easing complex human-robot teamwork using backchanneling
Proceedings of the 2013 conference on Computer supported cooperative work
Dimensions of anthropomorphism: from humanness to humanlikeness
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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This paper examines human perceptions of humanoid robot behavior, specifically how perception is affected by variations in head tracking behavior under constant gestural behavior. Subjects were invited to the lab to "play with Nico," an upper-torso humanoid robot. The follow-up survey asked subjects to rate and write about the experience. A coding scheme originally created to gauge human intentionality was applied to written responses to measure the level of intentionality that subjects perceived in the robot. Subjects were presented with one of four variations of head movement: a motionless head, a smooth tracking head, a tracking head without smoothed movements, and an avoidance behavior, while a pre-scripted wave and beckon sequence was carried out in all cases. Surprisingly, subjects rated the interaction as most enjoyable and Nico as possessing more intentionality when avoidance and unsmooth tracking were used. These data suggest that naïve users of robots may prefer caricatured and exaggerated behaviors to more natural ones. Also, correlations between ratings across modes suggest that simple features of robot behavior reliably evoke notable changes in many perception scales.