How to use non-linguistic utterances to convey emotion in child-robot interaction
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
AffectButton: A method for reliable and valid affective self-report
International Journal of Human-Computer Studies
Situational context directs how people affectively interpret robotic non-linguistic utterances
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Daedalus: a sUAV for human-robot interaction
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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This paper presents an experiment testing whether adults exhibit Categorical Perception when rating non-linguistic utterances, made by a Nao robot, on an affective level. This experiment followed the traditional methodology used in psychology, with some minor alterations. A stimulus continuum was produced and subjects asked to complete a discrimination and a identification task. In the former subjects were asked to rate whether stimulus pairs were affectively different while in the latter they were asked to rate single stimuli affectively using a facial gesture tool. Results present compelling evidence for the presence of Categorical Perception in this particular case.