Does the appearance of an agent affect how we perceive his/her voice? Audio-visual predictive processes in human-robot interaction

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buir.contributor.authorSarıgül, Büşra
buir.contributor.authorSaltık, İmge
buir.contributor.authorHokelek, Batuhan
buir.contributor.authorÜrgen, Burcu A.
dc.citation.epage432en_US
dc.citation.spage430en_US
dc.contributor.authorSarıgül, Büşra
dc.contributor.authorSaltık, İmge
dc.contributor.authorHokelek, Batuhan
dc.contributor.authorÜrgen, Burcu A.
dc.coverage.spatialCambridge, UKen_US
dc.date.accessioned2021-01-29T13:34:36Z
dc.date.available2021-01-29T13:34:36Z
dc.date.issued2020
dc.departmentDepartment of Psychologyen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.descriptionConference name: HRI '20: ACM/IEEE International Conference on Human-Robot Interactionen_US
dc.descriptionDate of Conference: , 23–26 March 2020en_US
dc.description.abstractRobots increasingly become part of our lives. How we perceive and predict their behavior has been an important issue in HRI. To address this issue, we adapted a well-established prediction paradigm from cognitive science for HRI. Participants listened a greeting phrase that sounds either human-like or robotic. They indicated whether the voice belongs to a human or a robot as fast as possible with a key press. Each voice was preceded with a human or robot image (a human-like robot or a mechanical robot) to cue the participant about the upcoming voice. The image was either congruent or incongruent with the sound stimulus. Our findings show that people reacted faster to robotic sounds in congruent trials than incongruent trials, suggesting the role of predictive processes in robot perception. In sum, our study provides insights about how robots should be designed, and suggests that designing robots that do not violate our expectations may result in a more efficient interaction between humans and robots.en_US
dc.identifier.doi10.1145/3371382.3378302en_US
dc.identifier.isbn97814503705782003
dc.identifier.urihttp://hdl.handle.net/11693/54962
dc.language.isoEnglishen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.isversionofhttps://doi.org/10.1145/3371382.3378302en_US
dc.source.titleHRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interactionen_US
dc.subjectHumanoid robotsen_US
dc.subjectRobot designen_US
dc.subjectAudio-visual mismatchen_US
dc.subjectPredictionen_US
dc.subjectRobotic voiceen_US
dc.subjectHuman perceptionen_US
dc.subjectCognitive sciencesen_US
dc.titleDoes the appearance of an agent affect how we perceive his/her voice? Audio-visual predictive processes in human-robot interactionen_US
dc.typeConference Paperen_US

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Department of Psychology
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