Personality Perception of Robot Avatar Teleoperators in Solo and Dyadic Tasks
Frontiers in Robotics and AI
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Bremner, P., Celiktutan, O., & Gunes, H. (2017). Personality Perception of Robot Avatar Teleoperators in Solo and Dyadic Tasks. Frontiers in Robotics and AI, 4 (16) https://doi.org/10.3389/frobt.2017.00016
Humanoid robot avatars are a potential new telecommunication tool, whereby a user is remotely represented by a robot that replicates their arm, head, and possible face movements. They have been shown to have a number of benefits over more traditional media such as phones or video calls. However, using a teleoperated humanoid as a communication medium inherently changes the appearance of the operator, and appearance-based stereotypes are used in interpersonal judgments (whether consciously or unconsciously). One such judgment that plays a key role in how people interact is personality. Hence, we have been motivated to investigate if and how using a robot avatar alters the perceived personality of teleoperators. To do so, we carried out two studies where participants performed 3 communication tasks, solo in study one and dyadic in study two, and were recorded on video both with and without robot mediation. Judges recruited using online crowdsourcing services then made personality judgments of the participants in the video clips. We observed that judges were able to make internally consistent trait judgments in both communication conditions. However, judge agreement was affected by robot mediation, although which traits were affected was highly task dependent. Our most important finding was that in dyadic tasks personality trait perception was shifted to incorporate cues relating to the robot’s appearance when it was used to communicate. Our findings have important implications for telepresence robot design and personality expression in autonomous robots.
telepresence, Big Five personality traits, personality perception
This work was funded by the EPSRC under its IDEAS Factory Sandpits call on Digital Personhood (Grant Ref: EP/L00416X/1).
Engineering and Physical Sciences Research Council (EP/L00416X/1)
External DOI: https://doi.org/10.3389/frobt.2017.00016
This record's URL: https://www.repository.cam.ac.uk/handle/1810/266512
Attribution 4.0 International, Attribution 4.0 International
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