Busra Sarigul
ABSTRACT
Robots 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.
- A. Clark (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36 (3), 181--204Google Scholar
Cross Ref
- O. Doehrmann, & M.J. Naumer (2008). Semantics and the multisensory brain: how meaning modulates processes of audio-visual integration. Brain research, 1242, 136--150Google Scholar
- C. Nass (2015). Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship. MIT Press, Cambridge, MA.Google Scholar
- S.E. Stern, J.W. Mullennix, I. Yaroslavsky (2006). Persuasion and social perception of human vs. synthetic voice across person as source and computer as source conditions. International Journal of Human-Computer Interaction, 64, 43--52.Google ScholarDigital Library
- M.L. Walters, D.D. Dyrdal, K.L. Koay, K. Dautenhahn, R. te Boeckhorst (2008). Human approach distances to a mechanical-looking robot with different voice styles. Proceedings of RO-MAN, Munich, Germany.Google ScholarCross Ref
- K. Zibrek, E. Kokkinara, R. Mcdonnell (2018). The effect of realistic appearance of virtual characters in immersive environments -- Does the character's personality play a role? IEEE Transactions on Visualization and Computer Graphics, 24 (4), 1681--1690.Google ScholarDigital Library
- C. Mousas, D. Anastasiou, O. Spantidi (2018). The effects of appearance and motion of virtual characters on emotional reactivity. Computers in Human Behavior, 86, 99--108.Google ScholarCross Ref
- Mori, M., MacDorman, K. F., & Kageki, N. (2012). The uncanny valley [from the field]. IEEE Robotics & Automation Magazine, 19(2), 98--100.Google ScholarCross Ref
- B.A. Urgen, M. Kutas, A.P. Saygin (2018). Uncanny valley as a window into predictive processing in the social brain. Neuropsychologia, 114, 181--185Google ScholarCross Ref
- W.J. Mitchell, K.A. Szerszen, A.S. Lu, P.W. Schermerhorn, M. Scheutz, K.F.Macdorman (2011). A mismatch in the human realism of face and voice produces an uncanny valley. Iperception, 2 (1), 10--12.Google ScholarCross Ref
- A.P. Saygin, T.Chaminade, H.Ishiguro, J.Driver, C.Frith (2012). The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions. Social Cognitive Affective Neuroscience, 7, 413--422.Google ScholarCross Ref
- B.A. Urgen, M. Plank, H. Ishiguro, H.Poizner, A.P.Saygin (2013). EEG theta and mu oscillations during perception of human and robot actions. Frontiers in Neurorobotics, 7:19.Google ScholarCross Ref
- B.A. Urgen, S.Pehlivan, A.P.Saygin (2019). Distinct representations in occipito-temporal, parietal, and premotor cortex during action perception revealed by fMRI and computational modeling. Neuropsychologia, 127, 35--47.Google ScholarCross Ref
- F.P. de Lange, M. Heilbron, P. Kok (2018). How do expectations shape perception? Trends in Cognitive Sciences, 22 (9), 764--779.Google ScholarCross Ref
Index Terms
- 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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