This study was designed to compare the natural free form communication that takes place when a person interacts with robotic entities versus live animals. One hundred and eleven participants interacted with one of four entities: an AIBO robotic dog, Legobot, Dog or Cat. It was found that participants tended to rate the Dog as more capable than the other entities, and often spoke to it more than the robotic entities. However, participants were not positively biased toward live entities, as the Cat often was thought of and spoken to similarly to the AIBO robot. Results are consistent with a model in which both appearance and interactivity lead to the development of beliefs about a live or robotic entity in an interaction. Keywords: Human-robot interaction; human-animal interaction; AIBO; free form communication; attributions; human-entity interaction
2023. Using the Frith-Happé animations to compare attributions of mental qualities in nonhuman agents. Journal of Cognitive Psychology 35:3 ► pp. 330 ff.
Zhang, Andong & Pei-Luen Patrick Rau
2023. Tools or peers? Impacts of anthropomorphism level and social role on emotional attachment and disclosure tendency towards intelligent agents. Computers in Human Behavior 138 ► pp. 107415 ff.
de Visser, Ewart J., Yigit Topoglu, Shawn Joshi, Frank Krueger, Elizabeth Phillips, Jonathan Gratch, Chad C. Tossell & Hasan Ayaz
2022. Designing Man’s New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance. Sensors 22:3 ► pp. 1287 ff.
Krueger, Frank, Kelsey C. Mitchell, Gopikrishna Deshpande & Jeffrey S. Katz
2021. Human–dog relationships as a working framework for exploring human–robot attachment: a multidisciplinary review. Animal Cognition 24:2 ► pp. 371 ff.
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