Abstract
Human-robot interaction has played an increasingly significant role in more recent research involving the Theory of Mind (ToM). As the use of robot facilitators increases, questions arise regarding the implications of their involvement in a research setting. This work addresses the effects of a humanoid robot facilitator in a ToM assessment. This paper analyzes subjects’ performances on tasks meant to test ToM as those tasks are delivered by human or robot facilitators. Various modalities of data were collected: performance on ToM tasks, subjects’ perceptions of the robot, results from a ToM survey, and response duration. This paper highlights the effects of human-robot interactions in ToM assessments, which ultimately leads to a discussion on the effectiveness of using robot facilitators in future human-subject research.
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This material is based upon work supported by the National Science Foundation under Award No. IIS-1851591. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Rabe, T., Callis, A., Zheng, Z., Heard, J., Bailey, R., Alm, C. (2022). Theory of Mind Assessment with Human-Human and Human-Robot Interactions. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_41
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