Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot

Abstract : This paper sets out to examine how elicited physiological affect influences the performance of human participants collaborating with the robot partners on a shared serious game task; furthermore, to investigate physiological affect underlying such human-robot proximate collaboration. The participants collaboratively played a turn-taking version of a serious game Tower of Hanoi, where physiological affect was investigated in a valence-arousal space. The arousal was inferred from the galvanic skin response data, while the valence was inferred from the electrocardiography data. It was found that the robot collaborators elicited a higher physiological affect in regard to both arousal and valence, in contrast to their human collaborator counterparts. Furthermore, a comparable performance between all collaborators was found on the serious game task.
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Petar Jerčić, Johan Hagelbäck, Craig Lindley. Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot. 17th International Conference on Entertainment Computing (ICEC), Sep 2018, Poznan, Poland. pp.127-138, ⟨10.1007/978-3-319-99426-0_11⟩. ⟨hal-02128637⟩

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