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• W3184937535 startingPage "1461" @default.
• W3184937535 abstract "In this article, we analyze the performance of an agent developed according to a well-accepted appraisal theory of human emotion with respect to how it modulates play in the context of a social dilemma. We ask if the agent will be capable of generating interactions that are considered to be more human-like than machine-like. We conducted an experiment with 117 participants and show how participants rated our agent on dimensions of human-uniqueness (separating humans from animals) and human-nature (separating humans from machines). We show that our appraisal theoretic agent is perceived to be more human-like than the baseline models, by significantly improving both human-nature and human-uniqueness aspects of the intelligent agent. We also show that perception of humanness positively affects enjoyment and cooperation in the social dilemma, and discuss consequences for the task duration recall." @default.
• W3184937535 created "2021-08-02" @default.
• W3184937535 creator A5019000422 @default.
• W3184937535 creator A5071941660 @default.
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• W3184937535 date "2023-04-01" @default.
• W3184937535 modified "2023-09-23" @default.
• W3184937535 title "Improving Humanness of Virtual Agents and Users’ Cooperation Through Emotions" @default.
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• W3184937535 doi "https://doi.org/10.1109/taffc.2021.3096831" @default.
• W3184937535 hasPublicationYear "2023" @default.
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