JSAI2024

Presentation information

Organized Session

Organized Session » OS-9

[2L4-OS-9b] OS-9

Wed. May 29, 2024 1:30 PM - 3:10 PM Room L (Room 52)

オーガナイザ:熊野 史朗(NTT コミュニケーション科学基礎研究所)、日永田 智絵(奈良先端科学技術大学院大学)、森田 純哉(静岡大学)、菅谷 みどり(芝浦工業大学)、鈴木 健嗣(筑波大学)

1:50 PM - 2:10 PM

[2L4-OS-9b-02] Expressive expressions of agents that make people exploitative

〇Ryoya Ito1, Celso M. de Melo2, Jonathan Gratch3, Kazunori Terada1 (1. Gifu University, 2. DEVCOM U.S. Army Research Laboratory, 3. Institute for Creative Technologies, University of Southern California)

Keywords:Agent, Prisoner's Dilemma, Emotion

Although AI is just a machine, it is known that people often anthropomorphize it and adopt a cooperative attitude. On the other hand, the factors and signals that make people exploitative toward AI are unknown. In this study, we measured whether people choose to cooperate with an AI that expresses self-deprecating, martyr-like, and individualistic facial expression patterns calculated by social value orientation in an iterated prisoner's dilemma. Experimental participants (n=379) were asked to choose 3 (expression patterns: Sad-Joy (masochism-martyrdom), Joy-Anger (individualism), Neutral-Neutral (neutral)) × 3 (opponents: Male, Female, Robot) We played a Prisoner's Dilemma game reconstructed as an investment game with an inter-participant factor. The results of the experiment showed that the AI exploited martyr-like facial expression patterns. This result suggests that human exploitability can be controlled by signaling.

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