The Benefits of Prosociality towards AI Agents: Examining the Effects of Helping AI Agents on Human Well-Being

要旨

Prosocial behaviors, such as helping others, are well-known to enhance human well-being. While there is a growing trend of humans helping AI agents, it remains unclear whether the well-being benefits of helping others extend to interactions with non-human entities. To address this, we conducted an experiment (N = 295) to explore how helping AI agents impacts human well-being, especially when the agents fulfill human basic psychological needs—relatedness, competence, and autonomy—during the interaction. Our findings showed that helping AI agents reduced participants' feelings of loneliness. When AI met participants’ needs for competence and autonomy during the helping process, there was a further decrease in loneliness and an increase in positive affect. However, when AI did not meet participants' need for relatedness, participants experienced an increase in positive affect. We discuss the implications of these findings for understanding how AI can support human well-being.

受賞
Best Paper
著者
Zicheng Zhu
National University of Singapore, Singapore, Singapore
Yugin Tan
National University of Singapore, Singapore, Singapore
Naomi Yamashita
Kyoto University, Kyoto, Japan
YI-CHIEH LEE
National University of Singapore, Singapore, Singapore
Renwen Zhang
National University of Singapore, Singapore, Singapore
DOI

10.1145/3706598.3713116

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713116

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Mental and Emotional Wellbeing

G302
7 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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