arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.07433cs.HCcs.AIcs.CY
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多智能体系统塑造社会规范以促进利他行为改变

Multi-Agent Systems Shape Social Norms for Prosocial Behavior Change

National University of Singapore(新加坡国立大学)

Yibin Feng, Tianqi Song, Yugin Tan, Zicheng Zhu, Yi-Chieh Lee

AI总结:

多智能体系统通过塑造虚拟社会规范促进利他行为改变,实验显示组内智能体更有效提升捐赠意愿和社会规范感知。

摘要:

社会规范干预通常通过强调普遍行为来促进利他行为,但在异质人口中,其效果常受限于缺乏共同的可取行为共识。本研究探讨多智能体系统能否建立“虚拟社会规范”以鼓励捐赠行为。我们进行了一项在线实验,参与者与一组智能体讨论捐赠行为。在讨论前后测量了感知社会规范、从众性、捐赠行为和用户体验。结果显示,多智能体互动有效提高了感知社会规范和捐赠意愿。值得注意的是,组内智能体导致更强的感知社会规范、更高的从众性和更大的捐赠增加,相比组外智能体。我们的发现展示了多智能体系统在创建社会规范干预中的潜力,并提供了关于利用社会身份动态在虚拟环境中促进利他行为的见解。

英文摘要:

Social norm interventions are used promote prosocial behaviors by highlighting prevalent actions, but their effectiveness is often limited in heterogeneous populations where shared understandings of desirable behaviors are lacking. This study explores whether multi-agent systems can establish "virtual social norms" to encourage donation behavior. We conducted an online experiment where participants interacted with a group of agents to discuss donation behaviors. Changes in perceived social norms, conformity, donation behavior, and user experience were measured pre- and postdiscussion. Results show that multi-agent interactions effectively increased perceived social norms and donation willingness. Notably, in-group agents led to stronger perceived social norms, higher conformity, and greater donation increases compared to out-group agents. Our findings demonstrate the potential of multi-agent systems for creating social norm interventions and offer insights into leveraging social identity dynamics to promote prosocial behavior in virtual environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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