个人认可在塑造对代理人的同情和信任方面的作用
Takahiro Tsumura1, Seiji Yamada2,3
1Faculty of Information Networking for Innovation and Design, Toyo University, Tokyo, Japan.
PloS one
|July 7, 2025
概括
即使存在多个代理商,一个有用的人工智能 (AI) 或机器人代理商也会显著提高人类的信任和同理心. 这种积极的印象扩展到其他代理商,促进社会更广泛地接受人工智能.
科学领域:
- 人与计算机的交互
- 社会机器人社会机器人社会机器人
- 人工智能伦理学 人工智能伦理学
背景情况:
- 互惠是影响人与代理互动的关键社会原则.
- 涉及多个代理人的协作任务由于不同的能力而带来挑战.
- 了解一个代理人的帮助如何影响其他代理人的看法对于AI集成至关重要.
研究的目的:
- 调查个人是否在多个代理任务中对助理代理产生更大的同情心和信任.
- 确定对一个有帮助的代理人的积极印象是否会对其他非有帮助的代理人进行概括.
- 检查视觉区分 (颜色编码) 在区分剂中的作用.
主要方法:
- 设计了一个共享的打字任务,一个代理在时间限制下完成剩余的工作.
- 参与者 (N=392) 在场景中与颜色编码的药物相互作用,以测试视觉差异化.
- 测量了信任和同情程度,以评估代理人的支持行为的影响.
主要成果:
- 单个代理人的支持行为显著提高了参与者的信任和同情心.
- 参与者没有根据视觉线索 (颜色编码) 单独强烈区分代理.
- 对帮助剂的积极印象扩展到视觉上相似的,非帮助剂.
结论:
- 一个有用的代理可以促进更广泛的接受和AI代理人的积极评价.
- 援助的积极影响超越了个体代理的差异化,影响了整个代理的感知.
- 研究结果支持人工智能代理人融入社会,强调了感知到的帮助的好处.
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