five

Interplay between algorithm aversion and betrayal aversion study 2

收藏
DataCite Commons2026-03-02 更新2025-04-16 收录
下载链接:
https://osf.io/fpt2n/
下载链接
链接失效反馈
官方服务:
资源简介:
Study 2 aims to validate the findings of Study 1 among Western cultures. Participants play trust games with either a Human or an AI counterpart as a trustor, while the counterpart's decisions are done intentionally (algorithmically) or randomly. All participants also make decisions in lottary games which have a comparative pay-off structure with the trust games. Study 1: Hisashi Takagi, Yang Li, Masashi Komori and Kazunori Terada (2024) Measuring Algorithm Aversion and Betrayal Aversion to Humans and AI using Trust Games, Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2024),

研究2旨在验证研究1的结果在西方文化群体中的适用性。参与者作为信任者,与人类或AI对手进行信任博弈(Trust Games),而对手的决策要么是有意的(算法驱动),要么是随机的。所有参与者还需在彩票博弈(lottery games)中做出决策,该博弈与信任博弈具有可比的收益结构。 研究1:Hisashi Takagi、Yang Li、Masashi Komori与Kazunori Terada(2024)《通过信任博弈(Trust Games)测量对人类与AI的算法厌恶(Algorithm Aversion)及背叛厌恶(Betrayal Aversion)》,第33届IEEE机器人与人类交互通信国际会议(RO-MAN2024)论文集,
提供机构:
OSF Registries
创建时间:
2024-12-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作