社会存在对合作社对算法信任的影响
Baptist Liefooghe1, Ebelien Min2, Henk Aarts2
1Utrecht University, Utrecht, The Netherlands. b.liefooghe@uu.nl.
Scientific reports
|October 14, 2023
概括
人们在网上与他人合作更多,而不是与算法合作. 然而,在线存在的另一个人增加了对算法进行游戏时的信任和合作.
科学领域:
- 行为经济学是一种行为经济学.
- 人与计算机的交互
- 社会心理学 社会心理学
背景情况:
- 算法越来越多地被整合到社会过程中.
- 以前的研究表明,当个人认为他们在信任游戏中与算法互动时,合作减少.
- 信任受上下文因素的影响,社会存在已知可以增强合作.
研究的目的:
- 调查社交存在是否会影响与算法交互时的合作信任.
- 为了确定是否存在另一个人减轻了通常与算法合作伙伴观察到的合作减少.
主要方法:
- 在线信任游戏实验与三组参与者进行.
- 第1组:在线玩对一个被认为是人类对手的游戏.
- 第二组:与预先编程的算法进行了比赛.
- 第三组:与在线存在的另一个人对抗算法.
主要成果:
- 第1组的参与者表现出比第2组的参与者要多得多的合作反应,重复了先前的发现.
- 与1组 (人类) 和3组 (具有社交存在的算法) 相比,在2组 (仅算法) 的合作信任随着时间的推移而下降.
- 另一个人的存在 (3组) 似乎减轻了通常与算法交互相关的不信任.
结论:
- 社交存在可以积极影响合作信任,即使在与算法互动时也是如此.
- 这些发现表明,类似人类的上下文线索可以减少"算法厌恶"效应.
- 需要进一步研究人类与算法交互中社会存在的潜在认知机制.
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