关于机器人信号和人类信号的社会期望的差异
Lorenzo Parenti1,2, Marwen Belkaid1,3, Agnieszka Wykowska1
1Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia (IIT).
Cognitive science
|December 22, 2023
概括
机器人的社交线索和反显著影响人类决策. 机器人发出的不一致的信号,如与正反配对的无效线索,会减缓人类任务的执行速度,影响人机交互.
科学领域:
- 人与计算机的互动.
- 认知心理学 认知心理学
- 社会机器人社会机器人
背景情况:
- 决策往往发生在社会互动中,受到沟通信号的影响.
- 人类与机器人等人工代理的互动正在增加.
- 了解非人类代理人的社会信号如何影响人类的选择至关重要.
研究的目的:
- 研究机器人的非语言沟通行为对人类决策的影响.
- 检查机器人线索和反如何影响社会背景下的选择.
主要方法:
- 一个两种替代选择的"贝游戏"任务被调整.
- 参与者与机器人化身一起做出决定,提供决策前线索和决策后反.
- 机器人的线索 (指向) 和反 (指向上/没有) 被操纵.
主要成果:
- 当机器人线索无效,反是积极的时,参与者速度更慢.
- 这一业绩下降归因于违反预期的不一致信号.
- 决策前后信号之间的不一致性显著影响了任务执行.
结论:
- 机器人的社会信号,特别是当不一致时,显著影响人类的决策和任务执行.
- 了解用户对社交机器人的期望对于有效的人机交互至关重要.
- 这项研究强调了在人机协作中持续的非语言沟通的重要性.
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