凝视 - 动作合,凝视 - 姿势合以及凝视的外源性吸引力在双向相互作用中
Roy S Hessels1, Peitong Li2, Sofia Balali3
1Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584CS, Utrecht, Netherlands. r.s.hessels@uu.nl.
Attention, perception & psychophysics
|November 18, 2024
概括
在合作过程中人类的目光模式显示了行动和目光之间的密切联系. 凝视-动作合在个人中最强,与伴侣的联系较弱.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 机器人技术 机器人技术 机器人技术
背景情况:
- 视线在人类互动中发挥着至关重要的作用,促进了针对目标的行动的信息获取,了解合作伙伴的行动和多式联络.
- 目光行为现有的模型缺乏全面整合这些多方面的角色.
- 了解眼神模式对于开发有效的人机交互和行动预测模型至关重要.
研究的目的:
- 量化双层协作期间的凝视合模式,包括人内凝视动作,凝视手势和凝视语言.
- 为了研究一个人的目光和他们的合作者的手动动作,手势或言语之间的合.
- 根据自己或伴侣的行为,手势或言语来评估视线位置的可预测性.
主要方法:
- 参与者参与了一个协作式的乐高Duplo模型复制任务.
- 眼神行为与手动动作,手势和言语一起被分析.
- 使用统计模型量化合强度并评估凝视位置推断准确度.
主要成果:
- 在人内凝视-动作合是观察到的最强的模式.
- 在人内,目光与手势的结合是显著的,其次是目光与伴侣的行为之间的结合.
- 只有自动执行的手动操作改善了视线位置推断,与基线相比,收益有限.
结论:
- 凝视-动作合是协作任务中的主要机制,特别是在受约束的,连续的动作中.
- 凝视手势和凝视言语的合可能在不受约束的,对话的或谈判重的协作环境中更为突出.
- 研究结果为眼神行为,动作预测和人机交互的计算模型提供了经验基础.
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