视线过渡作为衡量动态工作空间中注意力分配的度量,涉及自动化
Zixin Cui1, Tetsuya Sato2, Austin Jackson2
1University of Tsukuba, Tsukuba, Japan.
Scientific reports
|October 8, 2024
概括
凝视过渡分析揭示了操作员在复杂任务中注意力如何转移. 这种方法比传统措施更好地捕捉动态注意力分配,提供了对自动化环境中操作员性能的见解.
科学领域:
- 人与计算机的交互
- 认知心理学 认知心理学
- 系统工程 系统工程
背景情况:
- 现实世界的任务需要由自动化系统支持的持续操作员注意力.
- 传统的眼动测量方法,如停留时间,无法捕捉动态的注意力转移.
- 了解操作员的注意力对于设计有效的人与系统的协作至关重要.
研究的目的:
- 在多任务环境中使用凝视过渡分析眼动数据.
- 评估凝视过渡在反映动态注意力分配方面的有效性.
- 为了比较视线过渡与传统的注意力度量.
主要方法:
- 在受控环境 (MATB-II) 中同时执行多个任务的人类实验对象的眼动数据收集.
- 应用了凝视过渡和静止凝视分析来量化眼睛运动中的随机性.
- 与任务需求相关的度,特别是补偿追踪.
主要成果:
- 视线过渡和静止视线随着补偿追踪任务需求的增加而减少.
- 这些度反映了眼睛运动随机性的变化.
- 这些发现表明,视线和操作员注意力分配之间存在联系.
结论:
- 凝视过渡是动态任务期间操作员注意力分配的敏感度量.
- 这种分析方法提供了比传统指标更细致的注意力动态理解.
- 这些结果对在复杂的工作环境中设计和评估人机交互具有重要意义.
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