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Concordance between Task and Interface Rotational and Translational Control Improves Ground Vehicle Performance

机译:任务与界面的旋转和平移控制之间的一致性提高了地面车辆的性能

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摘要

Research in various areas of human-system interaction suggests the importance of examining the similarities and dissimilarities between tasks and the interfaces used to complete them. Specifically, the theory of cognitive fit suggests that human problem solvers will perform better when the data and data displays they use to complete a task match some characteristic of that task. An experiment was performed that extends the theory of cognitive fit to the realm of human performance on motor tasks. Participants completed several virtual vehicle control motor tasks that consisted of rotational and translational control components. The tasks were performed with user interfaces that either combined or separated rotational and translational control. The tasks were of two types: control of either rotation or translation changes but not both concurrently, or simultaneous control of combined rotation and translation changes. The results indicate that task performance was better when the characteristics of the interface matched the characteristics of the task. Actual or potential applications of this research include constructing ground vehicle interface controls that are designed specifically based on the characteristics of the task for which they are to be used, such as primarily driving fast and in a straight line (e.g., on a highway) versus primarily driving slowly with much turning (e.g., on a city street).
机译:在人机交互的各个领域的研究表明,检查任务和完成任务的接口之间的相似性和相异性的重要性。具体而言,认知适应理论表明,当人类问题解决者用来完成任务的数据和数据显示与该任务的某些特征相匹配时,他们的表现会更好。进行了一项实验,将认知适应理论扩展到了人类在运动任务上的表现领域。参与者完成了几项虚拟的汽车控制电机任务,这些任务由旋转和平移控制组件组成。使用组合或分离旋转和平移控制的用户界面执行任务。任务有两种类型:控制旋转或平移更改,但不能同时控制,或同时控制旋转和平移组合更改。结果表明,当界面的特征与任务的特征相匹配时,任务性能会更好。这项研究的实际或潜在应用包括构建地面车辆接口控件,该控件是根据要使用的地面任务界面的特性而专门设计的,例如主要是快速行驶和直线行驶(例如在高速公路上)主要在缓慢转弯的情况下缓慢行驶(例如,在城市街道上)。

著录项

  • 来源
    《Human Factors》 |2002年第4期|p.644-653|共10页
  • 作者

    Paul A. Beckman;

  • 作者单位

    Department of Information Systems and Business Analysis, San Francisco State University, 1600 Holloway St., San Francisco, CA 94132;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-18 02:19:44

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