Mental Transformations in Human-Robot Interaction

Mental Transformations in Human-Robot Interaction
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人机交互中的心理转变

DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
M. Peshkin
M. Peshkin
中科院分区:
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文献类型:
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作者:
B. P. DeJong;J. Colgate;M. Peshkin

文献摘要

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人机界面可能是具有挑战性的和令人厌倦的,因为在控制和视图关系的错位。人类用户必须在精神上转换(例如,旋转或平移)期望的机器人动作到接口处的所需输入。这些心理转变会增加任务难度,降低任务绩效。本章讨论如何通过减少人机界面中的心理转换来提高任务性能。它提出了一个数学框架,回顾了相关背景,分析了单个和多个摄像机显示接口,并提出了一个精神上有效的接口的实现。
Human-robot interfaces can be challenging and tiresome because of misalignments in the control and view relationships. The human user must mentally transform (e.g., rotate or translate) desired robot actions to required inputs at the interface. These mental transformations can increase task difficulty and decrease task performance. This chapter discusses how to improve task performance by decreasing the mental transformations in a human-robot interface. It presents a mathematical framework, reviews relevant background, analyzes both single and multiple camera-display interfaces, and presents the implementation of a mentally efficient interface.