Abstract
Visual channel is a very import input for human recognition during complex tasks. The critical challenge is to tell exactly how well the visual capability of a subjects in real time dynamically. In this research, we assume that the visual capability of a subject varies according to the real task situation, and that the performance of the subject on the task is a very important measurement for estimation of the visual capability of the subject. We use the motor action pattern as the indicator to investigate the level of visual capability of the subjects in relation to the characteristics of the visual information, the nature of the task and state of the subject in a simulated task environment. The research found there was a strong indication that variation of the visual capability was related to the nature of the task and the state of the subject. The motor action pattern was good indicator for visual capability.
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Lu, Y., Ding, L., Fu, S. (2019). Visual Capability Estimation Using Motor Action Pattern. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2018. Advances in Intelligent Systems and Computing, vol 781. Springer, Cham. https://doi.org/10.1007/978-3-319-94334-3_4
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DOI: https://doi.org/10.1007/978-3-319-94334-3_4
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