Abstract
This paper studies and analyses theoretically the layout, text and color of the human-computer interface design of intelligent spinning factory Monitoring system. At the same time, eye movement physiological experiments are conducted to evaluate the size, shape and spacing of the card interactive elements in the interface. The research results will provide a new human-machine interface design scheme for the large intelligent spinning factory, so that the users can improve their work efficiency and adapt to the development of spinning industry in the new era.
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Zhang, L., Ma, G., Zhou, J., Jia, F. (2021). Human-Computer Interface Design of Intelligent Spinning Factory Monitoring System Based on Eye Tracking Technology. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_69
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DOI: https://doi.org/10.1007/978-3-030-80091-8_69
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