Abstract
In this paper, the effectiveness of human-computer interaction interface design was analysed. Under the background of intelligent manufacturing 2025, the spinning industry urgently needs to realize intelligence. A good user interface can better adapt to users’ requirement. For the application scenarios of quality monitoring of the spinning production line, the monitoring interface of the spinning machine was studied, and two schemes were proposed. To compare the two proposed interfaces, usability evaluations based on eye tracking were conducted. A series of experimental verifications such as questionnaire and task model comparison experiments were conducted. The conclusion was obtained through SPSS analysis data. Through a series of experimental verifications, the experimental results verify the effectiveness of the improved design. This research paradigm can provide a reference for the improved design of the interface.
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Zhou, J., Zhang, L., Jia, F. (2021). Improvement of Spinning Machine Monitoring Interface Based on Eye Tracking Experiment. In: Rebelo, F. (eds) Advances in Ergonomics in Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-79760-7_29
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DOI: https://doi.org/10.1007/978-3-030-79760-7_29
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