Abstract
Fitts proposed the Fitts Law, a human motion behavior prediction model based on information theory, which established the functional relationship between motion time, motion amplitude and target area width, and became one of the few quantitative models in the field of human-computer interaction. However, the parameters related to devices of a and b need to be tested in combination with specific population and devices. Based on the hardware equipment such as mouse and eye tracker, this paper carried out the experimental design and implementation of interactive motion data collection for command and control system operators, and collected data of 20 people in total. The analysis of experimental data shows that the average value of 20 person-times is: a = 160.7, b = 227. The above research not only improves Fitts Law in the field of command and control system, but also provides a quantitative model targeted at specific groups for later cognitive and behavioral modeling of operators and human-machine interface design.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 71701205) and National Defence Pre-research Foundation (No. 41412040304).
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Li, N., Zhou, Y., Zhang, B., Liu, Q., Huang, J., Feng, Y. (2020). Research on the Parameters of Human - Machine Interaction of Command and Control System Operator Based on Fitts Law. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1207. Springer, Cham. https://doi.org/10.1007/978-3-030-51369-6_53
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DOI: https://doi.org/10.1007/978-3-030-51369-6_53
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