Abstract
In order to solve the problem of the arrangement of user function information on the human eye control interface, this paper adopts the analytic hierarchy process (AHP) to transform the layout constraint content of the human eye control interface into a hierarchical model structure. Then the quantified experimental data are used to solve the optimal solution of eye-controlled interface layout by using genetic algorithm. After this paper takes an eye-control interactive assembly process development platform as an experimental case, uses genetic algorithm to obtain the optimal solution of eye-control interface layout. In order to verify the effectiveness of this method, Tobii eye tracker was used in this paper to conduct eye movement experiments on subjects with mechanical engineering knowledge, the purpose of this method was to collect subjective feelings and eye movement information of subjects when using the eye-control interface. The subjects show higher cognitive efficiency when using the interface generated by genetic algorithm.
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Acknowledgments
This work was partially supported by the Preliminary Research Program of Equipment Development Department of China under Grant No. 61409230103 and Grant No. 41423010402.
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Chen, S., Liu, X. (2021). Optimization of Eye Control Interactive Interface Based on Genetic Algorithm. 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_88
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DOI: https://doi.org/10.1007/978-3-030-79760-7_88
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