Misperception model-based analytic method of visual interface design factors

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Abstract

The unreasonable design of interface information has given rise to malfunctions of cognition and decision-making among operators, thus leading users into a complex cognition and finally resulting in serious failures in information recognition and analysis, and even in operation and execution processes, which poses one of the major causes for many accidents. Firstly, there remains an internal relevance between errors and perception, and five error factors i.e., visual confined, visual interference, visual illusion, attention shift and over attention were extracted from the point of visual attention mechanism; Secondly, the cognitive model (theory) and psychological experimental paradigm corresponding to the cognitive level were combed out through explanation of the error level, thus the misperception model was established; Finally, It provides a feasible basis for design improvement of visual interface through behavior and physiological experimental data. This misperception analysis method of visual interface has applied mature psychological experimental paradigm and can favorably analyze the design factors from the aspect of misperception, so as to play a significant role in improving the visual interface design. © 2014 Springer International Publishing.

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APA

Wu, X., Xue, C., & Feng, Z. (2014). Misperception model-based analytic method of visual interface design factors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8532 LNAI, pp. 284–292). Springer Verlag. https://doi.org/10.1007/978-3-319-07515-0_29

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