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Research on the Quantitative Method of Cognitive Loading in a Virtual Reality System

Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550003, China
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Information 2019, 10(5), 170; https://doi.org/10.3390/info10050170
Received: 20 March 2019 / Revised: 23 April 2019 / Accepted: 4 May 2019 / Published: 8 May 2019
(This article belongs to the Section Artificial Intelligence)
Aimed at the problem of how to objectively obtain the threshold of a user’s cognitive load in a virtual reality interactive system, a method for user cognitive load quantification based on an eye movement experiment is proposed. Eye movement data were collected in the virtual reality interaction process by using an eye movement instrument. Taking the number of fixation points, the average fixation duration, the average saccade length, and the number of the first mouse clicking fixation points as the independent variables, and the number of backward-looking times and the value of user cognitive load as the dependent variables, a cognitive load evaluation model was established based on the probabilistic neural network. The model was validated by using eye movement data and subjective cognitive load data. The results show that the absolute error and relative mean square error were 6.52%–16.01% and 6.64%–23.21%, respectively. Therefore, the model is feasible. View Full-Text
Keywords: cognitive load; eye movement experiment; virtual reality cognitive load; eye movement experiment; virtual reality
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Lv, J.; Xu, X.; Ding, N. Research on the Quantitative Method of Cognitive Loading in a Virtual Reality System. Information 2019, 10, 170.

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