Research on assessment of eye movement sensitivity index through aircraft cockpit man- machine interface based on eye movement tracking technology

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Abstract

It aims at finding sensitivity index of the eye tracker in the evaluation of aircraft cabin static human- machine interface usability, and sets up the model of static eye movement test data. Method: based on the typical aircraft cockpit display interface, two groups of subjects have been set up with different difficulty, participants are required to find the corresponding position in the original image according to the given target image in the shortest time. Eye movement data of 40 participants, who take part in the tests with different degree of difficulty, has been used for paired T test; factor analysis has been done to eye movement indicators of statistical significance to T inspection results. Results are in the commonly used 25 eye movement indicators, there are 17 indexes with significant difference and P < 0. 05. Results of factor analysis show there are five indicators with single factor contribution greater than 1; 5 indicators’ cumulative contribution rate is 87.75%. The first main components have been extracted, namely the index directly related to performance of the eye movement, including seven factors: Fixation points, total saccade time, spent time in AOI, total fixation duration, number of fixation points before arrival AOI, duration before first fixation arrival, total saccade distance. The sensitivity indicators: Number of fixation points before arrival AOI. The second main components of the pupil- related indicators include four factors: Average pupil area, average pupil diameter, average pupil diameter in AOI, average pupil area in AOI. The sensitivity indicators: Average pupil area in AOI. The third main components of the first eye movement indicators include three factors: First saccade distance, first saccade speed, and first fixation duration. The sensitivity indicators: First saccade distance. The fourth main components of the AOI eye movement index include two factors. The fifth main components include one factor: Average fixation duration in AOI.

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Wang, Y., Liu, Q., Xiong, D., Guo, X., Bai, Y., Du, J., & Xiao, H. (2015). Research on assessment of eye movement sensitivity index through aircraft cockpit man- machine interface based on eye movement tracking technology. In Lecture Notes in Electrical Engineering (Vol. 356, pp. 495–505). Springer Verlag. https://doi.org/10.1007/978-3-662-48224-7_58

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