Abstract
An eye movement study was conducted to make clear whether different types of 3D TVs would help to relieve visual fatigue after watching films for a long time. 64 undergraduates and ordinary researchers were measured to compare the difference of watching different 3D TVs by Eye-tracking. 64 participants were divided into four groups after being matched, and the four matched groups were separately arranged to watch Switched 3D TV, polarized 3D TV, naked 3D TV and 2D TV. They watched the same video contents which were scenery video and a film, while eye movement data were recorded. The results showed that: (1) with the increase of watching time, participants’ fatigue also increased. The blink frequency, blink counts, blink total duration, saccade angle and saccade velocity of the four group participants who watched different types of 3D TVs remarkably increased in the overall trend with time; (2) There was a remarkable difference between the participants watching polarized 3D TV and others watching 3D TV and 2D TV in average saccade duration, saccade duration peak, average saccade angle and saccade total angle, which might indicate that the principle of polarized 3D TV would affect users’ saccade duration and saccade distance during watching videos. (3) The saccade amplitude of switched 3D TV was significantly higher than that of other three conditions, which might indicate a greater influence of saccade amplitude in switched 3D TV.
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Acknowledgments
The authors would like to gratefully acknowledge the support of the National Key R&D Program of China (2016YFB0401203), and China National Institute of Standardization through the “special funds for the basic R&D undertakings by welfare research institutions” (712016Y-4940, 522016Y-4483, 522015Y-3991). The authors also acknowledge the support of TCL Corporation, too.
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Zhang, Y., Yang, H., Xu, Y., Feng, L. (2018). Comparison of Visual Comfort and Fatigue Between Watching Different Types of 3D TVs as Measured by Eye Tracking. In: Baldwin, C. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-60642-2_16
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DOI: https://doi.org/10.1007/978-3-319-60642-2_16
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