Paper
21 December 2021 Visual comfort evaluation of table-HUD
Author Affiliations +
Proceedings Volume 12063, AOPC 2021: Display Technology; 120630P (2021) https://doi.org/10.1117/12.2607137
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
As one of display devices, HUD is mostly used for vehicle navigation display. Now the table-HUD for vision protection is proposed. Through a variety of statistical analysis methods, the influence of different display devices, different types of experiments, different experiment sequences and different objective conditions of the subjects has been studied on the experimental results. It's necessary to evaluate the visual perception and visual comfort of the subjects through subjective and objective evaluation methods. In this paper, three groups of experiments are designed, which are video viewing group, character comparison group and visual task group. The statistical analysis tool SPSS was used to process the experimental data, and the experimental results showed that visual fatigue of different display devices increased with the increase of time. Results also showed that table-HUD was less likely to cause visual fatigue than other display terminals. Experiment sequence and the period of the experiment don't have significant influence on the visual perception and visual comfort of the subjects. Compared with the inter-group experiment and the intra-group experiment, in different groups of experiments, the visual fatigue of subjects in character comparison group was the highest, followed by video viewing group.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Feiyan Zhou, Dewen Cheng, Wenrui Shen, and Yongtian Wang "Visual comfort evaluation of table-HUD", Proc. SPIE 12063, AOPC 2021: Display Technology, 120630P (21 December 2021); https://doi.org/10.1117/12.2607137
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KEYWORDS
Visualization

Heads up displays

Video

Visual analytics

Computing systems

Reliability

Statistical analysis

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