Paper
31 January 2020 Depth perception tendencies on a widescreen display: an experimental study
Author Affiliations +
Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332D (2020) https://doi.org/10.1117/12.2559668
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
There are numerous cues which influence human visual attention. Some of the cues cannot be explored by the conventional eye-tracking studies which makes use of a pictorial data presented to the observers on common displays. Depth perception occurs naturally in the real three-dimensional environment and, therefore, the depth cues are one of them. However, the eye-tracking studies in the real environment and their evaluation are complicated to carry out with a relevant number of participants while maintaining the laboratory conditions. We propose an experimental study methodology for exploring the depth perception tendencies during the free-viewing task on a widescreen display in a laboratory. This method is beyond the current hardware capabilities of the static eye-trackers mounted on the displays. Therefore, the eye-tracking glasses were used in the study to measure the attention data. We carried out the proposed study on a sample of 25 participants and created a novel dataset suitable for further visual attention research. The depth perception tendencies on a widescreen display were evaluated from the acquired data and the results were discussed in the context of the previous similar studies. Our results revealed some differences in the depth perception tendencies in comparison to the previous studies with the two-dimensional pictorial data and resembled some depth perception tendencies observed in the real environment.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miroslav Laco, Patrik Polatsek, and Wanda Benesova "Depth perception tendencies on a widescreen display: an experimental study", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332D (31 January 2020); https://doi.org/10.1117/12.2559668
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Video

Glasses

Calibration

Data acquisition

Image processing

Signal processing

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