Ms. Linda Krauze Profile

Linda Krauze

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Proceedings Article | 28 March 2021 Presentation + Paper

Binocular function measures as predictors of user performance in stereoscopic augmented reality

Tatjana Pladere, Artis Luguzis, Roberts Zabels, Rendijs Smukulis, Viktorija Barkovska, Linda Krauze, Vita Konosonoka, Aiga Svede, Gunta Krumina

Proceedings Volume 11765, 117650T (2021) https://doi.org/10.1117/12.2591934

KEYWORDS: Augmented reality, Visualization, Tolerancing, Visual system, Head-mounted displays

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Inconsistency between the binocular and focus cues in stereoscopic augmented reality overburdens the visual system leading to its stress. However, a high individual variability of tolerance for visual stress makes it difficult to predict and generalize the user gain associated with the implementation of alternative visualization technologies. In this study, we investigated the relationship between the binocular function and perceptual judgments in augmented reality. We assessed the task completion time and accuracy of perceptual distance matching depending on the consistency of binocular and focus cues in the stereoscopic environment of augmented reality. The head-mounted display was driven in two modes: multifocal and monofocal mode, providing consistent-cues and inconsistent-cues condition, respectively. Participants matched the distance of a real object with images displayed at three viewing distances (concordant with distances of display focal planes in the consistent-cues condition). A thorough vision screening was performed before the experiment. As a result, individuals with low convergent fusional reserves and receded near point of convergence misjudged distances to a higher extent in comparison to others in the inconsistent-cues condition. In contrast, perceptual judgments were fast and less overestimated, as well as no significant effect of binocular function was revealed in the consistent-cues condition. We suggest that the binocular function measures characterizing individual tolerance for visual stress might be used as the predictors of user gain in the comparative assessment of new visualization technologies for the augmentation of reality.

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