Simulating Lens Distortion in Virtual Reality
Modern progressive lenses are widely used to allow distance and near-view within one lens. Novice users experience motion sickness during adaptation and have problems performing everyday tasks when first using progressive lenses. To evaluate the effects of progressive lens distortion in psychophysic...
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| FB/Einrichtung: | FB 07: Psychologie und Sportwissenschaft |
| Dokumenttypen: | Artikel |
| Medientypen: | Text |
| Erscheinungsdatum: | 2020 |
| Publikation in MIAMI: | 25.11.2021 |
| Datum der letzten Änderung: | 25.11.2021 |
| Angaben zur Ausgabe: | [Electronic ed.] |
| Quelle: | Stein, N.; Rifai, K.; Wahl, S.; Lappe, M.: Simulating Lens Distortion in Virtual Reality. Proceedings of the 13th International Conference on Disability, Virtual Reality & Associated Technologies, 2020 |
| Schlagwörter: | Virtual Reality; Progressive Lens; Distortion; Visual Perception; Locomotion |
| Fachgebiet (DDC): | 100: Philosophie
150: Psychologie 152: Sinneswahrnehmung, Bewegung, Emotionen, Triebe |
| Lizenz: | InC 1.0 |
| Sprache: | English |
| Förderung: | Förderer: Deutsche Forschungsgemeinschaft / Projektnummer: 274361309 Förderer: European Commission / Projektnummer: 734227 |
| Format: | PDF-Dokument |
| URN: | urn:nbn:de:hbz:6-35079503429 |
| Permalink: | https://nbn-resolving.de/urn:nbn:de:hbz:6-35079503429 |
| Onlinezugriff: | stein_2020_simulating-lens.pdf |
Modern progressive lenses are widely used to allow distance and near-view within one lens. Novice users experience motion sickness during adaptation and have problems performing everyday tasks when first using progressive lenses. To evaluate the effects of progressive lens distortion in psychophysical experiments these need to be simulated in real-time. We present a method to generate the distortion pattern of a progressive lens in virtual reality that allows testing perceptual distortions and behavioural consequences of exposure to such distortions. A user study showed that the heading angle on the horizontal axis was significantly underestimated through implemented distortion.