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A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings
- Source :
- The Visual Computer. 34:911-923
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- In workplaces or publicly accessible buildings, escape routes are signposted according to official norms or international standards that specify distances, angles and areas of interest for the positioning of escape-route signs. In homes for the elderly, in which the residents commonly have degraded mobility and suffer from vision impairments caused by age or eye diseases, the specifications of current norms and standards may be insufficient. Quantifying the effect of symptoms of vision impairments like reduced visual acuity on recognition distances is challenging, as it is cumbersome to find a large number of user study participants who suffer from exactly the same form of vision impairments. Hence, we propose a new methodology for such user studies: By conducting a user study in virtual reality (VR), we are able to use participants with normal or corrected sight and simulate vision impairments graphically. The use of standardized medical eyesight tests in VR allows us to calibrate the visual acuity of all our participants to the same level, taking their respective visual acuity into account. Since we primarily focus on homes for the elderly, we accounted for their often limited mobility by implementing a wheelchair simulation for our VR application.
- Subjects :
- Focus (computing)
Visual acuity
genetic structures
Computer science
05 social sciences
020207 software engineering
02 engineering and technology
Virtual reality
Computer Graphics and Computer-Aided Design
eye diseases
User studies
Computer graphics
Sight
Wheelchair
Human–computer interaction
0202 electrical engineering, electronic engineering, information engineering
medicine
0501 psychology and cognitive sciences
Computer Vision and Pattern Recognition
medicine.symptom
Limited mobility
050107 human factors
Software
Subjects
Details
- ISSN :
- 14322315 and 01782789
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- The Visual Computer
- Accession number :
- edsair.doi...........b22f0c204974b559209a5257f2b1f1d6
- Full Text :
- https://doi.org/10.1007/s00371-018-1517-7