Blind in a virtual world: Mobility-training virtual reality games for users who are blind

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

One of the main challenges facing the practical utilization of new assistive technology for the blind is the process of training. This is true both for mastering the device and even more importantly for learning to use it in specific environments. Such training usually requires external help which is not always available, can be costly, and attempts to navigate without such preparation can be dangerous. Here we will demonstrate several games which were developed in our lab as part of the training programs for the EyeCane, which augments the traditional White-Cane with additional distance and angles. These games avoid the above-mentioned problems of availability, cost and safety and additionally utilize gamification techniques to boost the training process. Visitors to the demonstration will use these devices to perform simple in-game virtual tasks such as finding the exit from a room or avoiding obstacles while wearing blindfolds.

Original languageEnglish
Title of host publication2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings
EditorsJ. Edward Swan, Anatole Lecuyer, Tobias Hollerer, Victoria Interrante
PublisherInstitute of Electrical and Electronics Engineers
Pages341-342
Number of pages2
ISBN (Electronic)9781479917273
DOIs
StatePublished - 25 Aug 2015
Externally publishedYes
EventIEEE Virtual Reality Conference, VR 2015 - Arles, France
Duration: 23 Mar 201527 Mar 2015

Publication series

Name2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings

Conference

ConferenceIEEE Virtual Reality Conference, VR 2015
Country/TerritoryFrance
CityArles
Period23/03/1527/03/15

Keywords

  • Sensory substitution
  • Universal access
  • Virtual reality
  • blind
  • navigation
  • scene recognition assistive technology

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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