Assessing real world imagery in virtual environments for people with cognitive disabilities
Covaci, Alexandra, Kramer, Dean, Augusto, Juan Carlos 
ORCID: https://orcid.org/0000-0002-0321-9150, Rus, Silvia and Braun, Andreas
(2015)
Assessing real world imagery in virtual environments for people with cognitive disabilities.
2015 International Conference on Intelligent Environments (IE).
In: Intelligent Environments 2015, 15-17 Jul 2015, Prague, Czech Republic.
ISBN 9781467366540.
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Abstract
People with cognitive disabilities are often socially excluded. We propose a system based on Virtual and Augmented Reality that has the potential to act as an educational and support tool in everyday tasks for people with cognitive disabilities. Our solution consists of two components: the first that enables users to train for several essential quotidian activities and the second that is meant to offer real time guidance feedback for immediate support. In order to illustrate the functionality of our proposed system, we chose to train and support navigation skills. Thus, we conducted a preliminary study on people with Down Syndrome (DS) based on a navigation task. Our experiment was aimed at evaluating the visual and spatial perception of people with DS when interacting with different elements of our system. We provide a preliminary evaluation that illustrates how people with DS perceive different landmarks and types of visual feedback, in static images and videos. Although we focused our study on people with DS, people with different cognitive disabilities could also benefit from the features of our solution. This analysis is mandatory in the design of a virtual intelligent system with several functionalities that aims at helping disabled people in developing basic knowledge in every day tasks.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Computer Science > Intelligent Environments group |
| Item ID: | 17304 |
| Notes on copyright: | This is the accepted version of an article published by IEEE. © 2015 IEEE. |
| Useful Links: | |
| Depositing User: | Alexandra Covaci |
| Date Deposited: | 23 Jul 2015 09:07 |
| Last Modified: | 29 Nov 2022 22:33 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/17304 |
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