Using virtual reality to teach special populations how to cope in crisis: the case of a virtual earthquake

Tarnanas, Ioannis; Manos, George C. (2001). Using virtual reality to teach special populations how to cope in crisis: the case of a virtual earthquake. Studies in health technology and informatics, 81, pp. 495-501. IOS Press 10.3233/978-1-60750-925-7-495

Full text not available from this repository. (Request a copy)

The unique characteristics of special populations such as pre-school children and Down syndrome kids in crisis and their distorted self-image were never studied before, because of the difficulty of crisis reproduction. This study proposes a VR setting that tries to model some special population's behaviour in the time of crises and offers them a training scenario. The sample population consisted of 30 pre-school children and 20 children with Down syndrome. The VR setting involved a high-speed PC, a VPL EyePhone 1, a MR toolkit, a vibrations plate, a motion capture system and other sensors. The system measured and modelled the typical behaviour of these special populations in a Virtual Earthquake scenario with sight and sound and calculated a VR anthropomorphic model that reproduced their behaviour and emotional state. Afterwards one group received an emotionally enhanced VR self-image as feedback for their training, one group received a plain VR self-image and another group received verbal instructions. The findings strongly suggest that the training was a lot more biased by the emotionally enhanced VR self-image than the other approaches. These findings could highlight the special role of the self-image to therapy and training and the interesting role of imagination to emotions, motives and learning. Further studies could be done with various scenarios in order to measure the best-biased behaviour and establish the most natural and affective VR model. This presentation is going to highlight the main findings and some theories behind them.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

UniBE Contributor:

Tarnanas, Ioannis

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

0926-9630

Publisher:

IOS Press

Submitter:

Ioannis Tarnanas

Date Deposited:

25 Aug 2014 14:41

Last Modified:

25 Aug 2014 14:41

Publisher DOI:

10.3233/978-1-60750-925-7-495

PubMed ID:

11317797

URI:

https://boris.unibe.ch/id/eprint/47758

Actions (login required)

Edit item Edit item
Provide Feedback