The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Analysis of assets for virtual reality applications in neuropsychology
Abstract
Virtual reality (VR) technology offers new opportunities for the development of innovative neuropsychological assessment and rehabilitation tools. VR-based testing and training scenarios that would be difficult, if not impossible, to deliver using conventional neuropsychological methods are now being developed that take advantage of the assets available with VR technology. If empirical studies continue to demonstrate effectiveness, virtual environment applications could provide new options for targeting cognitive and functional impairments due to traumatic brain injury, neurological disorders, and learning disabilities. This article focuses on specifying the assets that are available with VR for neuropsychological applications along with discussion of current VR-based research that serves to illustrate each asset. VR allows for the precise presentation and control of dynamic multi-sensory 3D stimulus environments, as well as providing advanced methods for recording behavioural responses. This serves as the basis for a diverse set of VR assets for neuropsychological approaches that are detailed in this article. We take the position that when combining these assets within the context of functionally relevant, ecologically valid virtual environments, fundamental advancements can emerge in how human cognition and functional behaviour is assessed and rehabilitated.
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Cites
Cohen, N. J., & Squire, L. R. (1980) · Science · doi:10.1126/science.7414331 · Cited by 2,296
Blascovich, J., Loomis, J., Beall, A. C., Swinth, K. R., Hoyt, C. L., & Bailenson, J. N. (2002) · Psychological Inquiry · doi:10.1207/s15327965pli1302_01 · Cited by 1,280
Behavioural Assessment of the Dysexecutive Syndrome
(2004) · Methodology Of Frontal And Executive Function · doi:10.4324/9780203344187-15 · Cited by 1,149
Cited by
A SWOT Analysis of the Field of Virtual Reality Rehabilitation and Therapy
Rizzo, A. “., & Kim, G. J. (2005) · Presence: Teleoperators and Virtual Environments · doi:10.1162/1054746053967094 · Cited by 877
Self-citationVirtual Reality in Brain Damage Rehabilitation: Review
Rose, F. D., Brooks, B. M., & Rizzo, A. A. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.241 · Cited by 469
Self-citationIs clinical virtual reality ready for primetime?
Rizzo, A. “., & Koenig, S. T. (2017) · Neuropsychology · doi:10.1037/neu0000405 · Cited by 372
Acceptance of immersive head-mounted virtual reality in older adults
Huygelier, H., Schraepen, B., van Ee, R., Vanden Abeele, V., & Gillebert, C. R. (2019) · Scientific Reports · doi:10.1038/s41598-019-41200-6 · Cited by 299
A Virtual Reality Scenario for All Seasons:The Virtual Classroom
Rizzo, A. A., Bowerly, T., Buckwalter, J. G., Klimchuk, D., Mitura, R., & Parsons, T. D. (2009) · CNS Spectrums · doi:10.1017/s1092852900024196 · Cited by 283
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Metadata
- Authors
- Rizzo, A. A., Schultheis, M., Kerns, K. A., & Mateer, C.
- Venue
- Neuropsychological Rehabilitation
- Publisher
- Informa UK Limited
- Published
- 2004-03
- Volume
- 14
- Issue
- 1-2
- Pages
- 207-239
- ISSN
- 0960-2011 (ISSN-L)
- 1464-0694
- OpenAlex
- W2076891970
- Cited by
- 484
- References
- 3
- FWCI
- 19.46
- Type
- journal article
- Language
- en
- Open access
- closed
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