A meta-analysis of virtual reality training programs. (August 2021)
- Record Type:
- Journal Article
- Title:
- A meta-analysis of virtual reality training programs. (August 2021)
- Main Title:
- A meta-analysis of virtual reality training programs
- Authors:
- Howard, Matt C.
Gutworth, Melissa B.
Jacobs, Rick R. - Abstract:
- Abstract: Virtual reality (VR) is the three-dimensional digital representation of a real or imagined space with interactive capabilities. The application of VR for organizational training purposes has been surrounded by much fanfare; however, mixed results have been provided for the effectiveness of VR training programs, and the attributes of effective VR training programs are still unknown. To address these issues, we perform a meta-analysis of controlled experimental studies that tests the effectiveness of VR training programs. We obtain an estimate of the overall effectiveness of VR training programs, and we identify features of VR training programs that systematically produce improved results. Our meta-analytic findings support that VR training programs produce better outcomes than tested alternatives. The results also show that few moderating effects were significant. The applied display hardware, input hardware, and inclusion of game attributes had non-significant moderating effects; however, task-technology fit and aspects of the research design did influence results. We suggest that task-technology fit theory is an essential paradigm for understanding VR training programs, and no set of VR technologies is "best" across all contexts. Future research should continue studying all types of VR training programs, and authors should more strongly integrate research and theory on employee training and development. Highlights: We perform a meta-analysis of controlledAbstract: Virtual reality (VR) is the three-dimensional digital representation of a real or imagined space with interactive capabilities. The application of VR for organizational training purposes has been surrounded by much fanfare; however, mixed results have been provided for the effectiveness of VR training programs, and the attributes of effective VR training programs are still unknown. To address these issues, we perform a meta-analysis of controlled experimental studies that tests the effectiveness of VR training programs. We obtain an estimate of the overall effectiveness of VR training programs, and we identify features of VR training programs that systematically produce improved results. Our meta-analytic findings support that VR training programs produce better outcomes than tested alternatives. The results also show that few moderating effects were significant. The applied display hardware, input hardware, and inclusion of game attributes had non-significant moderating effects; however, task-technology fit and aspects of the research design did influence results. We suggest that task-technology fit theory is an essential paradigm for understanding VR training programs, and no set of VR technologies is "best" across all contexts. Future research should continue studying all types of VR training programs, and authors should more strongly integrate research and theory on employee training and development. Highlights: We perform a meta-analysis of controlled experimental studies that assesses VR programs for education and training. VR programs produce better outcomes than tested alternatives. Few moderating effects were significant, including the display hardware, input hardware, and inclusion of game elements. The task-technology fit of the VR training program, however, was a very strong moderator. … (more)
- Is Part Of:
- Computers in human behavior. Volume 121(2021)
- Journal:
- Computers in human behavior
- Issue:
- Volume 121(2021)
- Issue Display:
- Volume 121, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 121
- Issue:
- 2021
- Issue Sort Value:
- 2021-0121-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08
- Subjects:
- Virtual reality -- Head mounted display -- Computer-based training -- Training and development -- Learning -- Meta-analysis
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2021.106808 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
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British Library HMNTS - ELD Digital store - Ingest File:
- 25586.xml