Paper Type
Complete
Paper Number
1462
Description
Virtual reality (VR) is a promising technology offering immersive environments for diverse applications, including collaborative work. However, VR applications often lack user acceptance due to usability and cognitive load issues. Prescriptive design knowledge and appropriate design principles (DPs) can address these issues, but their low reusability in research and practice limits their effectiveness. This paper aims to enhance DP reusability through a meta-study of VR design knowledge, with a special focus on collaborative work. We examine 65 DPs through the lens of design science research criteria, synthesize them into a reusable set of 11 DPs via AI-based prompt engineering, and delineate future research recommendations. This paper contributes to research by consolidating existing design insights, which helps to avoid redundant design knowledge proposals. It contributes to practice by providing a reusable overview of DPs for VR applications in collaborative settings, thereby aiding in leveraging VR's full potential.
Recommended Citation
Khosrawi-Rad, Bijan; Strohmann, Timo; Grogorick, Linda; and Robra-Bissantz, Susanne, "A Meta-Study on Design Knowledge for Virtual Reality in Collaborative Work" (2024). PACIS 2024 Proceedings. 3.
https://aisel.aisnet.org/pacis2024/track08_digtech_fow/track08_digtech_fow/3
A Meta-Study on Design Knowledge for Virtual Reality in Collaborative Work
Virtual reality (VR) is a promising technology offering immersive environments for diverse applications, including collaborative work. However, VR applications often lack user acceptance due to usability and cognitive load issues. Prescriptive design knowledge and appropriate design principles (DPs) can address these issues, but their low reusability in research and practice limits their effectiveness. This paper aims to enhance DP reusability through a meta-study of VR design knowledge, with a special focus on collaborative work. We examine 65 DPs through the lens of design science research criteria, synthesize them into a reusable set of 11 DPs via AI-based prompt engineering, and delineate future research recommendations. This paper contributes to research by consolidating existing design insights, which helps to avoid redundant design knowledge proposals. It contributes to practice by providing a reusable overview of DPs for VR applications in collaborative settings, thereby aiding in leveraging VR's full potential.
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