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Augmented and Virtual Reality Technologies in the Future of Work: User Preferences and Design Principles

Immersive technologies, including augmented reality (AR) and virtual reality (VR), are envisioned to become ubiquitous in future work environments. The implementation of both technologies is associated with versatile benefits, such as decreased costs, reduced physical risks, increased employee self-satisfaction, and lower resource consumption. Despite these potential benefits, the organizational diffusion of immersive technologies faces myriad challenges. For instance, usability problems along with privacy concerns have introduced technology acceptance issues. Addressing these challenges, this cumulative dissertation explores the design, application, and implications of AR and VR systems in the workplace by employing a mixed-methods approach. The contribution of this research is threefold. First, this dissertation provides descriptive insights into user preferences for immersive technologies to inform user-centered design considerations. Second, this dissertation presents design principles to guide the development of four information technology artifacts. Two of these artifacts enable VR-based collaboration in the fields of design thinking and process modeling, while the remaining two artifacts leverage AR to facilitate the crowdsourcing of human intelligence tasks and to support students in distance learning settings. Third, this dissertation develops an e³-value model for the AR and VR business ecosystem to illustrate how technology providers can transform such artifacts into economic value. Taken together, these insights improve understanding the sociotechnical interplay between humans, tasks, and immersive technologies, as well as its economic implications.

Identiferoai:union.ndltd.org:uni-osnabrueck.de/oai:osnadocs.ub.uni-osnabrueck.de:ds-202208267300
Date26 August 2022
CreatorsSchuir, Julian
ContributorsProf. Dr. Frank Teuteberg, Prof. Dr. Oliver Thomas
Source SetsUniversität Osnabrück
LanguageGerman
Detected LanguageEnglish
Typedoc-type:doctoralThesis
Formatapplication/pdf, application/zip
RightsAttribution-NonCommercial-NoDerivs 3.0 Germany, http://creativecommons.org/licenses/by-nc-nd/3.0/de/

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