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A currently discussed approach to increase efficiency during task execution, inter alia to reduce error rates and execution times, is the utilization of headset-based augmented reality systems (HARS). Additional to direct task support, HARSes can offer workflow management and control functions. However, these are only covered very limitedly by existing design-oriented approaches. Thus, users have to resort to additional devices, decreasing efficiency, and usability. Based on a three-step systematic literature analysis and two focus groups, we present a novel tentative design theory for HARSes supporting the full range of workflow management and control functions. Our design theory consists of four design requirements and nine design principles and is the basis for a software artifact prototype. Both our tentative design theory and software artifact are formatively evaluated by a third focus group. Our contributions add to the prescriptive knowledge base of the community and may be adapted by researchers and practitioners.



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