A systematic literature review of user performance and user subjective experience determinants of Augmented Reality applications

Although Augmented Reality (AR) technology is still in its infancy, applications have been rapidly developed. Claimed advantages are the ability to visualize processes, to increase motivation of users and to produce safer, cost-reducing and more effective skills training. Recently, a large number of studies examined determinants of AR effectiveness to maximize the potential benefits. However, no overview of AR effectiveness determinants is available to guide researchers, developers, and investors. Therefore, we conducted a systematic literature review of user performance and user subjective experience determinants of AR applications. In our preliminary analyses on 30 papers we identified three types of determinants, i.e. AR system aspects, device aspects and task aspects. Although aspects that simplifies the task, visually supports the user and provide high view quality seems to improve performance and experience, too overwhelming augmentations should be avoided. Further research can use this review to design effective experiments and examine unexplored determinants.