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

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Abstract
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.
Keywords
Augmented Reality, User Performance, User Experience, Experimental Research, Systematic Literature Review

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Chicago
Anrijs, Sarah, Tony van Rooij, Elena Patricia Nunez Castellar, and Jan Van Looy. 2017. “A Systematic Literature Review of User Performance and User Subjective Experience Determinants of Augmented Reality Applications.” In Proceedings of the 67th Annual ICA Conference.
APA
Anrijs, S., van Rooij, T., Nunez Castellar, E. P., & Van Looy, J. (2017). A systematic literature review of user performance and user subjective experience determinants of Augmented Reality applications. Proceedings of the 67th Annual ICA Conference. Presented at the 67th Annual ICA Conference: Interventions: Communication Research and Practice.
Vancouver
1.
Anrijs S, van Rooij T, Nunez Castellar EP, Van Looy J. A systematic literature review of user performance and user subjective experience determinants of Augmented Reality applications. Proceedings of the 67th Annual ICA Conference. 2017.
MLA
Anrijs, Sarah, Tony van Rooij, Elena Patricia Nunez Castellar, et al. “A Systematic Literature Review of User Performance and User Subjective Experience Determinants of Augmented Reality Applications.” Proceedings of the 67th Annual ICA Conference. 2017. Print.
@inproceedings{8505883,
  abstract     = {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.},
  author       = {Anrijs, Sarah and van Rooij, Tony and Nunez Castellar, Elena Patricia and Van Looy, Jan},
  booktitle    = {Proceedings of the 67th Annual ICA Conference},
  keyword      = {Augmented Reality,User Performance,User Experience,Experimental Research,Systematic Literature Review},
  location     = {San Diego},
  title        = {A systematic literature review of user performance and user subjective experience determinants of Augmented Reality applications},
  year         = {2017},
}