A Systematic Review of 10 Years of Augmented Reality Usability Studies: 2005 to 2014

By Arindam Dey, Mark Billinghurst, R. Lindeman, J. Edward Swan II. Frontiers in Robotics and AI, 2018

377 citations recorded by the source corpus.

Augmented Reality (AR) interfaces have been studied extensively over the last few decades, with a growing number of user-based experiments. In this paper, we systematically review 10 years of the most influential AR user studies, from 2005 to 2014. A total of 291 papers with 369 individual user studies have been reviewed and classified based on their application areas. The primary contribution of the review is to present the broad landscape of user-based AR research, and to provide a high-level view of how that landscape has changed. We summarize the high-level contributions from each category of papers, and present examples of the most influential user studies. We also identify areas where there have been few user studies, and opportunities for future research. Among other things, we find that there is a growing trend toward handheld AR user studies, and that most studies are conducted in laboratory settings and do not involve pilot testing. This research will be useful for AR researchers who want to follow best practices in designing their own AR user studies.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/f2826c10043ee29a749c2c27524a97f455f54143

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

  1. Henry Been Lirn Duh
  2. G. Welch
  3. Mark Billinghurst
  4. Gerd Bruder
  5. Kangsoo Kim
  6. Ana Javornik
  7. Borko Furht
  8. Julie Carmigniani

In Human-Computer Interaction

  1. Henry Been Lirn Duh
  2. G. Welch
  3. Mark Billinghurst
  4. Gerd Bruder
  5. Kangsoo Kim
  6. Ana Javornik
  7. Borko Furht
  8. Julie Carmigniani

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