ASSESSING THE QUALITY OF AN AUGMENTED REALITY SYSTEM: AN ANALYSIS OF THE STATE OF RESEARCH

Authors

  • Yevhenii Kanarskyi
  • Oleksandr Orehov
  • Anastasiia Stadnyk

DOI:

https://doi.org/10.26906/SUNZ.2022.4.079

Keywords:

augmented reality, quality models, metrics, user experience, usability

Abstract

Due to the rapid spread of augmented reality technology in various spheres of human activity, the question of quality assessment of these systems has arisen. Although studies in this direction have already been conducted, they covered individual quality indicators and did not offer a single comprehensive model. The ISO-25010 standard was used to assess the quality of augmented reality systems. But this standard does not take into account the special differences of systems and applications of augmented reality, which makes research for this direction extremely relevant. The purpose of this article is to review and systematize existing publications on the topic of augmented reality quality research to determine current results and current research directions for further use in the development of models and metric methods for assessing the quality of augmented reality systems. During the review, it was established that the largest number of studies is devoted to the quality of using augmented reality and the user experience of using such systems. In most cases, it is suggested to conduct an assessment using the heuristic method. Ther e are also attempts to develop metrics based on existing quality standards for software systems or to modernize existing evaluation models. Proposals for the development of separate metric methods for evaluating augmented reality systems are absent or are i n closed access. Based on the results of the review, it can be concluded that when developing models and metrics for assessing the quality of augmented reality systems, it will be necessary to take into account such characteristics as the quality of use, the quality of the user experience, and visual appeal. This list is planned to be supplemented after conducting a more in-depth review of existing research.

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Published

2022-11-29