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Factors Influencing the User Experience of Mobile Augmented Reality Apps: An Analysis of User Feedback Based on App Store User Reviews

In: Digital Disruption and Media Transformation

Author

Listed:
  • Stefan Graser

    (Faculty of Design Computer Science Media, RheinMain University of Applied Sciences)

  • Leslie Hugh Nielsen

  • Stephan Böhm

    (Faculty of Design Computer Science Media, RheinMain University of Applied Sciences)

Abstract

Mobile augmented reality (MAR) emerged as an innovation caused by smartphone technology’s rapid development and performance improvements. User experience (UX) is essential for user acceptance and further dissemination of this technology. This paper approaches the identification of UX factors for MAR apps by analyzing user feedback in Google Play Store reviews of popular MAR apps. Topic modeling as a machine learning technique was applied. The Latent Dirichlet Allocation (LDA) was used as a relatively new data science approach to examine the reviews and identify topics. These topics were then interpreted and matched with existing UX factors. Based on the study results, a good rating appears to be achieved when the app’s promised value proposition and the additional benefits associated with the integration of AR are perceivably delivered by the app for users. In the case of the apps examined, these user expectations were met and generated feedback about positive experiences if the AR-related utility values in terms of productivity, enjoyment, and entertainment were perceived to be satisfied. On the other hand, negative ratings where users articulated dissatisfaction and thus poor UX has mainly been associated with technical difficulties and hence a failure of the apps to deliver the promised user value. Furthermore, it can be shown that the topics extracted from the user feedback correspond to the influencing factors of existing UX models.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-39940-4_9
DOI: 10.1007/978-3-031-39940-4_9
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