Emotions detection of user experience (Ux) for mobile augmented reality (mar) applications

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Mobile Augmented Reality (MAR) is becoming a major interactive technology for cross-domain and destination applications. The number of using MAR apps around the world in excess of 2.2 billion by 2019. Despite the recent advances in MAR technology and tools, the User eXperience (UX) design perspective has not been seriously taken into consideration. In this paper, an MAR application production scheme using UX is practically investigated. Particularly, “GlassOn" app which provides visual information on how the user looks like with various types of glasses, is utilized in accordance with the user’s emotion raised by the interaction. To verify the effectiveness of this scheme, an evaluation experiment was conducted with 10 participants. The numerical values that indicate the rates of each emotion were taken from Microsoft Azure Face API. Meanwhile, a questionnaire survey was conducted to collect each participant’s perception of each pair of glasses as subjective evaluation. The comparison between subjective evaluation and the numerical results shows that the more the emotion of surprise is raised rather than happiness, the higher the user’s purchase rate. It is revealed that UX is useful to inspire the user’s purchase desire for glasses online.

Original languageEnglish
Pages (from-to)63-67
Number of pages5
JournalInternational Journal of Advanced Trends in Computer Science and Engineering
Issue number1.4 S1
Publication statusPublished - 2019


  • Emotion API
  • Emotions Detection
  • Mobile Augmented Reality (MAR)
  • Mobile Device
  • User eXperience (UX)

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering


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