Design of Traditional Cultural Experiences Using Augmented Reality Based on Environmental Presence

Yuya Ieiri, Hung Ya Tsai, Kenta Mizobuchi, Shao Tengfei, Reiko Hishiyama

Research output: Contribution to journalArticlepeer-review


Traditional cultural experiences are valuable for tourist destinations. Previous studies have developed systems for experiencing traditional culture using augmented reality (AR). However, few works have considered the effectiveness of different types of AR experiences of traditional cultural elements. In this article, we focus on <bold/><italic>equipment elements</italic><bold/> and <bold/><italic>environment elements</italic><bold/>, and propose design recommendations for an AR traditional cultural experience system that considers differences in the environmental presence of traditional cultural experiences. We conducted a comparative study with 49 users to understand the impact of these differences. We compared three options for handling environmental presence, including <bold/><italic>nonpresence</italic><bold/>, <bold/><italic>AR-presence</italic><bold/>, and <bold/><italic>real-presence</italic><bold/>. The results show that presenting environmental elements in a state of <italic>real-presence</italic> improved an AR experience of traditional culture. Additionally, we found that this setting worked positively for Japanese participants, whereas Chinese participants preferred environmental elements in the state of <italic>nonpresence</italic>.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Human-Machine Systems
Publication statusAccepted/In press - 2023


  • Augmented reality (AR)
  • Cultural differences
  • Design methodology
  • environmental presence
  • Fans
  • Games
  • human–computer interaction
  • Museums
  • Psychology
  • traditional cultural experience
  • Virtual environments

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Control and Systems Engineering
  • Signal Processing
  • Human-Computer Interaction
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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