Immersive Interface Design for Cultural Heritage Learning Experience: An Exploration with Multimodal Learning Analytics

Wenxiang Zhou, Xiao Hu, Ying Que, Wei Wei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study employed multimodal learning analytics methods to evaluate different virtual reality (VR) interfaces, exploring their impact on the learning experience of cultural heritage. We recorded and analyzed the participants' learning behavior, self-reported perceptions from questionnaires' responses, electroencephalogram (EEG) signals, and visual fatigue. Preliminary results suggested that VR interfaces with more modules per scene led to higher efficiency of use, although more modules did not improve viewing experience. This study provides insights for immersive interface design in cultural heritage learning.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024
EditorsZehra Altinay, Maiga Chang, Rita Kuo, Ahmed Tlili
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages269-271
Number of pages3
ISBN (Electronic)9798350362053
DOIs
Publication statusPublished - 2024
Event24th IEEE International Conference on Advanced Learning Technologies, ICALT 2024 - Hybrid, Nicosia, Cyprus
Duration: 1 Jul 20244 Jul 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Advanced Learning Technologies, ICALT 2024

Conference

Conference24th IEEE International Conference on Advanced Learning Technologies, ICALT 2024
Country/TerritoryCyprus
CityHybrid, Nicosia
Period1/07/244/07/24

Keywords

  • Cultural Heritage
  • Immersive Museums
  • Interface Design
  • Multimodal Learning Analytics
  • User Experience

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