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Exploring User Engagement in Immersive Virtual Reality Games through Multimodal Body Movements

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Abstract

User engagement in Virtual Reality (VR) games is crucial for creating immersive and captivating gaming experiences that meet the expectations of players. However, understanding and measuring these levels in VR games presents a challenge for game designers, as current methods, such as self-reports, may be limited in capturing the full extent of user engagement. Additionally, approaches based on biological signals to measure engagement in VR games present complications and challenges, including signal complexity, interpretation difficulties, and ethical concerns. This study explores body movements, as a novel approach to measure user engagement in VR gaming. We employ E4, emteqPRO, and off-the-shelf IMUs to measure the body movements from diverse participants engaged in multiple VR games. Further, we examine the simultaneous occurrence of player motivation and physiological responses to explore potential associations with body movements. Our findings suggest that body movements hold promise as a reliable and objective indicator of user engagement, offering game designers valuable insights on generating more engaging and immersive experiences.

Original languageEnglish
Title of host publicationVRST 2023 - 29th ACM Symposium on Virtual Reality Software and Technology
EditorsGerd Bruder, Tabitha Peck, Stefania Serafin
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9798400703287
DOIs
Publication statusPublished - 2023
EventACM Symposium on Virtual Reality Software and Technology 2023 - Christchurch, New Zealand
Duration: 9 Oct 202311 Oct 2023
Conference number: 29th
https://dl.acm.org/doi/proceedings/10.1145/3611659 (Proceedings)
https://vrst.acm.org/vrst2023/ (Website)

Conference

ConferenceACM Symposium on Virtual Reality Software and Technology 2023
Abbreviated titleVRST 2023
Country/TerritoryNew Zealand
CityChristchurch
Period9/10/2311/10/23
Internet address

Keywords

  • Body Movements
  • Data-driven methods
  • Emotions
  • Engagement
  • Virtual Reality Games

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