Academic Journal

Alone or Together? Quantifying Behavioral and Cognitive Impacts in VR Museums Through Trajectory Analytics and Perception Evaluation.

Bibliographic Details
Title: Alone or Together? Quantifying Behavioral and Cognitive Impacts in VR Museums Through Trajectory Analytics and Perception Evaluation.
Authors: Zhang, Shichun1 (AUTHOR), Wang, Lijun1 (AUTHOR) 340446759@qq.com, Xing, Ziyu1 (AUTHOR)
Source: International Journal of Human-Computer Interaction. Sep2026, Vol. 42 Issue 17, p14633-14661. 29p.
Subject Terms: *Data analytics, Virtual museums, Social dynamics, Psychological factors, User experience, Sensory evaluation, Human behavior
Abstract: This study investigates behavioral differences and experience mechanisms under distinct social scenarios in VR museums. Based on an experimental framework from our prior work, participants were assigned to single-person and dual-person groups (n = 100) for comprehensive analysis integrating trajectory mining and perceptual experience evaluation. Results indicate that single-person groups rely on visual focus stability, yet experience negativity from high-frequency operations. Dual-person groups enhance satisfaction through social coordination, demonstrating significantly better performance across six subjective indicators (attention span, presence, and content impression). Solo exploration requires operational coherence to compensate for isolated experience limitations, whereas group tours transform cognitive load into emotional gains through coordinated navigation. These findings provide critical design implications for VR museums. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Alone or Together? Quantifying Behavioral and Cognitive Impacts in VR Museums Through Trajectory Analytics and Perception Evaluation.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shichun%22">Zhang, Shichun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Lijun%22">Wang, Lijun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 340446759@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xing%2C+Ziyu%22">Xing, Ziyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Sep2026, Vol. 42 Issue 17, p14633-14661. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Data+analytics%22">Data analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+museums%22">Virtual museums</searchLink><br /><searchLink fieldCode="DE" term="%22Social+dynamics%22">Social dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+factors%22">Psychological factors</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+evaluation%22">Sensory evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Human+behavior%22">Human behavior</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates behavioral differences and experience mechanisms under distinct social scenarios in VR museums. Based on an experimental framework from our prior work, participants were assigned to single-person and dual-person groups (n = 100) for comprehensive analysis integrating trajectory mining and perceptual experience evaluation. Results indicate that single-person groups rely on visual focus stability, yet experience negativity from high-frequency operations. Dual-person groups enhance satisfaction through social coordination, demonstrating significantly better performance across six subjective indicators (attention span, presence, and content impression). Solo exploration requires operational coherence to compensate for isolated experience limitations, whereas group tours transform cognitive load into emotional gains through coordinated navigation. These findings provide critical design implications for VR museums. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2611345
    Languages:
      – Code: eng
        Text: English
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        PageCount: 29
        StartPage: 14633
    Subjects:
      – SubjectFull: Data analytics
        Type: general
      – SubjectFull: Virtual museums
        Type: general
      – SubjectFull: Social dynamics
        Type: general
      – SubjectFull: Psychological factors
        Type: general
      – SubjectFull: User experience
        Type: general
      – SubjectFull: Sensory evaluation
        Type: general
      – SubjectFull: Human behavior
        Type: general
    Titles:
      – TitleFull: Alone or Together? Quantifying Behavioral and Cognitive Impacts in VR Museums Through Trajectory Analytics and Perception Evaluation.
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            NameFull: Zhang, Shichun
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            NameFull: Wang, Lijun
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            NameFull: Xing, Ziyu
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 42
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            – TitleFull: International Journal of Human-Computer Interaction
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