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TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms.

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Title: TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms.
Authors: Chang, Huaizhou (AUTHOR), Sun, Minghui (AUTHOR), Qin, Jun (AUTHOR), Wei, Junhao (AUTHOR), Wang, Limin (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13427-13446. 20p.
Subjects: Virtual reality, User experience, Ray tracing algorithms, Targets (Sports)
Abstract: Raycasting is a common technique for selecting targets in virtual reality, yet selecting small, distant moving targets remains a challenge. Inspired by the comet mechanism, we propose TrailTag, which enhances selection by adding a Trail to each target, dynamically adjusting its activation area based on speed and size. Additionally, a static Tag is attached, allowing selection via either the Trail or Tag depending on the scenario. We define the design criteria for both the Trail and Tag, implement visual feedback, and determine the optimal trail width through experiments. Comparative studies with various 3D selection techniques show that TrailTag reduces selection time by 59% and error rate by 62% compared to traditional Raycasting, significantly improving user experience. Finally, we discuss potential optimizations and explore broader applications of TrailTag in dynamic environments. [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.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
  Group: Ti
  Data: TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Chang%2C+Huaizhou%22">Chang, Huaizhou</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Minghui%22">Sun, Minghui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qin%2C+Jun%22">Qin, Jun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Junhao%22">Wei, Junhao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Limin%22">Wang, Limin</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2025, Vol. 41 Issue 21, p13427-13446. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Ray+tracing+algorithms%22">Ray tracing algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Targets+%28Sports%29%22">Targets (Sports)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Raycasting is a common technique for selecting targets in virtual reality, yet selecting small, distant moving targets remains a challenge. Inspired by the comet mechanism, we propose TrailTag, which enhances selection by adding a Trail to each target, dynamically adjusting its activation area based on speed and size. Additionally, a static Tag is attached, allowing selection via either the Trail or Tag depending on the scenario. We define the design criteria for both the Trail and Tag, implement visual feedback, and determine the optimal trail width through experiments. Comparative studies with various 3D selection techniques show that TrailTag reduces selection time by 59% and error rate by 62% compared to traditional Raycasting, significantly improving user experience. Finally, we discuss potential optimizations and explore broader applications of TrailTag in dynamic environments. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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:
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      – Type: doi
        Value: 10.1080/10447318.2025.2474463
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        Text: English
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        Type: general
      – SubjectFull: User experience
        Type: general
      – SubjectFull: Ray tracing algorithms
        Type: general
      – SubjectFull: Targets (Sports)
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      – TitleFull: TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms.
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              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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