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Comparison of Freehand Virtual Locomotion Interfaces at Different Speeds in Waypoint Navigation.

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Title: Comparison of Freehand Virtual Locomotion Interfaces at Different Speeds in Waypoint Navigation.
Authors: Huang, Jinghua (AUTHOR), Liu, Yuanyuan (AUTHOR), Mao, Lujin (AUTHOR), Ou, Yuhang (AUTHOR), Qi, Mengyao (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 22, p14584-14602. 19p.
Subjects: Gesture, User experience, Electronic navigation, Task performance, Velocity, Physical mobility, Gesture controlled interfaces (Computer systems)
Abstract: Freehand interaction is a promising method for virtual locomotion. While previous studies have proposed various freehand gestures, little is known about the optimal choice among the most frequently used gestures at different locomotion speeds. This study investigates the differences in physiological metrics, performance, and subjective assessments of three distinct gestures (IndexSlide, PalmSlide, and FistSlide) during waypoint navigation tasks at three speeds. Results indicated that PalmSlide was an optimal choice for prolonged use and effective locomotion at slower and moderate speeds during waypoint navigation tasks, as it offered significant benefits in reducing muscle strain, shortening task completion time, and enhancing the user experience. Additionally, IndexSlide showed reduced task completion time, fewer collisions, and an overall more enjoyable experience at the faster speed, suggesting that it might be the preferable choice for virtual navigation scenarios that require rapid manipulation during high-speed locomotion, such as competitive gaming settings. [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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PubType: Academic Journal
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  Label: Title
  Group: Ti
  Data: Comparison of Freehand Virtual Locomotion Interfaces at Different Speeds in Waypoint Navigation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Jinghua%22">Huang, Jinghua</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yuanyuan%22">Liu, Yuanyuan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mao%2C+Lujin%22">Mao, Lujin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ou%2C+Yuhang%22">Ou, Yuhang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Mengyao%22">Qi, Mengyao</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 22, p14584-14602. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Gesture%22">Gesture</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+navigation%22">Electronic navigation</searchLink><br /><searchLink fieldCode="DE" term="%22Task+performance%22">Task performance</searchLink><br /><searchLink fieldCode="DE" term="%22Velocity%22">Velocity</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+mobility%22">Physical mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Gesture+controlled+interfaces+%28Computer+systems%29%22">Gesture controlled interfaces (Computer systems)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Freehand interaction is a promising method for virtual locomotion. While previous studies have proposed various freehand gestures, little is known about the optimal choice among the most frequently used gestures at different locomotion speeds. This study investigates the differences in physiological metrics, performance, and subjective assessments of three distinct gestures (IndexSlide, PalmSlide, and FistSlide) during waypoint navigation tasks at three speeds. Results indicated that PalmSlide was an optimal choice for prolonged use and effective locomotion at slower and moderate speeds during waypoint navigation tasks, as it offered significant benefits in reducing muscle strain, shortening task completion time, and enhancing the user experience. Additionally, IndexSlide showed reduced task completion time, fewer collisions, and an overall more enjoyable experience at the faster speed, suggesting that it might be the preferable choice for virtual navigation scenarios that require rapid manipulation during high-speed locomotion, such as competitive gaming settings. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=189325141
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      – Type: doi
        Value: 10.1080/10447318.2025.2484648
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: User experience
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      – SubjectFull: Electronic navigation
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      – SubjectFull: Task performance
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      – SubjectFull: Velocity
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      – SubjectFull: Physical mobility
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      – SubjectFull: Gesture controlled interfaces (Computer systems)
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            NameFull: Mao, Lujin
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              Text: Nov2025
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