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A Study of the Effect of Different Amplitudes and Colors on Recognition Efficiency in HUDs.

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Title: A Study of the Effect of Different Amplitudes and Colors on Recognition Efficiency in HUDs.
Authors: Xue, Kaipeng (AUTHOR), Guo, Junqing (AUTHOR), Liu, Yan (AUTHOR), Song, Fanghao (AUTHOR)
Source: International Journal of Human-Computer Interaction. Jul2026, Vol. 42 Issue 14, p10908-10925. 18p.
Subjects: Head-up displays, Color, Magnitude (Mathematics), Eye tracking, Recognition (Psychology), Cycling, Vibration (Mechanics)
Abstract: Vibration affects the efficiency of information recognition during driving, yet the impact of varying amplitudes and colors in Head-Up Displays (HUDs) on recognition efficiency remains unknown. Based on this, this study uses helmet-mounted HUDs as an example to explore the impact of different amplitudes and colors on recognition efficiency. Three distinct cycling environments with varying amplitudes were created. Six colors were selected for displaying key information on the HUD. Participants' reaction times and pupil diameters during the experiment were recorded using VR eye-tracking equipment. Data analysis was conducted using SPSS Statistics software, including two-way ANOVA and LSD post-hoc multiple comparisons. The results indicate that significant differences exist in recognition efficiency across different amplitudes and colors, with low amplitude, red, and cyan demonstrating superior recognition efficiency. This study provides a theoretical basis for optimizing the interface design of helmet-mounted HUDs, offering practical significance for enhancing information recognition efficiency during cycling. [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
FullText Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 195177673
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Study of the Effect of Different Amplitudes and Colors on Recognition Efficiency in HUDs.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xue%2C+Kaipeng%22">Xue, Kaipeng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Junqing%22">Guo, Junqing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yan%22">Liu, Yan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Fanghao%22">Song, Fanghao</searchLink> (AUTHOR)
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  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Jul2026, Vol. 42 Issue 14, p10908-10925. 18p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Head-up+displays%22">Head-up displays</searchLink><br /><searchLink fieldCode="DE" term="%22Color%22">Color</searchLink><br /><searchLink fieldCode="DE" term="%22Magnitude+%28Mathematics%29%22">Magnitude (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Cycling%22">Cycling</searchLink><br /><searchLink fieldCode="DE" term="%22Vibration+%28Mechanics%29%22">Vibration (Mechanics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Vibration affects the efficiency of information recognition during driving, yet the impact of varying amplitudes and colors in Head-Up Displays (HUDs) on recognition efficiency remains unknown. Based on this, this study uses helmet-mounted HUDs as an example to explore the impact of different amplitudes and colors on recognition efficiency. Three distinct cycling environments with varying amplitudes were created. Six colors were selected for displaying key information on the HUD. Participants' reaction times and pupil diameters during the experiment were recorded using VR eye-tracking equipment. Data analysis was conducted using SPSS Statistics software, including two-way ANOVA and LSD post-hoc multiple comparisons. The results indicate that significant differences exist in recognition efficiency across different amplitudes and colors, with low amplitude, red, and cyan demonstrating superior recognition efficiency. This study provides a theoretical basis for optimizing the interface design of helmet-mounted HUDs, offering practical significance for enhancing information recognition efficiency during cycling. [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=195177673
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2587249
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 10908
    Subjects:
      – SubjectFull: Head-up displays
        Type: general
      – SubjectFull: Color
        Type: general
      – SubjectFull: Magnitude (Mathematics)
        Type: general
      – SubjectFull: Eye tracking
        Type: general
      – SubjectFull: Recognition (Psychology)
        Type: general
      – SubjectFull: Cycling
        Type: general
      – SubjectFull: Vibration (Mechanics)
        Type: general
    Titles:
      – TitleFull: A Study of the Effect of Different Amplitudes and Colors on Recognition Efficiency in HUDs.
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            NameFull: Xue, Kaipeng
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            NameFull: Guo, Junqing
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            NameFull: Liu, Yan
      – PersonEntity:
          Name:
            NameFull: Song, Fanghao
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            – D: 15
              M: 07
              Text: Jul2026
              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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