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

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Bibliographic Details
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]
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Database: Psychology and Behavioral Sciences Collection
Description
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]
ISSN:10447318
DOI:10.1080/10447318.2025.2587249