Driver-Centric Design: Empirical Strategies for Optimizing the Visualization of Driving Information on Vehicle Liquid Crystal Display Dashboards

With the continuous advancement of smart car and vehicle display technologies, liquid crystal display (LCD) dashboards have become the mainstream medium for displaying driving information. This makes the reading performance and user research of LCD vehicle dashboards critically important. In this study, we aim to evaluate the impact of the human-machine interface (HMI) design of vehicle LCD dashboards on driver readability and user experience. Twelve experts participated in a clustering experiment of vehicle dashboards, and 32 drivers participated in a simulated driving environment test of resident display information and temporary display information. The results for resident display information indicate that design type makes a significant difference in both reading performance and visual search efficiency. In addition, only the unconventional-shaped (L-shaped) dual-dial design achieves the "desired" outcome in the user experience evaluations. Regarding temporary display information, findings indicate that icons positioned at the top of the dashboard interface are more readable than those at the bottom. High prioritized or frequently used icons should be placed at the top of the screen. Alternatively, if icons must be positioned at the bottom, they should be no smaller than 8 mm in size. This research will help reduce the driver's visual workload and off-road sight time, reduce the risk of traffic accidents, and improve the driver's user experience.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3560681
Citations
3
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
7.32
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article

Driver-Centric Design: Empirical Strategies for Optimizing the Visualization of Driving Information on Vehicle Liquid Crystal Display Dashboards

Jin-Long Lin, Meng-Cong Zheng, Peng Liu, Tao Wang
3 citations
IEEE Access
Human-Automation Interaction and Safety
7.32
article

Driver-Centric Design: Empirical Strategies for Optimizing the Visualization of Driving Information on Vehicle Liquid Crystal Display Dashboards

Jin-Long Lin, Meng-Cong Zheng, Peng Liu, Tao Wang
article en
3 citations

Abstract

With the continuous advancement of smart car and vehicle display technologies, liquid crystal display (LCD) dashboards have become the mainstream medium for displaying driving information. This makes the reading performance and user research of LCD vehicle dashboards critically important. In this study, we aim to evaluate the impact of the human-machine interface (HMI) design of vehicle LCD dashboards on driver readability and user experience. Twelve experts participated in a clustering experiment of vehicle dashboards, and 32 drivers participated in a simulated driving environment test of resident display information and temporary display information. The results for resident display information indicate that design type makes a significant difference in both reading performance and visual search efficiency. In addition, only the unconventional-shaped (L-shaped) dual-dial design achieves the "desired" outcome in the user experience evaluations. Regarding temporary display information, findings indicate that icons positioned at the top of the dashboard interface are more readable than those at the bottom. High prioritized or frequently used icons should be placed at the top of the screen. Alternatively, if icons must be positioned at the bottom, they should be no smaller than 8 mm in size. This research will help reduce the driver's visual workload and off-road sight time, reduce the risk of traffic accidents, and improve the driver's user experience.

IEEE AccessVol. 13
National Taipei University of Technology (TW), Huizhou University (CN)
Openalex Percentile: Top 4%
Human-Automation Interaction and Safety
7.32
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Driver-Centric Design: Empirical Strategies for Optimizing the Visualization of Driving Information on Vehicle Liquid Crystal Display Dashboards — Jin-Long Lin, Meng-Cong Zheng, et al. · IEEE Access (2025) | TGRS Research Map | TGRS