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Article

Optimizing HUD-EVS Readability: Effects of Hue, Saturation and Lightness on Information Recognition

School of Software, Minhang Campus, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China
Multimodal Technol. Interact. 2025, 9(5), 46; https://doi.org/10.3390/mti9050046
Submission received: 24 March 2025 / Revised: 29 April 2025 / Accepted: 8 May 2025 / Published: 14 May 2025

Abstract

Enhanced Vision System (EVS) offers a display advantage that conventional devices lack, enabling interface information to be overlaid on real-world imagery. However, information overload, especially in complex environments, can reduce the recognizability of important information and impair decision-making. This study investigates a dual color-coding strategy to optimize the recognizability of Primary Information (PI) and Secondary Information (SI) in Head-Up Display–Enhanced Vision System (HUD-EVS) against complex backgrounds. The results show that adjusting the hue, saturation, and lightness of SI affects the recognizability of both PI and SI. Specifically, certain saturation (20% or 80%) and lightness (60%) combinations should be avoided to ensure PI prominence and maintain sufficient recognizability for SI. These findings provide insights for designing color-coding strategies for EVS, enhancing the recognizability of information on mobile devices.
Keywords: Enhanced Vision System; color-coding; Landolt-C paradigm; information hierarchy Enhanced Vision System; color-coding; Landolt-C paradigm; information hierarchy

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MDPI and ACS Style

Qiu, X. Optimizing HUD-EVS Readability: Effects of Hue, Saturation and Lightness on Information Recognition. Multimodal Technol. Interact. 2025, 9, 46. https://doi.org/10.3390/mti9050046

AMA Style

Qiu X. Optimizing HUD-EVS Readability: Effects of Hue, Saturation and Lightness on Information Recognition. Multimodal Technologies and Interaction. 2025; 9(5):46. https://doi.org/10.3390/mti9050046

Chicago/Turabian Style

Qiu, Xuyi. 2025. "Optimizing HUD-EVS Readability: Effects of Hue, Saturation and Lightness on Information Recognition" Multimodal Technologies and Interaction 9, no. 5: 46. https://doi.org/10.3390/mti9050046

APA Style

Qiu, X. (2025). Optimizing HUD-EVS Readability: Effects of Hue, Saturation and Lightness on Information Recognition. Multimodal Technologies and Interaction, 9(5), 46. https://doi.org/10.3390/mti9050046

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