Hue4U: Real-Time Personalized Color Correction in Augmented Reality

September 08, 2025 Β· Declared Dead Β· πŸ› International Workshop on Sensor-based Activity Recognition and Interaction

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Authors Jingwen Qin, Semen Checherin, Yue Li, Berend-Jan van der Zwaag, Ozlem Durmaz-Incel arXiv ID 2509.06776 Category cs.HC: Human-Computer Interaction Cross-listed cs.MM Citations 0 Venue International Workshop on Sensor-based Activity Recognition and Interaction Last Checked 4 months ago
Abstract
Color Vision Deficiency (CVD) affects nearly 8 percent of men and 0.5 percent of women worldwide. Existing color-correction methods often rely on prior clinical diagnosis and static filtering, making them less effective for users with mild or moderate CVD. In this paper, we introduce Hue4U, a personalized, real-time color-correction system in augmented reality using consumer-grade Meta Quest headsets. Unlike previous methods, Hue4U requires no prior medical diagnosis and adapts to the user in real time. A user study with 10 participants showed notable improvements in their ability to distinguish colors. The results demonstrated large effect sizes (Cohen's d > 1.4), suggesting clinically meaningful gains for individuals with CVD. These findings highlight the potential of personalized AR interventions to improve visual accessibility and quality of life for people affected by CVD.
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