A Color-Contrast-Based XR Interface Design Study: Focusing on AI-Driven Hazard Detection Scenarios

Abstract: This study analyzes how a warning system UI centered on color contrast in XR interfaces can efficiently convey situational information to users, based on AI-driven hazard detection scenarios. With recent technological advancements, XR systems have become capable of detecting potentially threatening hazards through the use of real-time object recognition models such as YOLO. However, even when AI achieves high levels of accuracy, if such predictive information is not clearly presented to users, information awareness may be reduced when these systems are later commercialized as safety systems. To address this issue, this study proposes a color-contrast-based interface framework structured according to different levels of urgency within XR environments. A hypothetical XR system, ORION VISION, was developed, and extreme-environment hazard detection scenarios were established by integrating a HoloLens-based interface with YOLO technology.To verify the effectiveness of the proposed design framework, a user experiment was conducted with 20 participants in a HoloLens 2–based environment. Both quantitative data—including user reaction time and visibility evaluations—and qualitative data collected through interviews were gathered and analyzed. The experimental results indicate that higher levels of color contrast significantly reduced reaction time. In particular, red warning UIs that maintained high contrast in dark environments enabled users to clearly distinguish levels of risk and enhanced situational communication, thereby effectively forming a hierarchical structure of hazards. In contrast, repetitive warning alerts raised concerns regarding user fatigue, highlighting the importance of controlling alert frequency and intensity. This study demonstrates that color contrast in UI design is a key factor in enhancing situational awareness and the accuracy of information delivery in hazard prediction environments, and it presents practical guidelines for designing reliable and commercially viable UIs for XR safety systems.

Keywords: XR Interface, Color-contrast-based UI, AI-driven hazard detection, Luminance conditions, Speculative design

DOI: 10.54941/ahfe1007206

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