The Impact of Color Combinations on Recognition Efficiency and Visual Fatigue in Industrial Alarm Systems
Abstract
This study delved deeply into the influence of foreground and background color combinations on recognition efficiency and visual load in industrial alarm systems. By conducting experiments with 15 participants and 54 color combinations, descriptive statistical analysis indicated that color combinations significantly affected the reaction time of visual recognition. Foreground colors, particularly those with higher saturation and luminance, played a crucial role in promoting visual recognition, while the impact of background colors was relatively less pronounced. A two - way ANOVA was performed, revealing that foreground color was a dominant factor influencing reaction time, while the background color and their interaction had relatively minor significant effects. The research findings can be applied to optimize the color design of industrial alarm systems, thus enhancing information recognition efficiency and reducing the probability of operator errors. Moreover, these results have implications for other visual - information - based fields. Future research could explore long - term effects and more complex color - related factors.
Keywords: Alarm system, Color combination, Recognition efficiency, Visual fatigue, Saturation, Brightness
DOI: 10.54941/ahfe1006254
Cite this paper
More from this volume
- Critical Foresight of Human-Computer Interaction: A Review on Methods to Assess Ethical Risks and Side-Effects of Emerging Technologies
- Promoting Healthy Eating by Design: Opportunities for Meaningful Persuasive Technologies
- Exploring the impact of AI-generated content on branded IP character design and user experience
- The Impact of Visual Elements and Design Principles of Design Systems on Design Decisions
- Real-Time Object Recognition with Neural Networks in Public Transport – Determining the Utilization of Vehicles using Existing Camera Systems
- Accelerating Legacy Code Migration with Artificial Intelligence
- Design Evaluation System of AI-Generated Content in the Industrial Design of Construction Machinery
- EEG-Driven Personalized Visual Communication
- Evaluating Map Orientation Methods in Smartphone Applications by Analyzing Search Time Through a Virtual Environment Experiment
- Optimizing Human-Machine Interfaces for Neuroergonomics: Cognitive Workload and Performance in sUAS Operations
- Exploring Virtual Keyboards for Text Entry in Virtual Reality
- The application of an RGB-D camera for monitoring the allocation of visual attention among high-speed train drivers


AHFE Open Access