Cognitive Ergonomics in Intelligent Systems: Screen Analysis and Design Proposal for Reducing Mental Load in the Design of User Interfaces of Autonomous Vehicles

Abstract

This study aims to reduce the mental load of drivers and increase driving safety by designing user interfaces in autonomous vehicles according to cognitive ergonomics principles. Today, autonomous vehicles offer a usage scenario where the driver is only expected to intervene in critical situations and is in the role of observer or guest. In the design of user interfaces in these vehicles, cognitive ergonomics principles are of great importance and play a critical role to reduce the mental load of the driver and increase driving safety. In existing AR-based user interfaces, it is proposed to add new features to improve driving safety. In particular, detecting driver fatigue and displaying this information in the user interface will enable the driver to monitor the fatigue level and take necessary precautions. In this study, a design proposal for displaying driver fatigue level in an AR-based user interface is presented. In addition to improving driving safety, this proposal will contribute to a comfortable driving experience, personal health and well-being, analysis of driving habits and legal compliance.

Keywords

• autonomous vehicles
• cognitive ergonomics
• intelligent systems
• interface design

References

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