IVI human factors strategy

Ference, Jack · 1999 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

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Summary

This report, prepared by Mitretek for the U.S. Department of Transportation’s Intelligent Transportation Systems Joint Program Office, outlines the human factors (HF) strategy for the Intelligent Vehicle Initiative (IVI) as of 1999. The document addresses the need to systematically integrate human factors research into the development of vehicle-embedded safety technologies. It aims to clarify how HF studies have supported the IVI research plan throughout the systems engineering life cycle and to identify gaps or areas requiring intensified effort as new technologies are introduced. The analysis is structured around a "Compendium of Human Factors Research Projects Supporting the IVI," which categorizes nearly a decade of research funded by the Federal Highway Administration (FHWA) and the National Highway Traffic Safety Administration (NHTSA). The compendium classifies 208 entries into seven top-level categories: Advanced Travel Information Systems (ATIS), Automated Highway Systems (AHS), Collision Avoidance Systems (CAS), Vision Enhancement (VE), Drowsy Driver (DD) detection, Related Driver Behavior (RDB), and Driver Vehicle Interface (DVI). The report maps these categories against seven specific IVI problem areas: five types of crash avoidance (rear-end, lane change/merge, road departure, intersection, and vehicle stability) and two driver performance enhancements (vision enhancement and driver condition warning). Additionally, it assesses "Safety-Related Systems" such as route guidance, adaptive cruise control, cellular phones, and in-vehicle computing, focusing on potential safety degradation due to increased driver workload. Key findings indicate that human factors processes have been most mature for ATIS, CAS, and Driver Condition Warning, with the latter validating eyelid closure measures for fatigue detection. Conversely, Vision Enhancement has received less HF emphasis, partly due to the difficulty of designing for diverse visual abilities. The report highlights that while individual system designs have progressed, the integration of complex displays and controls remains largely unaddressed, with only a preliminary "pathfinder" study at Oak Ridge National Laboratory examining integrated versus non-integrated systems. The authors note that market forces have sometimes accelerated the deployment of technologies like cellular phones and in-vehicle computing before systematic HF methodologies were fully applied. The significance of this work lies in its recommendations for future IVI development. Mitretek advises treating the compendium as a living, online document updated annually. Crucially, the report argues that as safety systems multiply, the resulting task complexity demands a holistic, integrated approach to driver interface design. It suggests that integration issues, such as information overload and loss of situation awareness, must be addressed during early concept stages rather than waiting for design stabilization. The authors also propose considering adaptive automation strategies, where system functions dynamically shift based on conditions, to enhance driver safety and performance in increasingly automated vehicles.

Key finding

The integration of multiple in-vehicle information systems is currently in its initial stages, with a pathfinder study being undertaken to examine the benefits of integrated versus non-integrated displays.

Methodology

review

Provenance

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Topics

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• automation
• hud ar windshield
• crash reconstruction hf
• ehmi external hmi
• situational awareness
• automation complacency bias

Information type

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• Applied Guidance: design guidelines
• Methodological Resource: tool software
• Theoretical Contribution: conceptual framework