Behavioural impacts of Advanced Driver Assistance Systems–an overview

Brookhuis, Karel; de Waard, Dick; Janssen, Wiel H. · 2019 · OpenAlex-citations

DOI: 10.18757/ejtir.2001.1.3.3667

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This overview paper examines the behavioral impacts of Advanced Driver Assistance Systems (ADAS), addressing the tension between the potential safety benefits of automation and the psychological risks associated with changing the nature of the driving task. The research is motivated by the high incidence of traffic accidents caused by human error, such as fatigue, inattention, and loss of alertness, which account for approximately 90% of accidents. While ADAS aims to reduce these errors and enhance traffic efficiency, the authors argue that shifting the driver’s role from active control to supervision introduces new hazards, including behavioral adaptation and system complacency. The paper synthesizes existing literature and project reports from initiatives such as Prometheus, DRIVE, and SAVE, rather than presenting new experimental data. It analyzes the history of ADAS development, the functionality of various systems (from advisory to fully automated), and the human factors involved in their acceptance and use. The authors review studies on driver behavior, workload, and acceptance to identify potential adverse effects, such as diverted attention, increased reaction times during monitoring, and skill degradation. Key findings indicate that while ADAS can improve safety and efficiency, it often leads to unintended behavioral consequences. Automation may increase workload due to the stress of prolonged monitoring and the difficulty of detecting system malfunctions. Drivers may experience "complacency," characterized by excessive reliance on the system and slower reaction times to failure cues. Furthermore, behavioral adaptation can result in poor lane control and failure to yield, particularly with systems like Autonomous Intelligent Cruise Control. Acceptance of ADAS is also complex; drivers generally prefer advisory systems over those that take direct control, though they may accept automated take-over in emergency situations. The authors note that false alarms and a lack of clear benefits significantly hinder user acceptance. The significance of this work lies in its warning that technical feasibility does not guarantee safety or acceptance. The authors conclude that for ADAS to be successfully implemented, systems must be fail-safe, and behavioral effects must be rigorously tested before marketing. They emphasize the need for adaptive interfaces that dynamically allocate tasks to maintain appropriate driver workload and alertness. Ultimately, widespread adoption depends on demonstrating clear safety benefits, ensuring reliability, and establishing legal frameworks for liability, alongside addressing the psychological challenges of human-machine interaction.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• adas effectiveness