Short answer
Designers of automated driving systems must prioritize safety by developing systems that actively manage driver attention and ensure reliable takeover procedures, rather than assuming drivers will remain vigilant.
- Field
- Human Factors
- Source
- Accident Analysis & Prevention (2025)
- Method
- Systematic Literature Review
- Evidence
- Strong effect
Increased driver drowsiness, often exacerbated by prolonged use of automated driving systems and engagement in non-driving tasks, leads to slower reaction times and poorer performance when a human driver must retake control. This human factors research insight is drawn from a 2025 study published in Accident Analysis & Prevention. Using Systematic literature review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers of automated driving systems must prioritize safety by developing systems that actively manage driver attention and ensure reliable takeover procedures, rather than assuming drivers will remain vigilant.
Driver Drowsiness Significantly Impairs Takeover Performance in Automated Vehicles
Increased driver drowsiness, often exacerbated by prolonged use of automated driving systems and engagement in non-driving tasks, leads to slower reaction times and poorer performance when a human driver must retake control.
Accident Analysis & Prevention · 2025
Key Findings
- 01Driver drowsiness increases with the duration of automated driving and higher levels of automation.
- 02Engaging in non-driving related tasks (NDRTs) can reduce subjective and physiological signs of drowsiness but negatively impacts takeover performance.
- 03Drowsiness leads to increased reaction times and reduced effectiveness during manual takeovers.
Application
Design takeaway
Designers of automated driving systems must prioritize safety by developing systems that actively manage driver attention and ensure reliable takeover procedures, rather than assuming drivers will remain vigilant.
How to apply
When designing or evaluating automated driving features, incorporate driver monitoring systems that detect drowsiness and implement alerts or interventions to ensure safe takeover. Consider how non-driving tasks might be managed or limited during critical phases of automation.
Project actions
- 01When researching user interfaces for automated systems, consider how to keep drivers alert or how to ensure safe transitions.
- 02Investigate physiological or behavioural indicators of drowsiness that could be integrated into a design.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive literature search adhering to PRISMA guidelines.
- +Inclusion of both recent and prior relevant studies for a thorough overview.
Limitations
It can be difficult to accurately measure drowsiness in a controlled setting, and ethical considerations limit the extent to which participants can be made genuinely drowsy.
Reliability & validity
The reliability of findings is strengthened by the systematic review methodology and the inclusion of multiple studies. Validity is supported by the focus on controlled experimental designs. However, the reliance on simulated environments may limit external validity.
Think critically
Given that non-driving tasks reduce drowsiness but worsen takeover performance, how can automated systems be designed to balance driver engagement with the need for situational awareness during critical takeover events?
Design Principles
"Automated systems should be designed to proactively manage human-system interaction, especially during critical transitions of control, accounting for human physiological and psychological states."
As vehicle automation becomes more prevalent, understanding the human factors involved in the transition of control is critical for safety. This research highlights a significant risk: drivers may become less attentive and slower to react when automation fails or requires human intervention, directly impacting the safety of automated driving systems.
What This Means for Your Design
When cars drive themselves for a long time, drivers get sleepy. If the car then needs the driver to take over, the sleepy driver will be much slower to react, which is dangerous.
How to use in your project
- 1.Reference this study when discussing the human factors challenges of implementing automation and the need for careful consideration of driver states in your design process.
Add to My Project
Quick Cite
Paragraph starter
The integration of automated driving systems necessitates a thorough understanding of human factors, particularly driver drowsiness. Research indicates that prolonged use of automation, especially at higher levels, significantly increases driver drowsiness, which in turn impairs takeover performance. Studies show that engaging in non-driving related tasks, while potentially alleviating subjective feelings of tiredness, leads to detrimental effects on reaction times and overall takeover effectiveness. Therefore, any design incorporating automation must include robust strategies for monitoring driver alertness and ensuring safe, timely transitions of control.
Source
Accident Analysis & Prevention
Exploring the effect of driver drowsiness on takeover performance during automated driving: An updated literature review
journal · 2025
View sourceQuestions About This Research
- What does the research say about driver drowsiness significantly impairs takeover performance in automated vehicles?
- Designers of automated driving systems must prioritize safety by developing systems that actively manage driver attention and ensure reliable takeover procedures, rather than assuming drivers will remain vigilant. Evidence: Accident Analysis & Prevention (2025).
- Why does "Driver Drowsiness Significantly Impairs Takeover Performance in Automated Vehicles" matter for design?
- As vehicle automation becomes more prevalent, understanding the human factors involved in the transition of control is critical for safety. This research highlights a significant risk: drivers may become less attentive and slower to react when automation fails or requires human intervention, directly impacting the safety of automated driving systems.
- How can designers apply this research?
- Designers of automated driving systems must prioritize safety by developing systems that actively manage driver attention and ensure reliable takeover procedures, rather than assuming drivers will remain vigilant.
- What were the main findings?
- Driver drowsiness increases with the duration of automated driving and higher levels of automation.. Engaging in non-driving related tasks (NDRTs) can reduce subjective and physiological signs of drowsiness but negatively impacts takeover performance.. Drowsiness leads to increased reaction times and reduced effectiveness during manual takeovers.
- What research method was used?
- Systematic Literature Review.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2025 journal from Accident Analysis & Prevention.
- What should I do differently in my next project?
- When designing or evaluating automated driving features, incorporate driver monitoring systems that detect drowsiness and implement alerts or interventions to ensure safe takeover. Consider how non-driving tasks might be managed or limited during critical phases of automation.
- What are the limitations?
- The review primarily relies on simulated environments, and findings may not perfectly translate to real-world driving conditions. The definition and measurement of drowsiness and takeover performance can vary across studies.