Eyes on the road: brain computer interfaces and cognitive distraction in traffic

Area of Science:

• Neurotechnology
• Human-Computer Interaction
• Transportation Safety

Background:

• Wearable neurotechnology, including brain-computer interfaces (BCIs), is advancing rapidly, offering cognitive insights and hands-free control.
• Increasing accessibility and affordability suggest BCIs will become commonplace, impacting daily life and specific sectors like transportation.
• Attention is a scarce resource, making innovations that affect focus, such as in driving and cycling, critical to evaluate.

Purpose of the Study:

• To analyze the dual risks associated with the integration of brain-computer interfaces (BCIs) into traffic environments.
• To highlight the potential for increased cognitive load and distraction compared to current hands-free devices.
• To address the challenges in visually detecting and regulating BCI use in transportation for safety and privacy.

Main Methods:

• Literature review and risk analysis of emerging wearable neurotechnology.
• Comparative assessment of cognitive load and distraction potential between BCIs and existing hands-free devices.
• Exploration of detection and regulation challenges for BCI use in public spaces, specifically traffic.

Main Results:

• BCI devices may intensify cognitive human-technology interaction, potentially exceeding the distraction levels of current hands-free devices.
• BCI use in traffic presents significant challenges for visual detection by law enforcement and regulation.
• Preventing misuse of BCIs without compromising user privacy and integrity is a complex issue.

Conclusions:

• The widespread adoption of BCIs in traffic necessitates proactive anticipation by researchers, engineers, and policymakers.
• Ensuring road safety requires addressing the unique risks of cognitive load, detectability, and regulation of BCI technology.
• A balanced approach is needed to harness BCI benefits while mitigating potential dangers to road users.