Suddenly safe: Processing of conflicting feedback in assisted driving

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Automotive Engineering

Background:

• Operational anticipation is crucial for safe human-machine interaction.
• Assisted driving systems require understanding driver responses to feedback.
• The insular cortex plays a role in error detection and subjective safety.

Purpose of the Study:

• To introduce an experimental paradigm for assisted driving based on operational anticipation.
• To investigate the effects of different feedback types on driver safety and neural activity.

Main Methods:

• Developed a conceptual model of operational anticipation.
• Designed an experimental paradigm for assisted car driving.
• Conducted a pilot study assessing driver responses to feedback and measuring brain activity.

Main Results:

• Unpredicted negative outcomes significantly reduced the feeling of safety.
• Ambiguous intermediate feedback with positive outcomes did not reduce the feeling of safety.
• Heightened brain activations in the left anterior insular cortex were observed following negative outcomes, linked to error awareness.

Conclusions:

• Negative feedback, particularly when unpredicted, critically impacts driver safety perception in assisted driving.
• The left anterior insular cortex is involved in processing errors and updating safety assessments during assisted driving.
• Future research should explore nuanced feedback mechanisms to enhance driver trust and safety.