Driver's adaptive glance behavior to in-vehicle information systems

Area of Science:

• Human-Computer Interaction
• Transportation Safety
• Cognitive Psychology

Background:

• Behavioral adaptation to in-vehicle devices is known.
• Limited research exists on driver risk across varying driving demands.
• Understanding adaptation is crucial for developing safer automotive technologies.

Purpose of the Study:

• To investigate driver adaptation to in-vehicle devices over time.
• To analyze driver risk levels in different driving situations.
• To assess changes in eye glance behavior during device use.

Main Methods:

• A multi-day driving simulator study with 28 young drivers.
• Inclusion of text entry and reading tasks in varied traffic conditions.
• Application of cluster analysis for risk categorization and random coefficient models for behavioral analysis.

Main Results:

• Glance duration increased over time for text entry, but not reading.
• High-risk drivers exhibited longer eyes-off-road durations during text entry tasks, with this gap widening over time.
• Traffic conditions significantly influenced driver glance behavior.

Conclusions:

• Drivers may exhibit negative behavioral adaptation with increased familiarity with in-vehicle technology.
• Findings can inform the design of context-aware in-vehicle systems.
• Random coefficient models effectively estimate driver behavior with significant individual differences.