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Updated: May 12, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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In full-touch HMI mode: How does car-following pressure, task complexity, and speed affect driver's visual

Kunchen Li1, Menglu Gu2, Wei Yuan2

  • 1School of Automobile, Chang'an University, Xi'an 710018, China; Department of Transportation Planning and Engineering, National Technical University of Athens, Athens 15773, Greece.

Accident; Analysis and Prevention
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PubMed
Summary
This summary is machine-generated.

Drivers

Keywords:
Car-followingDriving distractionFull-touch HMIGlance metricsTouchscreen interactionsVisual distraction characteristics

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Area of Science:

  • Human-Computer Interaction
  • Automotive Safety
  • Cognitive Psychology

Background:

  • Full-touch Human-Machine Interaction (HMI) systems in intelligent vehicles may increase driver visual distraction.
  • Understanding visual distraction is crucial for ensuring driver safety in automated driving environments.

Purpose of the Study:

  • To investigate how interaction tasks and traffic situations affect drivers' visual distraction characteristics in full-touch HMI.
  • To analyze driver gaze behavior adaptation under varying driving demands.

Main Methods:

  • A realistic car-following situation was simulated in both real-road and driving simulator experiments.
  • Fifty participants performed typical HMI tasks (e.g., climate control, calling contacts).
  • Visual distraction was measured by total off-road glance duration, number of glances, and mean glance duration.

Main Results:

  • Mean off-road glance duration decreased by 21.3% under car-following pressure, but was not affected by task type.
  • Complex interaction tasks increased visual attention demand.
  • Higher speeds led to shorter total off-road glance duration, with more, shorter glances.

Conclusions:

  • Car-following pressure significantly influences mean off-road glance duration, while task complexity impacts visual attention demand.
  • Drivers adapt their gaze behavior by increasing glance frequency and decreasing glance duration at higher speeds.
  • Findings offer insights into HMI design and driver safety recommendations for intelligent vehicles.