Driven to Distraction: Exploring Mind Wandering During a Virtual Reality City Drive
Authors
Research has characterized mind-wandering as humans' natural mental state, with moments of task-focused attention being the exception. With this framing, mind-wandering while driving likely occurs more than generally acknowledged, and seems poised to increase with higher levels of automation. This in turn may have adverse effects on drivers' abilities to regain situation awareness or resume control when needed. Of the prior work on detecting mind-wandering while driving, none focuses on automation or complex urban environments. We ran an exploratory study (N=14) of an automated drive through New York City in a two-dimensional virtual reality context, focusing on physiological measures such as gaze distribution, pupillometry, and heart rate. We also explored how drivers missing critical events may be a potential new measure. Results varied between focused and mind-wandering mental states and between moving and stopped driving contexts. These observations are an initial step toward understanding mind-wandering across diverse driving scenarios.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 80%
Trust and Visual Focus in Automated Vehicles: A Comparative Study of Beginner and Experienced Drivers
CHI '25· Automated Driving Interface & Takeover Design +1
- 60%
How to Design Valid Simulator Studies for Investigating User Experience in Automated Driving - Review and Hands-On Considerations
AutoUI '18· Automated Driving Interface & Takeover Design
- 60%
P1 - Design Guidelines for Reliability Communication in Autonomous Vehicles
AutoUI '18· Automated Driving Interface & Takeover Design
- 60%
P3 - How Usability Can Save the Day – Methodological Considerations for Making Automated Driving a Success Story
AutoUI '18· Automated Driving Interface & Takeover Design
- 60%
A Longitudinal Simulator Study to Explore Drivers’ Behaviour in Level 3 Automated Vehicles
AutoUI '19· Automated Driving Interface & Takeover Design
- 60%
Long-Term Evolution of Driver Visual Attention during Automated Driving in Real-Traffic: Investigating the Influence of Mental Model and Dynamic Learned Trust
AutoUI '25· Automated Driving Interface & Takeover Design +1
Based on Jaccard similarity of research subtopics & professions (≥60%)