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When Do Drivers Interact with In-Vehicle Well-being Interventions? An Exploratory Analysis of a Longitudinal Study on
Kevin Koch1, Varun Mishra2, Shu Liu3
1University of St. Gallen, Switzerland.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
|February 18, 2022
Summary
This study explored when drivers engage with in-vehicle interventions for well-being in real-world driving. Findings reveal trip characteristics and driving behavior influence intervention interaction, suggesting optimized delivery strategies.
Area of Science:
- Human-Computer Interaction
- Transportation Psychology
- Digital Health
Background:
- In-vehicle interventions offer opportunities to enhance driver health and well-being during commutes.
- Previous research on in-vehicle interventions was limited to simulated or constrained driving environments.
- Understanding driver interaction with interventions in unconstrained, real-world conditions is crucial.
Purpose of the Study:
- To evaluate the timing and conditions under which drivers interact with in-vehicle interventions in unconstrained free-living driving.
- To identify factors influencing the initiation and cancellation of in-vehicle interventions.
- To assess the impact of interventions on driving behavior and identify characteristics that may negate effectiveness.
Main Methods:
- A two-month longitudinal study involving 10 participants and their daily driving needs.
- Delivery of two in-vehicle interventions aimed at improving affective well-being.
- Simultaneous recording of driving behavior and analysis of pre-trip and in-the-moment driving characteristics.
Main Results:
- Pre-trip factors (trip length, traffic, occupancy) and affective state influenced intervention initiation/cancellation.
- In-the-moment driving characteristics (road type, speed, braking) affected driver responsiveness.
- Specific driving behaviors were identified that "negated" intervention effectiveness.
- Interventions did not negatively impact driving behavior.
Conclusions:
- Driver interaction with in-vehicle interventions is significantly associated with trip context and driving behavior.
- Identifying "negative" driving characteristics can inform more effective intervention delivery.
- Recommendations are provided for optimizing intervention delivery to maximize responsiveness and minimize driver burden.
