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Deceleration Assistance Mitigated the Trade-off Between Sense of Agency and Driving Performance
Wen Wen1, Sonmin Yun1, Atsushi Yamashita1
1Department of Precision Engineering, The University of Tokyo, Tokyo, Japan.
Driving assistance technology can maintain a driver's sense of agency and improve driving performance. This is achieved by ensuring the automated system aligns with the driver's intentions for smoother control.
Area of Science:
- Human-Computer Interaction
- Automotive Engineering
- Cognitive Psychology
Background:
- Driving assistance systems (DAS) are increasingly common in vehicles.
- While DAS enhances driving performance and reduces errors, drivers often report a diminished sense of agency.
- Maintaining driver agency is crucial for user acceptance and trust in automated systems.
Purpose of the Study:
- To investigate if driving assistance can preserve human sense of agency during critical deceleration events.
- To compare driver agency and performance in assisted versus manual deceleration scenarios.
- To explore the design principles for future driving assistance that balances automation with driver control.
Main Methods:
- Participants used a driving simulator to perform an emergency deceleration task.
- Two conditions were tested: manual deceleration and system-assisted deceleration (system initiated 100 ms after hazard detection).
- Participants rated their sense of agency and perceived driving performance post-task.
Main Results:
- Drivers reported a maintained sense of agency when using the driving assistance system.
- Driving performance, including reaction time and control smoothness, was significantly improved under assisted conditions.
- The assisted deceleration closely matched the drivers' intended control, albeit with enhanced speed and smoothness.
Conclusions:
- Driving assistance technology can be designed to maintain and even enhance the driver's sense of agency.
- A joint-control mode, where the system interprets and executes driver intentions effectively, is key.
- Findings inform the development of user-centric driving assistance systems that improve safety without compromising user experience.
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