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Effectiveness and driver acceptance of a semi-autonomous forward obstacle collision avoidance system
Makoto Itoh1, Tatsuya Horikome, Toshiyuki Inagaki
1Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan. itoh@risk.tsukuba.ac.jp
Applied Ergonomics
|March 5, 2013
Summary
This study introduces a semi-autonomous collision avoidance system that assists drivers by steering during emergencies. The system enhances safety and is accepted by drivers, promoting human-centered automation.
Area of Science:
- Automotive Engineering
- Human-Computer Interaction
- Road Safety
Background:
- Road collisions involving vehicles, pedestrians, and objects remain a significant safety concern.
- Existing systems often require full driver control or offer full automation, impacting user acceptance.
- Human-centered automation principles emphasize driver involvement in critical decisions.
Purpose of the Study:
- To propose and evaluate a semi-autonomous collision avoidance system.
- To assess the system's effectiveness in improving safety during emergency situations.
- To investigate driver acceptance of a system that partially automates steering.
Main Methods:
- A medium-fidelity driving simulator was utilized for experimental testing.
- The system was designed to engage steering assistance when the driver brakes, indicating avoidance intent.
- Driver performance and acceptance were measured in simulated emergency scenarios.
Main Results:
- The semi-autonomous system significantly improved safety in emergency situations.
- Drivers accepted the system's partial automation, particularly its steering assistance.
- The system demonstrated effectiveness in preventing collisions without compromising driver control.
Conclusions:
- The proposed semi-autonomous collision avoidance system enhances road safety.
- Driver acceptance is high for systems that blend automation with human decision-making.
- This approach offers a viable solution for reducing vehicle-related accidents.
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