General Behavioral Impact of Smart System Warnings: A Case of Advanced Driving Assistance Systems
利用大型汽车公司的远程信息数据，研究了高级驾驶辅助系统（ADAS）警告对驾驶行为的影响，发现低紧急性的盲点检测警告减少急刹车和超速，而高紧急性的车道偏离和前方碰撞警告则增加这些行为，并影响碰撞率。
Various sensors embedded in smart products can now provide alerts and warnings to users. However, these alerts can also influence user general behavior. We evaluate the effect of advanced driving assistance systems (ADAS) warnings on general driving behavior using automotive telematics data from a large automotive company. We categorize ADAS systems in terms of the response urgency and theorize that less urgent alerts lead to deliberate learning (System 2), improving driving behavior, while highly urgent warnings trigger automatic responses (System 1), potentially leading to risk compensation and worsening driving behavior. Our results show that the presence of a blind spot detection warning, which is less urgent with no immediate action, reduces the daily number of hard braking (speeding) events by 6.76% (9.34%). However, lane departure and forward collision warnings, which are highly urgent and require immediate responses, increase the daily number of hard braking (speeding) events by 5.65% (5.34%). Additionally, we find that, over time, the positive (negative) impact of the blind spot detection (lane departure and forward collision) feature improves (worsens). Finally, we quantify that the presence of the blind spot detection feature decreases the collision rate by 2.17% (3.14%) through a reduction in hard braking (speeding) incidents. However, the presence of lane departure and forward collision features reduces the safety benefits of preventing collisions by 1.71% (1.66%) due to an increase in hard braking (speeding) events. Our results call for the need to integrate user behavior into the design of smart features such as ADAS and related services.