Making roads safer: a vehicle blind spot alert system co-designed with end-users

更安全的 计算机科学 运输工程 盲点 计算机安全 汽车工程 工程类 人工智能
作者
Pedro Lisboa,Felipe Dos Santos,Herick Ribeiro,Pietro Campos,Luciana Zaina
标识
DOI:10.1145/3638067.3638085
摘要

The number of traffic accidents involving motorcycles has been increasing in Brazil recently. Many accidents are caused by drivers who do not see motorcycles approaching in the vehicle blind spots. Advanced Driver Assistance Systems (ADAS) installed in vehicles can be used to mitigate this problem. However, the development of ADASs often focuses on security issues and does not consider the user experience with the ADASs interface. In this paper, we present the design of an alerting system that warns drivers about collision risks when motorcycles are identified in vehicle blind spots. Our proposal alerts drivers by using visual and haptic interaction modes. The vehicle blind spot alert system was conceived in a co-design session with the participation of 9 end-users who produced 3 low-fidelity (lo-fi) prototypes. After, these lo-fi prototypes were analyzed and compiled generating a high-fidelity (hi-fi) prototype containing haptic and visual alerting features implemented and installed in a car for testing. The alert system was evaluated by 20 end-users concerning their experience with the different warning modes. The results showed that for both the visual and haptic modes, users could recognize and understand the alerts without employing a great effort in the information interpretation. This result reinforces the idea that ADASs should provide simple interpretative interfaces because drivers' interaction with these systems should be a secondary activity since their concentration must be on driving.
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