In-vehicle nudging for increased Adaptive Cruise Control use: a field study

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pär Gustavsson, Mikael Ljung Aust
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Abstract

Close following to lead vehicles is associated with increased risk of rear-end crashes in road traffic. One way to reduce instances of close following is through increased use of the Advanced Driver Assistance System (ADAS) Adaptive Cruise Control (ACC), which is designed to adjust vehicle speed to maintain a safe time headway. Since the activation of ACC is driver-initiated, there is a need to influence the propensity of drivers to use the function. This research aimed to explore whether in-vehicle nudging interventions could be effective for this purpose. A field trial was conducted to consecutively assess the effects of two nudges on drivers’ utilization of ACC, compared to baseline usage. Exposing the participants (n = 49) to the first ambient design nudge resulted in a 46% increase in ACC usage on average. Following the introduction of the second nudge (a competitive leaderboard nudge), the average increase among participants (n = 48) during the complete treatment period reached 61%. The changes in ACC utilization varied between individual drivers, highlighting the need to monitor behavioral outcomes of nudges and adapt them when needed. In conclusion, this research shows that utilizing in-vehicle nudging is a promising approach to increase the use of vehicle functions contributing to improved traffic safety.

Abstract Image

通过车内提示提高自适应巡航控制系统的使用率:一项实地研究
在道路交通中,紧跟前方车辆会增加追尾事故的风险。减少近距离跟车的方法之一是更多地使用高级驾驶员辅助系统(ADAS)的自适应巡航控制系统(ACC),该系统旨在调整车速以保持安全的车距。由于自适应巡航控制系统的启动是由驾驶员发起的,因此有必要对驾驶员使用该功能的倾向性施加影响。本研究旨在探讨车内提示干预措施能否有效实现这一目的。研究人员进行了一次实地试验,连续评估了与基线使用情况相比,两种暗示措施对驾驶员使用自动驾驶辅助系统的影响。让参与者(49 人)接触第一个环境设计提示后,自动驾驶辅助系统的使用率平均提高了 46%。在引入第二个提示(竞争性排行榜提示)后,在整个治疗期间,参与者(人数=48)的平均增幅达到 61%。不同驾驶员使用自动驾驶辅助系统的变化各不相同,这说明有必要对暗示的行为结果进行监测,并在必要时对其进行调整。总之,这项研究表明,利用车内诱导是提高车辆功能使用率的一种可行方法,有助于改善交通安全。
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来源期刊
Journal on Multimodal User Interfaces
Journal on Multimodal User Interfaces COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
6.90
自引率
3.40%
发文量
12
审稿时长
>12 weeks
期刊介绍: The Journal of Multimodal User Interfaces publishes work in the design, implementation and evaluation of multimodal interfaces. Research in the domain of multimodal interaction is by its very essence a multidisciplinary area involving several fields including signal processing, human-machine interaction, computer science, cognitive science and ergonomics. This journal focuses on multimodal interfaces involving advanced modalities, several modalities and their fusion, user-centric design, usability and architectural considerations. Use cases and descriptions of specific application areas are welcome including for example e-learning, assistance, serious games, affective and social computing, interaction with avatars and robots.
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