情境敏感型分心警告对驾驶员使用和接受智能手机的影响:一项长期自然实地研究

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Tuomo Kujala , Hilkka Grahn , Jakke Mäkelä , Johanna Silvennoinen , Timo Tokkonen
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引用次数: 0

摘要

驾驶员因使用智能手机而分心是造成交通事故的主要原因。对情境敏感的驾驶员(注意力不集中)监测和警告系统可能会降低相关风险。然而,有关此类系统效果的自然研究还很少。本文通过一个基于智能手机的情境敏感分心警告系统,研究了情境敏感在注意力监测中的实用性。警告基于驾驶员的手机使用情况和即将到来的交通环境对注意力的要求。在进行了为期 12 周的对照(关闭警告)和 12 周的干预(开启警告)的主体内自然研究后,分析了该系统对 26 名重度智能手机用户的手机使用和接受程度的影响。该系统降低了驾驶员在预先定义为需要高度关注的提醒区域触摸智能手机的几率。与预期相反,该系统在城市道路环境中没有任何效果。驾驶员表示,由于使用了该系统,他们更加注意交通情况,而且警告即使令人讨厌,也是可以接受和有用的。类似系统的安全效果有待进一步研究。由于没有收集眼动跟踪或驾驶性能方面的测量数据,因此是否真的对参与者的注意力产生了积极影响还值得怀疑。不过,研究结果表明,(注意力不集中)警告系统可能会受益于根据即将到来的驾驶需求对警告进行的调整。这些研究结果可用于开发积极主动、对情境敏感的(注意力不集中)监测和分心缓解系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of context-sensitive distraction warnings on drivers’ smartphone use and acceptance: A long-term naturalistic field study

Driver distraction by smartphone use is a major contributor in traffic accidents. Context-sensitive driver (in)attention monitoring and warning systems might mitigate the associated risks. However, few naturalistic studies are yet available on the effects of such systems. In this paper, utility of context-sensitivity in inattention monitoring was studied by a smartphone-based context-sensitive distraction warning system. The warnings were based on driver's phone use and the attentional demands of the upcoming traffic environment. The system's effects on 26 heavy smartphone users’ phone usage and acceptance were analyzed after a within-subject naturalistic study with 12 weeks of control (warnings off) and 12 weeks of interventions (warnings on). The system decreased odds that the drivers would touch their smartphones in reminder areas that were defined a priori as high demanding for attention. Against expectations, the system had no effect in urban road environments. The drivers reported that they had paid more attention to traffic because of the system and that the warnings were acceptable and useful, even if annoying. Similar systems’ safety effects should be further studied. No eye-tracking or driving performance measures were collected and thereby it is questionable if there was a true positive effect on participants’ attention. However, the findings suggest that (in)attention warning systems might benefit from adaptation of the warnings to the upcoming driving demands. The findings can be utilized for the development of proactive and context-sensitive (in)attention monitoring and distraction mitigation systems.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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