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Testing a structural model of young driver willingness to uptake Smartphone Driver Support Systems

机译:测试年轻驾驶员愿意采用智能手机驾驶员支持系统的结构模型

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摘要

There is growing interest in the potential value of using phone applications that can monitor driver behaviour (Smartphone Driver Support Systems, 'SDSSs') in mitigating risky driving by young people. However, their value in this regard will only be realised if young people are willing to use this technology. This paper reports the findings of a study in which a novel structural model of willingness to use SDSSs was tested. Grounded in the driver monitoring and Technology Acceptance (TA) research literature, the model incorporates the perceived risks and gains associated with potential SDSS usage and additional social cognitive factors, including perceived usability and social influences. A total of 333 smartphone users, aged 18-24, with full Irish driving licenses completed an online questionnaire examining willingness or Behavioural Intention (BI) to uptake a SDSS. Following exploratory and confirmatory factor analyses, structural equation modelling indicated that perceived gains and social influence factors had significant direct effects on BI. Perceived risks and social influence also had significant indirect effects on BI, as mediated by perceived gains. Overall, this model accounted for 72.5% of the variance in willingness to uptake SDSSs. Multi-group structural models highlighted invariance of effects across gender, high and low risk drivers, and those likely or unlikely to adopt novel phone app technologies. These findings have implications for our understanding of the willingness of young drivers to adopt and use SDSSs, and highlight potential factors that could be targeted in behavioural change interventions seeking to improve usage rates. (C) 2015 Elsevier Ltd. All rights reserved.
机译:人们越来越关注使用可以监视驾驶员行为的电话应用程序(智能电话驾驶员支持系统,“ SDSS”)的潜在价值,以减轻年轻人的危险驾驶。但是,只有在年轻人愿意使用这项技术的情况下,他们的价值才会实现。本文报告了一项研究的发现,其中对使用SDSS的意愿的新型结构模型进行了测试。该模型基于驾驶员监控和技术验收(TA)研究文献,结合了与潜在的SDSS使用以及其他社会认知因素(包括感知的可用性和社会影响力)相关的感知风险和收益。共有333位年龄在18-24岁之间,拥有完整的爱尔兰驾驶执照的智能手机用户,完成了一项在线问卷调查,以调查是否愿意接受SDSS或行为意图(BI)。在对探索性和确认性因素进行分析之后,结构方程模型表明,感知收益和社会影响因素对商业智能具有显着的直接影响。感知风险和社会影响力也对BI产生了重大的间接影响,如感知收益所介导的。总体而言,该模型占SDSD吸收意愿差异的72.5%。多组结构模型强调了跨性别,高风险和低风险驱动因素以及可能或不太可能采用新颖的电话应用程序技术的影响的不变性。这些发现对我们对年轻驾驶员采用和使用SDSS的意愿的理解具有启示意义,并着重指出了可能在旨在提高使用率的行为改变干预措施中针对的潜在因素。 (C)2015 Elsevier Ltd.保留所有权利。

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