Beyond user experience and technology acceptance: Criteria to select a technology for a road safety behavioural change intervention

Q3 Engineering
Daniel Vankov
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引用次数: 2

Abstract

Novel technologies, such as smartphones or virtual reality, are seen as attractive tools with high potential to trigger behavioral change. Therefore, they are embraced enthusiastically by both business and academia. Interventions using technology as tools can be expected to further increase their popularity in the near future. A large amount of contemporary research seems to focus on examining user experience and technology acceptance. Such a focus is a natural first step in understanding a novel technology. At the same time, much less is known about the actual effectiveness of novel technologies in interventions. This limited knowledge represents a potential challenge to researchers when deciding which particular technology example to choose for their work. This theoretical study proposes an informed approach to making that choice, particularly for road safety interventions. The approach is grounded in the Theory of Planned Behaviour. Criteria are suggested for initial technology impact evaluation, which should help researchers and practitioners compare different technology examples. Further criteria are touched upon in relation to practicalities around using technologies in interventions. The proposed framework may help future research of technology effectiveness by saving stakeholders’ time to decide which technology they should adopt and test.
超越用户体验和技术接受:选择道路安全行为改变干预技术的标准
智能手机或虚拟现实等新技术被视为极具吸引力的工具,具有引发行为改变的巨大潜力。因此,它们受到商界和学术界的热烈欢迎。使用技术作为工具的干预措施有望在不久的将来进一步普及。大量的当代研究似乎集中在检查用户体验和技术接受度。这样的关注是理解新技术的自然第一步。与此同时,人们对新技术在干预措施中的实际效果知之甚少。当研究人员决定为他们的工作选择哪种特定的技术示例时,这种有限的知识代表了一个潜在的挑战。这项理论研究提出了一种明智的方法来做出选择,特别是对于道路安全干预措施。这种方法以计划行为理论为基础。提出了初步技术影响评价的标准,有助于研究者和实践者比较不同的技术实例。进一步的标准涉及在干预措施中使用技术的实际性。提议的框架可以通过节省利益相关者决定他们应该采用和测试哪种技术的时间来帮助未来对技术有效性的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transactions on Transport Sciences
Transactions on Transport Sciences Environmental Science-Management, Monitoring, Policy and Law
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
13 weeks
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