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驾驶员在主动和响应场景中的自我调节行为。

Drivers' self-regulatory behaviors in active and responsive scenarios.

作者信息

Zhang Yaping, Zhou Ronggang, Shi Yuhan

机构信息

School of Economics and Management, Beihang University, Beijing, China.

Key Laboratory of Complex System Analysis, Management and Decision (Beihang University), Ministry of Education, Beijing, China.

出版信息

Traffic Inj Prev. 2023;24(3):262-270. doi: 10.1080/15389588.2023.2178847. Epub 2023 Feb 28.

Abstract

OBJECTIVE

Drivers usually appear to self-regulate their driving behaviors in situations considered to be challenging, such as mobile phone-distracted driving. It is important to clarify how drivers self-regulate their actual behaviors. In addition, few studies investigated driver distraction in active and responsive scenarios. Therefore, the present study aimed to gain a better understanding of drivers' actual self-regulation of driving behaviors and phone use behaviors while mobile phone-distracted driving in active and responsive scenarios. The contribution of compensatory beliefs to self-regulation was also explored.

METHODS

This study was conducted using a 2 (mobile phone use behaviors: phone calling vs. WeChat messaging) × 2 (scenarios: active vs. responsive) within-group design. A total of 34 participants completed a driving simulation experiment. The dependent variables of drivers' driving behaviors, phone use behaviors, and physiological data were collected. Participants' compensatory belief was also measured.

RESULTS

The results showed that the speed reduction in the stages with WeChat messaging was significantly greater than that in the stages with phone calls, and the speed reduction in the responsive scenario was significantly greater than that in the active scenario. Participants would adopt relatively equal phone-use-related self-regulatory behaviors in active and responsive scenarios. Participants with higher compensatory beliefs had relatively greater speed reduction in most scenarios, but fewer phone-use-related self-regulatory behaviors. In addition, the respiratory rate could contribute to evaluating the changes in drivers' physiological status during phone calling-distracted driving.

CONCLUSIONS

Participants would self-regulate driving behaviors and phone use behaviors according to different distracted driving tasks and scenarios. The driving-related self-regulation in WeChat messaging scenarios and responsive scenarios was greater. There was a trend in the effect of compensatory beliefs on actual self-regulatory behaviors, which needs to be further verified in the future. This study contributes to the verification of the different actual driving-related and phone-use-related self-regulatory behavior of drivers in active and responsive mobile phone distracted driving scenarios.

摘要

目的

在诸如手机分心驾驶等被认为具有挑战性的情况下,驾驶员通常似乎会自我调节其驾驶行为。阐明驾驶员如何自我调节其实际行为很重要。此外,很少有研究在主动和响应场景中调查驾驶员分心情况。因此,本研究旨在更好地了解在主动和响应场景中手机分心驾驶时驾驶员对驾驶行为和手机使用行为的实际自我调节情况。还探讨了补偿性信念对自我调节的贡献。

方法

本研究采用2(手机使用行为:打电话与微信消息)×2(场景:主动与响应)组内设计。共有34名参与者完成了驾驶模拟实验。收集了驾驶员驾驶行为、手机使用行为和生理数据等因变量。还测量了参与者的补偿性信念。

结果

结果表明,微信消息阶段的速度降低显著大于打电话阶段,响应场景中的速度降低显著大于主动场景。参与者在主动和响应场景中会采取相对平等的与手机使用相关的自我调节行为。补偿性信念较高的参与者在大多数场景中速度降低相对较大,但与手机使用相关的自我调节行为较少。此外,呼吸频率有助于评估打电话分心驾驶时驾驶员生理状态的变化。

结论

参与者会根据不同的分心驾驶任务和场景自我调节驾驶行为和手机使用行为。微信消息场景和响应场景中与驾驶相关的自我调节更强。补偿性信念对实际自我调节行为的影响存在一种趋势,未来需要进一步验证。本研究有助于验证在主动和响应手机分心驾驶场景中驾驶员不同的实际与驾驶相关和与手机使用相关的自我调节行为。

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