a Department of Communication & Media , University of Missouri-St. Louis.
b Department of Communication , University of Dayton.
Health Commun. 2017 Sep;32(9):1066-1075. doi: 10.1080/10410236.2016.1196639. Epub 2016 Aug 2.
This study examines the predictors of six distracted driving behaviors, and the survey data partially support Ajzen's (1991) Theory of Planned Behavior (TPB). The data suggest that the attitude variable predicted intention to engage in all six distracted driving behaviors (reading and sending text messages, making and answering cell phone calls, reading/viewing social media, and posting on social media while driving). Extending the model to include past experience and the variable perceived safety of technology yielded an improvement in the prediction of the distraction variables. Specifically, past experience predicted all six distracted driving behaviors, and the variable perceived safety of technology predicted intentions to read/view social media and intention to post on social media while driving. The study provides evidence for the importance of incorporating expanded variables into the original TPB model to predict cell phone use behaviors while driving, and it suggests that it is essential to tailor campaign materials for each specific cell phone use behavior to reduce distracted driving.
本研究考察了六种分心驾驶行为的预测因素,调查数据部分支持了 Ajzen(1991)的计划行为理论(TPB)。数据表明,态度变量预测了参与所有六种分心驾驶行为(阅读和发送短信、拨打和接听手机、阅读/查看社交媒体以及在驾驶时发布社交媒体)的意图。将模型扩展到包括过去的经验和感知技术安全性变量,可以提高对分心变量的预测能力。具体来说,过去的经验预测了所有六种分心驾驶行为,而感知技术的安全性变量预测了阅读/查看社交媒体的意图和在驾驶时发布社交媒体的意图。该研究为在原始 TPB 模型中纳入扩展变量以预测驾驶时使用手机的行为提供了证据,并表明针对每种特定的手机使用行为定制宣传材料以减少分心驾驶至关重要。