Highlights The TPB was significant when predicting both intention and behaviour Habit, mindfulness and cognitive capture were significant predictors of intention Intention was the only significant predictor of behaviour
Abstract Australian drivers aged 17–25 years are overrepresented in road crashes, with many crashes resulting from smartphone use. The current study, based on a prospective design and an extended TPB framework, predicted young drivers’ intentions to, and actual behaviour of, monitoring/reading social interactive technology via a smartphone while driving. An online survey at Time 1 (N = 167) assessed the TPB constructs of attitude, subjective norm and perceived behaviour control (PBC), and the additional factors of habit, mindfulness and cognitive capture. A hierarchical multiple regression analysis showed that the TPB constructs accounted for 76.4% in the variance of young drivers’ intentions. The extended model, which included habit, mindfulness and cognitive capture accounted for a significant 79% of the variance in intention, and these additional factors explained a significant amount of variance over and above the TPB constructs. The Time 2 survey (N = 95) assessed actual behaviour in relation to smartphone use in the one-week period between the Time 1 and 2 surveys. Results from a multiple regression analysis of Time 2 found that, as expected, intention was a significant predictor of the behaviour of monitoring/reading a smartphone while driving. The results support the TPB for predicting intention and actual behaviour in relation to monitoring/reading a smartphone while driving. The theoretical and practical implications of the current study are discussed as well as recommendations for future research.
Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour
2019-12-10
Article (Journal)
Electronic Resource
English
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