Factors influencing intentions to text while driving among Polish drivers

Previous research has found that using a mobile phone while driving has a detrimental effect on driver safety and performance. The present study used the Theory of Planned Behaviour (TPB) to examine a number of factors thought to be related to intentions to send or read text messages while driving. A total of 298 Polish drivers completed a survey that included measures of the TPB components related to intentions to send or read text messages in four different scenarios. The scenarios differed according to whether or not the drivers were waiting at traffic lights or travelling at 100 km/h and according to whether or not they were under time pressure. The research found that Attitudes and Perceived Behavioural Control were positive predictors of general intentions to use a mobile phone while driving. Similarly, Attitudes consistently predicted intentions to send and read text messages across the four scenarios. The findings of this study could be utilised for developing an educational campaign aimed at promoting more positive attitudes toward road safety and at reducing intentions to use mobile phones while driving.     

Predicting intentions to text and call while driving using the theory of planned behaviour

There is extensive evidence that using a mobile phone while driving causes degradation in driving performance, and thereby results in reduced safety on the road. The present study examined intentions to use mobile phones while driving using the Theory of Planned Behaviour (TPB). A total of 212 Ukrainian drivers (mean age = 35 years SD = 10 years; males = 82%) completed a survey that included measures of the TPB components related to intentions to send or read text messages or to make or receive handheld phone calls across two different scenarios; one where they were running late, and the other when they were not in a hurry. Measures of the frequency of mobile phone use were also collected. The results showed that 63% of the sample reported using a mobile phone while driving at least daily, with the most frequent types of usage being making and answering a phone call with a handheld device. The most consistent predictor of intentions to interact with a mobile phone while driving was having a positive attitude towards doing so. Perceived behavioural control was also significantly and positively associated with mobile phone use while driving, but only a small number of associations were found with subjective norms. Our results suggest that intentions to interact with mobile phones while driving may be context specific.     

Young driving learners’ intention to use a handheld or hands-free mobile phone when driving

This paper presents a survey investigating young driving learners’ intention to use a handheld or hands-free mobile phone when driving. A sample of 164 young driving learners completed a questionnaire based on the theory of planned behavior (TPB), which measured people’s intentions to use mobile phone while driving in handheld condition or hands-free condition, along with their attitudes towards the behavior, subjective norms, perceived behavioral control. The regression analysis models revealed that the TPB was able to explain 43% and 48% variance in hands-free mobile phone use intention and handheld mobile phone use intention, respectively, with perceived behavioral control emerging as the strongest predictor. In addition, TPB components, usage frequency and perceived risk were more dependent on gender than age. These results have several theoretical and practical implications. In particular, interventions should emphasize on the risk of hands-free mobile phone use when driving for young drivers, especially for young male drivers.     

Evidence that implementation intentions reduce drivers’ use of mobile phones while driving

Implementation intentions are IF-THEN plans that have the potential to reduce mobile phone use while driving and thus contribute towards the prevention of road traffic crashes. We tested whether an intervention, designed to promote the formation of implementation intentions, could reduce drivers’ use of mobile phones. A randomized controlled design was used. The participants (N = 136) were randomised to an implementation intention or a control condition. Self-report questionnaires were administered to all participants at both pre- and one-month post-intervention to measure the use of mobile phones while driving, goal intentions and the theoretically derived motivational pre-cursors of goal intentions (attitudes, subjective norm and perceived behavioural control). Immediately following the pre-intervention questionnaire, the participants in the implementation intention condition (n = 67) were given a volitional help sheet, which asked them to form implementation intentions by specifying target driving situations that tempted them the most to use a mobile phone and linking them with goal-directed responses that could be used to resist the temptation. The participants in the control condition (n = 69) were asked to specify target situations that tempted them the most to use a mobile phone while driving and to generally try to avoid using a mobile phone in those situations. One-month post-intervention, the participants in the implementation intention condition reported using a mobile phone less often while driving in their specified target driving situations than did the participants in the control condition. As expected, no differences were found between the conditions in the reported frequency of mobile phone use in unspecified driving situations, goal intentions or any motivational pre-cursor of goal intentions. The implementation intention intervention that was tested in this study is a potentially effective tool for reducing mobile phone use while driving in target driving situations, where behaviour-change is most needed.     

Mobile phone use while driving: An investigation of the beliefs influencing drivers’ hands-free and hand-held mobile phone use

This study explored the psychological influences of hands-free and hand-held mobile phone use while driving. Participants were 796 Australian drivers aged 17–76 years who owned mobile phones. A cross-sectional survey assessed frequency of calling and text messaging while driving (overall, hands-free, hand-held) as well as drivers’ behavioural, normative, and control beliefs relating to mobile phone use while driving. Irrespective of handset type, 43% of drivers reported answering calls while driving on a daily basis, followed by making calls (36%), reading text messages (27%), and sending text messages (18%). In total, 63.9% of drivers did not own hands-free kits and, of the drivers that owned hand-free kits, 32% did not use it most or all of the time. Significant differences were found in the behavioural, normative, and control beliefs of frequent and infrequent users of both types of handset while driving. As expected, frequent users reported more advantages of, more approval from others for, and fewer barriers that would prevent them from, using either a hands-free or a hand-held mobile phone while driving than infrequent users. Campaigns to reduce mobile phone use while driving should attempt to minimise the perceived benefits of the behaviour and highlight the risks of this unsafe driving practice.     

Analysis of factors affecting drivers’ choice to engage with a mobile phone while driving in Beijing

In the current work, we examined reasons that drivers choose to engage with a mobile phone while driving in Beijing. An Internet survey was administered to collect data about talking and texting while driving. Conversations were sorted into different types. Respondents were requested to indicate the frequency of initiating a call or text, perceived risk, perceived importance and emotionality of the call or text. A structural equation model of talking and texting while driving was developed with perceived risk, perceived importance and emotionality of the call as predictors and compared to a similar model with U.S. drivers. Unlike the U.S. data, perceived risk has a significant negative impact on the choice to call or text among drivers in Beijing. Results also show that perceived importance of the call is a major factor affecting the usage of phone while driving. Even though drivers know it is dangerous and illegal, Beijing drivers choose to talk on mobile phones while driving, but they prefer not to text.     

Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam

Mobile phone use while riding is one of the five most common risky behaviors of motorcycle riders in Vietnam. This study investigated motorcyclist’s mobile phone use while riding intention and behavior based on the extended Theory of Planned Behavior (TPB) framework. Based on this framework, attitude, subjective norm, perceived behavioral control, habits, and health motivation underlying the rider’s mobile phone use while riding intentions and behavior were included in a questionnaire and captured by direct and indirect measurements. Small-displacement motorcycle riders (N = 291) completed the extended TPB based questionnaire. An exploratory factor analysis technique identified the selected factors (e.g., attitude, habit, etc.). Moreover, Structural Equation Modeling results showed moderate to good fits to the observed data. Therefore, the results supported the utilization of extended TPB framework in identifying factors of mobile phone use while riding intention and behavior. Specifically, negative attitude, perceived behavioral control, and mobile phone use while riding habit related to the intention to use a mobile phone while riding of small-displacement motorcyclists. Meanwhile, habit and behavioral intention related to the behavior to use a mobile phone while riding of small-displacement motorcycle riders. Especially, the correlation between behavioral intention and self-reported behavior was very strong. This finding embraced previous research indicating that intention was a major motivational component of behavior. Based on the results, safety intervention implications for small-displacement motorcycle riders were discussed.     

“I need to skip a song because it sucks”: Exploring mobile phone use while driving among young adults

BackgroundMobile phone use while driving is a well-recognized area of concern. However, while texting/calling among young adult drivers has received much research attention, more research is needed regarding other phone functions used by young adults while driving.Study aimTo explore mobile phone functions used by young adult drivers while driving.ResultsAn online survey of 17–24 year old drivers (N = 612; 428 females) and focus groups with drivers aged (N = 18; 8 females) revealed that mobile phone use while driving was a very common behavior, with more full licence drivers compared with Learner/Provisional drivers using their phone to make/answer calls, send/read text messages and for internet browsing. This nature of mobile phone use while driving was varied, with phones commonly used for entertainment (e.g., to play music), to connect with others (via texting and/or voice calls) and for navigation.Concluding remarksYoung adults use a variety of functions on their phone while driving. It is important that young driver-targeted intervention efforts acknowledge that multiple functions of the mobile phone are used during the drive and it serves multiple purposes. Examining the inhibitors and facilitators of mobile phone use and its various functions while driving is needed, in addition to elucidating if the usage of particular mobile phone functions is similar across different driver cohorts.     

Mobile phone use while driving-literary review

This paper analysis published results of the research into the connection between mobile phone use while driving and traffic safety. Ever since the introduction of the first mobile phones, the authors have been examining the risks associated with its use in traffic, namely: prevalence or frequency of mobile phone use while driving, characteristics of drivers who make more frequent use of mobile phones, the connection between mobile phone use while driving and a car crash risk, a link between mobile phone use while driving and perception of risk, effects on driving performance of using various modes of mobile phones while driving (“hands-free” or “hand-held”), psychological factors influencing driver's decision to use a mobile phone while driving, etc.It is important to point out that the results of some studies indicate that using a hands-free mobile phone while driving does not provide greater safety as compared to the use of hand-held mobile phones while driving. Generally speaking, younger male drivers tend to use mobile phones more often while driving than women and older males.This paper analyses the results of studies which were published in 60 papers from 1994 to 2013.The analysis of the papers selected for research confirms detrimental effects of mobile phone use while driving. Also, four phases in the process of understanding the issue of mobile phone use impacts while driving have been established or identified. The first phase gives the analysis of the prevalence or frequency of mobile phone use while driving. The second phase identifies the characteristics of drivers who tend to use mobile phones more frequently while driving. The third phase concerns research into impacts of using different modes of mobile phones while driving on driving performance (“hands-free” or “hand-held”). Finally, the fourth phase deals with research into risks of mobile phone use while driving (“hands-free” or “hand-held”). The importance of this paper is reflected in that it can help traffic safety policy makers, on the basis of better understanding of the issue of mobile phone use impact while driving, to develop effective strategies aimed at reducing the extent of mobile phone use while driving.     

Attitudes and behaviors associated with young drivers’ texting and app use

IntroductionDistracted driving is a major risk factor for motor vehicle crashes, especially for young drivers. This study examines factors that contribute to the exposure of young drivers to distracted driving behaviors.MethodsData from the 2015 National Survey on Distracted Driving Attitudes and Behaviors was used to determine the influence that perceived safety, likelihood to do or say something, social norms, and demographic variables have on self-reported cell phone distracted driving. Our population included 16–24-year old drivers. Dependent variables were texting (reading and sending a text/email) and smartphone app use while driving. Rao-Scott chi-squared tests and multivariate logistic regression models were applied. Sampling weights were applied to create nationally representative estimates and all statistical tests accounted for complex survey design.ResultsAmong young drivers who report cell phone use while driving, 42% reported reading a text, 33% reported sending a text, and 23% reported smartphone app use. Multivariate regression results showed that perceived safety had the strongest association with reporting texting and smartphone app use while driving. In addition, social norms and age-education were significantly associated with reporting sending a text/email and reading a text/email while driving, respectively.ConclusionsThe current study found significant relationships between attitudes and behaviors about cell phone use while driving and self-reported engagement in distracted driving.Practical applicationsInterventions with an emphasis on changing perceived safety and social norms for young drivers could be beneficial for reducing engagement in cell phone use while driving.     

Text messaging amongst New Zealand drivers: Prevalence and risk perception

Recent work suggests that text messaging impairs simulated and actual driving performance and that this impairment exceeds that of conversing on a cell phone while driving. Additionally, research has shown that text messaging is common in several countries, and despite drivers acknowledging the high risk involved in doing so, drivers continue to engage in this behaviour – regardless of legislation banning it. A nationwide online survey in New Zealand, of 1057 respondents, collected anonymous self-report data regarding the frequency of cell phone use (conversing and text messaging) while driving, beliefs concerning the safety of conversing or text messaging while driving. This article presents part of the results of that study – focusing on text messaging behaviour and risk perception regarding text messaging while driving. Over half of respondents surveyed reported sending or reading between 1 and 5 text messages while driving in a typical week. Despite this, 89% of participants agreed that text messaging while driving in general impairs driving performance. There were no gender differences between the number of text messages read and sent. Age was found to be an important indicator of participant’s willingness to engage in text messaging while driving, with younger drivers more likely to engage in this behaviour. The implications of these findings for future research and countermeasure development are discussed.     

Even experienced phone users drive worse while texting – A driving simulator study

Several studies have clearly shown that texting on a mobile phone increases crash risk (e.g. Dingus et al., 2006; Victor et al., 2014). However, the frequency of texting while driving still remains high (e.g. Vollrath, Huemer, Teller & Likhacheva, 2016). One reason may be that drivers are convinced that they are able to manage this dual task due to their competency in driving and texting. From a theoretical point of view, this may be true within limits – two well-learned, automatically processed tasks may require so few resources most of the time that interferences may not occur.In order to test this assumption, a study with a standardized driving simulator task (the lane change task, LCT; Mattes, 2003) was done with n = 40 drivers selected for their driving experience and tested for their texting abilities. The effect of driving experience (high vs. low) and texting competence (high vs. low) on driving performance was examined in single (driving only) and dual-task (driving and texting) conditions. Additionally, a subjective assessment of one’s task performance was obtained. Texting on the mobile phone significantly impaired driving performance. While driving experience did not have an influence, the deteriorating effect of texting was significantly less pronounced in highly competent phone users. Interestingly, this objective effect was not found in the subjective assessment. Drivers with a high texting competence felt as impaired as drivers with a low texting competence. This is in line with the finding that even in this simple driving task their performance was still significantly deteriorated as compared to driving, only. Thus, it seems that the reason why people text while driving is not that they are not aware of the performance loss. However, this awareness of the possible risk does not seem sufficient to prevent them from texting while driving.     

The Effects of Statistical Format and Population Specificity on Adolescent Perceptions of Cell Phone Use While Driving

Research on risk communication has established that people are influenced by numerical values as well as geographical reference points, or populations, in statistical messages. The ratio bias theory predicts that messages featuring higher casualty numbers will be more influential than similar messages featuring smaller values. However, research on the effects of population specificity predicts that risk messages containing specific populations with naturally lower casualty values will be more effective than similar messages containing larger populations and proportionally greater numbers. This study investigated the contradiction between ratio bias and the effects of population specificity. Students in a drivers’ education class (N?=?112) were randomly assigned to read one of four sets of statistical messages about cell phone use while driving that featured either a general (for example, United States) or specific population (for example, Nassau County), and was expressed using one of two statistical formats, frequencies (for example, “9,000 car accidents…”) or probabilities (for example, “25 % of car accidents…”). Participants then rated their intentions to and perceived risk of using cell phones while driving. Participants who viewed messages featuring general populations along with their naturally larger statistics reported lower intentions to use cell phones while driving than those who were exposed to messages with smaller numbers, but more specific populations. Results suggest that emphasizing larger-valued numbers may be a more effective means of risk communication than depicting specific conditions. These findings have implications for the enhancement of driver safety education to discourage the use of cell phones while driving by teenage drivers.     

驾驶中移动电话的使用：基于自我调整行为的研究视角

因使用移动电话而导致的“驾驶分心”已成为一种严重的道路安全隐患。驾驶者总体上能意识到其危害, 但在驾驶中使用移动电话的现象很普遍。以往研究不能全面地对这一矛盾予以解释, 长期以来更是忽略了对“驾驶分心中自我调整行为”进行研究, 而这一问题能够直接解释驾驶中的移动电话使用行为。从以下三个方面可以对与驾驶分心中自我调整行为有关的研究进行分析和综述：(1)驾驶中移动电话使用行为的一般规律(类型、频率和危险感知等), 驾驶者对移动电话使用行为的理解是诱发自我调整行为的基础; (2)驾驶情境下移动电话使用中可能触发的自我调整行为, 该部分将主要分析自我调整行为的类型及相关属性; (3)如何对移动电话使用行为和自我调整行为进行预测。总体上, 基于对补偿式安全信念进行理解和度量、并以此为切入点对驾驶中移动电话使用及与其有关的自我调整行为展开研究, 这将有助于更好地理解驾驶分心行为。     

An examination of the factors that influence drivers’ willingness to use hand-held mobile phones

Hand-held mobile phone use while driving is illegal throughout Australia yet many drivers persist with this behaviour. This study aims to understand the internal, driver-related and external, situational-related factors influencing drivers’ willingness to use a hand-held mobile phone while driving. Sampling 160 university students, this study utilised the Theory of Planned Behaviour (TPB) to examine a range of belief-based constructs. Additionally, drivers’ personality traits of neuroticism and extroversion were measured with the Neuroticism Extroversion Openness-Five Factor Inventory (NEO-FFI). In relation to the external, situational-related factors, four different driving-related scenarios, which were intended to evoke differing levels of drivers’ reported stress, were devised for the study and manipulated drivers’ time urgency (low versus high) and passenger presence (alone versus with friends). In these scenarios, drivers’ willingness to use a mobile phone in general was measured. Hierarchical regression analyses across the four different driving scenarios found that, overall, the TPB components significantly accounted for drivers’ willingness to use a mobile phone above and beyond the demographic variables. Subjective norms, however, was only a significant predictor of drivers’ willingness in situations where the drivers were driving alone. Generally, neuroticism and extroversion did not significantly predict drivers’ willingness above and beyond the TPB and demographic variables. Overall, the findings broaden our understanding of the internal and external factors influencing drivers’ willingness to use a hand-held mobile phone while driving despite the illegality of this behaviour. The findings may have important practical implications in terms of better informing road safety campaigns targeting drivers’ mobile phone use which, in turn, may contribute to a reduction in the extent that mobile phone use contributes to road crashes.     

How drivers adapt their behaviour to changes in task complexity: The role of secondary task demands and road environment factors

The present study investigates the impact of different sources of task complexity such as driving demands and secondary task demands on driver behaviour. Although much research has been dedicated to understanding the impact of secondary task demands or specific road traffic environments on driving performance, there is little information on how drivers adapt their behaviour to their combined presence. This paper aims to describe driver behaviour while negotiating different sources of task complexity, including mobile phone use while driving (i.e., calling and texting) and different road environments (i.e., straight segments, curves, hills, tunnels, and curves on hills). A driving simulator experiment was conducted to explore the effects of different road scenarios and different types of distraction while driving. The collected data was used to estimate driving behaviour through a Generalized Linear Mixed Model (GLMM) with repeated measures. The analysis was divided into two phases. Phase one aimed to evaluate driver performance under the presence and absence of pedestrians and oncoming traffic, different lanes width and different types of distraction. The second phase analysed driver behaviour when driving through different road geometries and lane widths and under different types of distraction. The results of the experiment indicated that drivers are likely to overcorrect position in the vehicle lane in the presence of pedestrians and oncoming traffic. The effect of road geometry on driver behaviour was found to be greater than the effect of mobile phone distraction. Curved roads and hills were found to influence preferred speeds and lateral position the most. The results of this investigation also show that drivers under visual-manual distraction had a higher standard deviation of speed and lateral position compared to the cognitive distraction and the non-distraction condition.     

Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours

The majority of research surrounding the intervention of risky driving behaviours has operated on the notion that offending behaviour is intentional, leading to a defined theoretical approach on deterrence. This study aimed to investigate the motivations, regulatory behaviours and resisting beliefs that contribute to the occurrence of risky driving behaviours, from the perspective that some behaviour may be unintentional and habitual by nature. An online sample of Australian drivers (N = 46) were recruited to complete a qualitative phone interview regarding their perceptions of risky driving behaviours. Thematic analysis revealed that firstly, speeding and the use of technology while driving (i.e., distraction) were the most commonly reported risky driving habits. Speeding in particular appeared to be both habitual and unintentional, whereas phone use while driving was attributable to addiction, impulses and attitudes. Factors such as drivers’ mentality, the automaticity of the behaviour, and social norms were perceived to make habitual behaviours more difficult to change, whilst personal experiences with legal and physical consequences were perceived to increase risk perceptions and promote behavioural change. Participants also reported using cognitive reframing strategies and behaviours to increase and maintain awareness of the behaviours. Overall, this study has highlighted the resistant and multi-dimensional nature of risky driving habits, as well as the situational factors that preclude them. Based on the findings, future research may benefit by focusing efforts to understanding how habituality fits in the broader deterrence literature, and how such behaviours can be best intervened.