Should I Text or Call Here? A Situation-Based Analysis of Drivers' Perceived Likelihood of Engaging in Mobile Phone Multitasking

Distracted on duty: A theory-based exploration of influences leading to mobile phone distracted riding among food delivery workers

Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.

Self-management of Risk for the Prevention of Traffic Accidents from a Health Perspective: A Qualitative Study

Introduction: In the world, deaths and injuries caused by traffic collisions have been considered a public health problem. In Colombia, 7.238 fatalities were recorded in 2021, with motorcycle riders representing the largest group of victims at 59.7%. Methods: The aim of this qualitative phenomenological study is to describe the risky experiences and deliberate actions of diverse road users that influence the self-management of the risk of traffic collisions. Results: Data were obtained from 22 participants: motorists, pedestrians and drivers. The content analysis describes various human conditions that affect self-management of the risk of traffic accidents, such as unsafe behaviors, non-compliance with traffic regulations by the different road actors, competitive culture among drivers, eagerness, among others. Additionally, factors related to care were determined: healthy recreational activities, promoting the value of one's own life and that of others, adequate time management and preventive behaviors by some road users. Conclusion: This research provides information on social and cultural aspects, experiences and risky behaviors of different road actors that influence the incidence of traffic accidents in Colombia.

The impact of road traffic context on secondary task engagement while driving

Introduction

Driver distraction has been recognized for a long time as a significant road safety issue. It has been consistently reported that drivers spend considerable time engaged in activities that are secondary to the driving task. The temporary diversion of attention from safety-critical driving tasks has often been associated with various adverse driving outcomes, from minor driving errors to serious motor vehicle crashes. This study explores the role of the driving context on a driver's decision to engage in secondary activities non-critical to the driving task.

Method

The study utilises the Naturalistic Engagement in Secondary Tasks (NEST) dataset, a complementary dataset derived from the SHRP2 naturalistic dataset, the most extensive naturalistic study to date. An initial exploratory analysis is conducted to identify patterns of secondary task engagements in relation to context variables. Maximum likelihood Chi-square tests were applied to test for differences in engagement between types of driver distraction for the selected contextual variables. Pearson residual graphs were employed as a supplementary method to visually depict the residuals that constitute the chi-square statistic.Lastly, a two-step cluster analysis was conducted to identify common execution scenarios among secondary tasks.

Results

The exploratory analysis revealed interesting behavioral trends among drivers, with higher engagement rates in left curves compared to right curves, while driving uphill compared to driving downhill, in low-density traffic scenarios compared to high-density traffic scenarios, and during afternoon periods compared to morning periods. Significant differences in engagement were found among secondary tasks in relation to locality, speed, and roadway design. The clustering analysis showed no significant associations between driving scenarios of similar characteristics and the type of secondary activity executed.

Discussion

Overall, the findings confirm that the road traffic environment can influence how car drivers engage in distracted driving behavior.

On the forces of driver distraction: Explainable predictions for the visual demand of in-vehicle touchscreen interactions

With modern infotainment systems, drivers are increasingly tempted to engage in secondary tasks while driving. Since distracted driving is already one of the main causes of fatal accidents, in-vehicle touchscreens must be as little distracting as possible. To ensure that these systems are safe to use, they undergo elaborate and expensive empirical testing, requiring fully functional prototypes. Thus, early-stage methods informing designers about the implication their design may have on driver distraction are of great value. This paper presents a machine learning method that, based on anticipated usage scenarios, predicts the visual demand of in-vehicle touchscreen interactions and provides local and global explanations of the factors influencing drivers' visual attention allocation. The approach is based on large-scale natural driving data continuously collected from production line vehicles and employs the SHapley Additive exPlanation (SHAP) method to provide explanations leveraging informed design decisions. Our approach is more accurate than related work and identifies interactions during which long glances occur with 68% accuracy and predicts the total glance duration with a mean error of 2.4s. Our explanations replicate the results of various recent studies and provide fast and easily accessible insights into the effect of UI elements, driving automation, and vehicle speed on driver distraction. The system can not only help designers to evaluate current designs but also help them to better anticipate and understand the implications their design decisions might have on future designs.

The effect of risk perception and other psychological factors on mobile phone use while crossing the street among pedestrians

Pedestrians may be the most vulnerable group among road users, and mobile phone use while crossing the street is ubiquitous worldwide in this information era. However, previous studies have found that such distracting behaviors may increase the risk of injury and death. The present study primarily aimed to explore the effect of reinforcement sensitivity theory components (i.e., Behavioral Inhibition System (BIS), Behavioral Approach System (BAS)), risk perception, attitudes towards red light running, and fear of missing out (FoMO) on mobile phone use while crossing the street among pedestrians. Risk perception was measured in three ways (i.e., assessing the probability of a negative outcome (RP-Pro), judging the severity of the consequence (RP-Se), and evaluating the general riskiness of the behavior (RP-Ri)). An online questionnaire survey was conducted, and only valid responses (N = 425) were used for subsequent data analyses. The results indicated significant differences in the responses across the risk perception questions with different focuses. Participants who reported engaging in more distracted street-crossing (i.e., high-risk takers) perceived a significantly lower risk, and this difference did not depend on the focus of risk perception. Three path analysis models with differential risk perception constructs (RP-Pro, RP-Se, and RP-Ri) were developed to examine the relationship between risk perception and distracted street-crossing. The results suggest that the relationship between these two variables does not depend on the focus of the risk perception questions. Moreover, FoMO was a predictor of mobile phone use while crossing the street, while attitudes had both direct and indirect effects on behavior. BIS and BAS had the lowest total effect on mobile phone use among pedestrians. In particular, a direct association between BAS and distracted street-crossing was found only in the model in which risk perception was measured by judging the severity of crashes caused by mobile phone use distraction. This study may be meaningful for understanding the associations between psychological factors and mobile phone use among pedestrians. The implications of the findings for the development of safety interventions are discussed in this study.

Non-Driving-Related Task Engagement: The Role of Speed

Non-driving-related tasks (NDRTs) have the potential to affect safety in a number of ways, but the conditions under which drivers choose to engage in NDRTs has not been extensively studied. This analysis considers naturalistic driving data in which drivers were recorded driving and engaging in NDRTs at will for several weeks. Using human-annotated video captured from vehicle cabins, we examined the probabilities with which drivers engaged in NDRTs, and we examined the relationship between vehicle speed and NDRT probability, with the goal of modeling NDRT probability as a function of speed and type of NDRT observed. We found that tasks that contain significant visual and manual components, such as phone manipulation, show strong sensitivity to vehicle speed, while other tasks, such as phone conversation, show no effects of vehicle speed. These results suggest that there are systematic relationships between NDRT patterns and vehicle speed, and that the nature of these relationships is sensitive to the demands of the NDRT. The relationship between speed and NDRT probability has implications for understanding the effects of NDRTs on safety, but also for understanding how drivers may differ in terms of the strategies they employ to modulate their NDRT behaviors based upon driving demands.

Alcohol-impaired Walking in 16 Countries: A Theory-Based Investigation

Alcohol is a global risk factor for road trauma. Although drink driving has received most of the scholarly attention, there is growing evidence of the risks of alcohol-impaired walking. Alcohol-impaired pedestrians are over-represented in fatal crashes compared to non-impaired pedestrians. Additionally, empirical evidence shows that alcohol intoxication impairs road-crossing judgements. Besides some limited early research, much is unknown about the global prevalence and determinants of alcohol-impaired walking. Understanding alcohol-impaired walking will support health promotion initiatives and injury prevention. The present investigation has three aims: (1) compare the prevalence of alcohol-impaired walking across countries; (2) identify international groups of pedestrians based on psychosocial factors (i.e., Theory of Planned Behaviour (TPB) and perceptions of risk); and (3) investigate how segments of pedestrians form their intention for alcohol-impaired walking using the extended TPB (i.e. subjective norm, attitudes, perceived control, and perceived risk). A cross-sectional design was applied. The target behaviour question was "have you been a pedestrian when your thinking or physical ability (balance/strength) is affected by alcohol?" to ensure comparability across countries. Cluster analysis based on the extended TPB was used to identify groups of countries. Finally, regressions were used to predict pedestrians' intentions per group. A total of 6,166 respondents (Age M(SD) = 29.4 (14.2); Males = 39.2%) completed the questionnaire, ranging from 12.6% from Russia to 2.2% from Finland. The proportion of participants who reported never engaging in alcohol-impaired walking in the last three months ranged from 30.1% (Spain) to 83.1% (Turkey). Four groups of countries were identified: group-1 (Czech Republic, Spain, and Australia), group-2 (Russia and Finland), group-3 (Japan), and group-4 (final ten countries including Colombia, China, and Romania). Pedestrian intentions to engage in alcohol- impaired walking are predicted by perceptions of risk and TPB-psychosocial factors in group-1 and group-4. Favourable TPB-beliefs and low perceived risk increased alcohol-impaired walking intentions. Conversely, subjective norms were not significant in group-2 and only perceived risk predicted intention in group-3. The willingness of pedestrians to walk when alcohol-impaired differs significantly across the countries in this study. Perceived risk was the only common predictor among the 16 countries.

Can't text, I'm driving - Factors influencing intentions to text while driving in the UK

There is clear research evidence that using a mobile phone while driving is dangerous. However, although drivers generally know this is a risky behaviour, many continue to use a handheld mobile phone while driving. The present research used the Theory of Planned Behaviour (TPB) to explore the psychological reasons underpinning intentions to use a mobile phone while driving in general, as well as to send and read text messages while driving across four different scenarios. Convenience sampling was used to obtain data from 314 participants who held a valid licence to drive in the UK, had driven at least once in the last six months and owned a mobile phone. General intentions to use a mobile phone while driving were predicted by positive Attitudes towards the behaviour and higher Perceived Behavioural Control. Moreover, when predicting intentions to send and read text messages, it was positive Attitudes that was the most consistent and significant predictor. Surprisingly, neither Perceived Behavioural Control nor Subjective Norms were significant predictors of intentions to send or read text messages. Furthermore, perceptions of risk (crashing and being apprehended by the police) were significant predictors of intentions to send and read texts over and above that provided by the TPB variables. The present research highlights the need for interventions to target attitudinal change and to increase risk perceptions in order to reduce the prevalence of these risky behaviours.

Mobile phone applications use while driving in Ukraine: Self-reported frequencies and psychosocial factors underpinning this risky behaviour

Despite the fact that mobile phones have been transformed over the last decade into information and communication hubs that are fundamental to modern life, there is little information on how this has impacted on mobile phone use while driving. The present study was conducted in Ukraine, where this risky behaviour remains a common driving practice, despite legislative bans. A total of 220 (male = 82%; mean age = 35.53; SD = 10.54) drivers completed an online survey assessing frequency of engaging in a range of mobile phone applications while driving. Four variables of the theory of planned behaviour (general attitude and intention towards phone use while driving, social norms towards mobile phone use, perceived behavioural control, the specific beliefs about being able to engage in distracting activities and drive safely), and type A behaviour pattern were also collected. The results showed that, during the last year, 65% of drivers had read a text message and 49% had written a text using mobile phone applications. Likewise, a substantial proportion of the sample reported using social media while driving, by checking (34%), sending or typing a post (25%) on social network applications. Hierarchical stepwise regressions showed that a positive attitude towards mobile phone use while driving and beliefs about being able to drive safely and write or read a text message were significantly associated with the mobile phone applications use while driving. No associations were found between the type A behaviour pattern and mobile phone applications use.

Risk Analysis: Celebrating the Accomplishments and Embracing Ongoing Challenges

As part of the celebration of the 40th anniversary of the Society for Risk Analysis and Risk Analysis: An International Journal, this essay reviews the 10 most important accomplishments of risk analysis from 1980 to 2010, outlines major accomplishments in three major categories from 2011 to 2019, discusses how editors circulate authors' accomplishments, and proposes 10 major risk-related challenges for 2020-2030. Authors conclude that the next decade will severely test the field of risk analysis.

Exploring drivers' mental workload and visual demand while using an in-vehicle HMI for eco-safe driving

Eco-safe driving is a promising approach to improve road safety while reducing transport emissions. The application of an eco-safe driving system is feasible with the support of vehicle-to-vehicle/infrastructure technologies. To guarantee system usability and safety appropriateness, a key precondition is to ensure that driver mental workload and visual demands required for using the system are reasonable. This study explored how drivers' mental workload and visual demands were affected when driving with an eco-safe driving HMI (human-machine-interface). Four in-vehicle eco-safe HMI information conditions were evaluated, including baseline, advice only, feedback only, and advice & feedback. Two traffic scenarios (stop-sign intersection with traffic vs. stop-sign intersection without traffic) were simulated using an advanced driving simulator. Behavioural variables (e.g. brake force, acceleration), visual variables (e.g. blink metrics, pupil size) and subjective workload scores were collected from 36 licensed Australian drivers. The experiment results showed that the HMI prompted drivers to apply a smooth and stable brake force when they approached the intersection and a smooth acceleration when they left the intersection. Drivers' mental workload indicated by visual measurements were consistent with their subjective reported workload levels. Drivers had a higher mental workload when they received and processed additional eco-safe information in the advice & feedback condition. An increase in mental workload induced by the in-vehicle cognitive task initiated more blink activities while the increase in visual demand caused by a complex road situation led to blink inhibition. The study shows the HMI could significantly promote eco-safe driving behaivours without causing excessive mental and visual workload of drivers.

Turn signal use among motorcyclists and car drivers: The role of environmental characteristics, perceived risk, beliefs and lifestyle behaviours

Turn signal neglect is considered to be a key contributor to crashes at intersections, yet relatively little research has been undertaken on this topic, particularly in developing countries. Using a case study of Vietnam, this research aimed to explore the role of environmental characteristics, perceived risk, beliefs and lifestyle behaviours on the frequency of turn signal use at intersections. A self-administered questionnaire was distributed to motorcyclists (n = 527) and car drivers (n = 326) using online and offline methods. Using partial least squares structural equation modelling (PLS-SEM), key findings indicate that perceived risk, beliefs and environmental characteristics play a significant role in affecting the frequency of turn signal use among motorcycle riders and car drivers at intersections. While lifestyle behaviours were not found to be a good predictor of turn signal use among car drivers, they were found to indirectly affect turn signal use among motorcycle riders through the mediation of beliefs and perceived risk. The findings can help inform the development of more targeted measures to increase turn signal use.

Associations between symptoms of problematic smartphone, Facebook, WhatsApp, and Instagram use: An item-level exploratory graph analysis perspective

BACKGROUND AND AIMS

Studies have demonstrated associations between both problematic smartphone and social networks use with everyday life adversities. However, examination of associations between problematic smartphone use (PSU) and problematic use of specific social networking platforms, especially on item-level data, has received relatively little attention. Therefore, the aim of the current study was to explore how items of problematic smartphone, Facebook, WhatsApp, and Instagram use are associated.

METHODS

949 German-speaking adults participated in a web survey study. The participants were queried about their socio-demographics as well as levels of problematic smartphone, Facebook, WhatsApp, and Instagram use. In addition to bivariate correlation analysis, exploratory graph analysis (EGA), a type of network analysis, was conducted.

RESULTS

The results showed that while problematic Facebook and Instagram use seem to be distinct phenomena, problematic smartphone and WhatsApp use were heavily intertwined. Furthermore, the only cross-platform symptom observed was the extent of reported pain in wrists and neck due to digital technology use. The EGA network models showed very good stability in bootstrap analyses.

DISCUSSION AND CONCLUSIONS

In general, the results of this study suggest that while Instagram and Facebook use may potentially constitute distinct problematic behaviors, problematic smartphone/WhatsApp use scales may be measuring highly similar or even the same construct.

Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk

Mobile phone use while driving presents significant risks, potentially leading to injury or death through distracted driving. Using a case study of Vietnam, this research aimed to understand the effect of problematic mobile phone use (also known as mobile phone addiction or compulsive mobile phone use), attitudes and beliefs, and perceived risk on the frequency of mobile phone use among motorcyclists and car drivers. A self-administered questionnaire was distributed to motorcyclists (n₁= 529) and car drivers (n₂= 328) using an online survey and face-to-face survey. The survey took around 20-min to complete and participants were entered into a lottery for supermarket vouchers. Of the motorcyclists, 42% of the sample (the highest proportion) was in the 18-25 age group while the 36-45 age group accounted for the highest proportion among car drivers (34.8%). Using structural equation modelling (SEM), key findings showed that each construct influenced mobile phone use, but in different ways for motorcycle riders and car drivers. Attitudes and beliefs had the largest effect on mobile phone use while riding among motorcyclists, with problematic mobile phone use having the smallest influence. In contrast, problematic mobile phone use had the largest effect on mobile phone use while driving a car, with attitudes and beliefs having the smallest effect. The findings of this study point to the need for tailored interventions involving a range of actors (policymakers, police enforcement, mental health professionals, advocacy groups and the wider community) to raise awareness, modify attitudes and increase risk perception associated with mobile phone use while driving/riding. This can be achieved thorough educational tools and road safety campaigns which are focused on reducing this risky driving behaviour. This includes customising road safety programs for individuals and groups affected by problematic mobile phone use such as targeted advertising.

Exploring Factors Influencing the Risky Cycling Behaviors of Young Cyclists Aged 15-24 Years: A Questionnaire-Based Study in China

Road traffic crashes are the leading cause of death for young people, among whom cyclists account for a higher percentage of injuries and deaths than any other road users. This study aimed to examine the factor structure of the Young Cyclist Behavior Questionnaire (YCBQ) and investigate the relationships among demographic characteristics, cycling use-related variables, perceived risk, perceived cycling skills, and risky cycling behaviors among young people. A sample of 448 cyclists (mean age of 20.37 years) completed the questionnaire. Exploratory factor analysis, confirmatory factor analysis, and structural equation modeling were utilized. The YCBQ had a clear factorial structure, items with high factor loadings, and good internal consistency. The five-factor structure included traffic violations, impulsive behaviors, ordinary violations, distractions, and errors. Risky cycling behaviors could be explained by gender, age, perceived risk, and perceived cycling skills, with the model explaining 37% of the variance. Gender had the greatest impact on risky cycling behaviors; male individuals were more likely to engage in risky behaviors. Young cyclists with higher levels of perceived risk had lower probabilities of engaging in risky cycling behaviors. Cyclists with lower scores on perceived cycling skills were more likely to report engaging in risky cycling behaviors. Age significantly explained risky behaviors; the younger the cyclist was, the higher his or her risky behaviors score. This research provides a theoretical foundation for the prevention of risky behaviors among young cyclists. Regarding intervention design, attention to the identified gender differences, the need to strengthen the ability to perceive risk, and the importance of road safety education for young cyclists may promote safer cycling.

Drivers' gap acceptance behaviours at intersections: A driving simulator study to understand the impact of mobile phone visual-manual interactions

Mobile phone use is often considered to be the main source of distraction on the road. Gap acceptance at intersections is a frequent and complex driving task that requires high visual attention from drivers. This study aims to investigate the effect of mobile phone use on the gap acceptance manoeuvre at intersections. Different mobile phone use positions, intersection type, gap size and driver characteristics were considered in the study. A total of 41 licenced drivers drove in an advanced driving simulator in three phone use conditions: baseline (no phone use), using the phone under the steering wheel (covert) and using the phone above the steering wheel (overt). Drivers drove the simulator three times and experienced two intersection types (straight-forward vs. left-turn) and two gap sizes (4 s vs. 7 s) during each drive. A parametric accelerated failure time (AFT) duration model was developed to evaluate the intersection crossing completion time of drivers. The results showed no significant difference of gap acceptance behaviours between the two phone use positions. The distraction task did not affect drivers' gap acceptance decision, but it increased the crossing completion time by over 10 % compared to baseline. Besides, drivers behaved conservatively at intersections while using a mobile phone, such as adopting a larger deceleration, waiting a longer time, and mainting a larger distance to the front vehicle, etc. However, these compensational behaviours were not helpful in improving the intersection traffic situation regarding both safety and efficiency. Intersection type and gap size were both significant factors of gap acceptance decision and crossing completion time. Additionally, younger drivers were more likely to accept a gap than older drivers, and female drivers spent longer time to cross the intersection than males.

"It is frustrating to not have control even though I know it's not legal!": A mixed-methods investigation on applications to prevent mobile phone use while driving

Mobile phone distracted driving is a major risk factor for crashes. However, this behaviour has been increasing in recent years. Effective enforcement of mobile phone bans while driving faces several obstacles; as such, it is important to consider additional countermeasures. Applications designed to prevent distracted driving are a promising solution, yet more research is needed that examines their effectiveness in reducing dangerous phone use while driving behaviours. Additionally, these applications are voluntary in nature; therefore, an understanding of drivers' perceptions of the applications is necessary to determine how to improve uptake. A mixed methods design was utilised to examine these factors in a comprehensive manner. A total of 40 participants used the smartphone application "Do Not Disturb While Driving" for iOS phone operating systems or "Android Auto" for Android phone operating systems for approximately one week and completed three diary entries reporting on their experience. Two questionnaires that examined phone use while driving behaviours were also administered to participants; one before and one after completing the study. The quantitative results found that engagement in 1) visual-manual, 2) cognitive-auditory and 3) music mobile phone interactions significantly decreased while using the application. Distraction engagement and mental workload while driving also significantly decreased while using the application. The qualitative results identified a number of areas of improvement that need to be addressed, e.g. activation of the application and Bluetooth connection reliability. The features that required improvement presented an obstacle for effective use of the applications, and in some cases resulted in drivers deciding to stop using the application. Positive perceptions of the application were associated with the experiences of the application functioning appropriately and activating automatically. These results show that applications designed for voluntary use to prevent mobile phone distracted driving are a promising countermeasure, although current applications require several improvements.

Assessing driver acceptance of technology that reduces mobile phone use while driving: The case of mobile phone applications

The nature of the road environment requires drivers to be vigilant and attentive. Distracted driving is a primary concern, as it threatens the safety of road users. However very little research has been conducted into interventions to combat such an issue. Existing interventions such as police enforcement and legislation appear to have limited effect. The use of mobile phone applications to assist in limiting driver distraction is an alternative intervention that is currently gaining traction. With a great array of potential benefits, such as reducing road toll, these applications can be readily available to all road users. Despite the positive implications, it is vital that drivers accept the use of such a technology for the intervention to be effective. Therefore, understanding driver acceptance is an important step in implanting such applications. To assess this, the present study examines the utility of two versions of the Technology Acceptance Model (TAM), the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT) for understanding the acceptance of technology designed to reduce distraction. Participants were presented with two different applications and responded to questions that indicated their attitudes towards the factors included in the TAM, TPB and UTAUT, alongside their intent to use the technology. A total of 731 participants responded to the survey, and their responses analysed. The results indicated that overall, Davis' (1985) TAM was slightly better in explaining behavioural intent for both Mobile Phone Application (MPA) 1 and MPA 2, explaining 66.1% and 68.7% of the variance, respectively. Davis' (1989) TAM and the TPB were close behind, while the UTAUT explained the least variance in behavioural intent of all the models. Overall, the findings of this study provide support for using psychological theories to assess the acceptance of mobile phone applications.

"I Snapchat and Drive!" A mixed methods approach examining snapchat use while driving and deterrent perceptions among young adults

This research utilised a qualitative and quantitative study to examine a sample of young drivers' perceptions of deterrent forces, both legal and non-legal, for the behaviour of phone use while driving. First, focus groups were conducted with 60 drivers between the ages of 17 and 25 years who resided in Queensland, Australia. This qualitative study utilised an inductive approach to elicit participants' perceptions without omitting important ideas. Legal sanctions were associated with low perceptions of enforcement certainty. Meanwhile, the only non-legal sanction to emerge was the concept of "safety"; many participants were deterred from using their phone while driving for fear of injury or death to themselves or others. The types of social media most likely to be engaged in were explored and sending videos or photos via the application Snapchat emerged as the most common social media application used among the sample. Consequently, the subsequent quantitative study focused on deterrent forces associated with Snapchat use while driving. A survey was utilised with a separate sample of young drivers aged 17-25 years (n = 503). The impact of the threat of legal sanctions on Snapchat use while driving was examined through classical deterrence theory and Stafford and Warr's (1993) reconceptualised deterrence theory. The non-legal factor of perceived safety was also included in the quantitative study. None of the classical deterrence variables (e.g., certainty, severity and swiftness) reached significance while all the reconceptualised deterrence variables (e.g., direct and indirect punishment and punishment avoidance), as well as perceived safety, were significant predictors of Snapchat use while driving. It is suggested that perceptions of certainty of apprehension need to be increased for phone use while driving. The findings show the current impact of deterrent initiatives for phone use while driving as well as provide the first examination of deterrents for the specific mobile phone behaviour of Snapchat use while driving.

Problematic Use of Mobile Phones in Australia…Is It Getting Worse?

Rapid technological innovations over the past few years have led to dramatic changes in today's mobile phone technology. While such changes can improve the quality of life of its users, problematic mobile phone use can result in its users experiencing a range of negative outcomes such as anxiety or, in some cases, engagement in unsafe behaviors with serious health and safety implications such as mobile phone distracted driving. The aims of the present study are two-fold. First, this study investigated the current problem mobile phone use in Australia and its potential implications for road safety. Second, based on the changing nature and pervasiveness of mobile phones in Australian society, this study compared data from 2005 with data collected in 2018 to identify trends in problem mobile phone use in Australia. As predicted, the results demonstrated that problem mobile phone use in Australia increased from the first data collected in 2005. In addition, meaningful differences were found between gender and age groups in this study, with females and users in the 18-25 year-old age group showing higher mean Mobile Phone Problem Use Scale (MPPUS) scores. Additionally, problematic mobile phone use was linked with mobile phone use while driving. Specifically, participants who reported high levels of problem mobile phone use, also reported handheld and hands-free mobile phone use while driving.

"Mate! I'm running 10 min late": An investigation into the self-regulation of mobile phone tasks while driving

The adaptive behaviour of mobile phone distracted drivers has been a topic of much discussion in the recent literature, but the mechanisms of behavioural adaptation are still unclear. This study investigated the influence of driving demands, secondary task characteristics, and personal characteristics on behavioural adaptation of mobile phone distracted drivers. In particular, distracted drivers' self-regulation at strategic, tactical, and operational levels was investigated through a driving simulator experiment. In a high-fidelity driving simulator, participants driving through various driving conditions (e.g. interactions with pedestrian crossings, signalized intersections, merging ramps, roundabouts, etc.) needed to decide where and how to perform the following four mobile phone tasks: (a) ring a doctor and cancel an appointment, (b) text a friend and tell him/her that the participant will be arriving 10 min late, (c) share the doctor's phone number with a friend, and (d) take a 'selfie'. At a strategic level, the decision to pull over was modelled as a function of self-reported personal/attitudinal characteristics with a logistic regression model. Similarly, tactical self-regulation (decision to engage in a task while driving in a specific situation) and operational self-regulation (decision to temporarily stop the mobile phone task) were modelled as a function of driving demands and personal/attitudinal characteristics using a random-effects logistic regression model, which accounts for correlations resulting from multiple observations of a driver. Results suggest that tactical self-regulation is more common among distracted drivers followed by operational and strategic self-regulation. Personal beliefs regarding how safe it is to use the mobile phone for texting/browsing while driving were predictors of self-regulation for all levels. Drivers were observed to use the mobile phone more when the driving demands are low, e.g. while stopped at an intersection. This research suggests that distracted drivers engage in various levels of self-regulation, and future research could be focused on further theoretical refinement and development of technology-based interventions.