Supervising the self-driving car: Situation awareness and fatigue during highly automated driving.

Vehicle automation promises to reduce the demands of the driving task, making driving less fatiguing, more convenient, and safer. Nevertheless, Level 3 automated vehicles rely on a human driver to be ready to resume control, requiring the driver to reconstruct situation awareness (SA) and resume the driving task. Understanding the interaction between non-driving-related task (NDRT) use, SA, and takeover capacity is important because an effective takeover is entirely dependent on, and scaffolds from, effectively reconstructed SA. While a number of studies have looked at the behavioural impact of being 'in- or on-the-loop', fewer consider the cognitive impact, particularly the consequences for SA. The present study exposed participants to an extended simulated automated drive involving two critical takeover scenarios (early- and late-drive). We compared automated vehicle (AV) operators who were required to passively monitor the vehicle to those engaging with self-selected NDRTs. Monitoring operators demonstrated lower total- and schema-specific SA count scores following a fatiguing drive compared to those engaging with self-selected NDRTs. NDRT engagement resulted in no significant difference in SA count scores early- and late-drive. Assessment of differences in the type and sensory modality of NDRTs indicated operators make fundamentally different selections about the NDRTs they engage with in an automated driving environment compared to a manual environment. The present study provides further evidence linking SA and AV operator behaviour and underscores the need to understand the role of SA in takeover capacity. Our findings suggest that although SA declines over time regardless of driving task requirements (Monitoring versus NDRT engagement), NDRT use may facilitate better SA construction, with implications for the regulation of NDRT use in AVs as the technology progresses.

Normative influences on young drivers' illegal smartphone use: Applying an extended Theory of Normative Social Behaviour.

In the 12 months to November 2021, 19 % of the people killed on Australian roads were aged between 17 and 25 years, despite this age group making up just 12 % of the driving population. A substantial number of these crashes resulted from smartphone use. It is widely accepted that norms influence young drivers' smartphone use; however, there is a dearth of research investigating how different norms interact to influence this behaviour. The current survey study (N = 137) applied an extended Theory of Normative Social Behaviour (TNSB) to investigate illegal smartphone use among young drivers. The original TNSB model proposes that injunctive norm (i.e., perceived societal approval), outcome expectancies, and group identity each moderate the relationship between descriptive norm and behavioural intention. The current study added subjective norm (i.e., perceived approval from important others) to the model. Moderation analyses found that only subjective norm moderated the relationship between descriptive norm and behavioural intention, whereas subjective norm, injunctive norm, and outcome expectancies each partially mediated this relationship. These findings provided partial support for the TNSB. They highlighted the influence of a range of norms on young drivers' smartphone use (i.e., descriptive norm, subjective norm, and injunctive norm) and, in particular, the influence of subjective norm in this context. It also highlights the importance of investigating how norms interact with each other to influence the relationship between descriptive norm and behavioural intention. In accordance with these findings, future public education messages should challenge normative influences, and subjective norm in particular, on young drivers' smartphone use.

Smartphone use among young drivers: Applying an extended Theory of Planned Behaviour to predict young drivers' intention and engagement in concealed responding.

Young drivers, aged 17-25 years, are more likely than other age groups to access social interactive technologies (e.g., Snapchat, Facebook) on their smartphones while driving. Many of these young drivers do so in a concealed manner, thereby diverting their eyes from the road for extended periods and increasing their crash risk. In accordance with previous research, an extended Theory of Planned Behaviour (TPB) was applied in this survey study to investigate psychosocial predictors of young drivers' intention, and behaviour, of responding to social interactive technology on a smartphone in a concealed manner. Participants (N = 154) resided in Australia, were aged 17-25 years, owned a provisional or an open licence, and owned a smartphone. Participants completed two online surveys administered 1-week apart. The first survey measured intention and assessed the TPB standard constructs of attitude, subjective norm, and perceived behavioural control, as well as the additional constructs of anticipated action regret, anticipated inaction regret, and problematic mobile phone usage. The first survey also assessed whether there were any differences in the salient beliefs (elicited in a previous study) about smartphone use between high and low intenders to engage in this behaviour. The second survey measured engagement in the behaviour of responding in a concealed manner in the previous week. Hierarchical multiple regression analyses showed the standard TPB accounted for 69% of variance in intention, and a further 4% was accounted for by the extended constructs. In the final model, all variables, except anticipated inaction regret, were significant predictors of intention. Intention was the only significant predictor of behaviour. A series of MANOVAs found significant differences in the salient belief items between high and low intenders (e.g., high intenders were more likely to believe that friends/peers and other drivers would approve of them engaging in this behaviour). These key findings can be used as focal points for public education messages to persuade young drivers to reduce the frequency of their smartphone use, which is vital to improve road safety for all users.

Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review.

Sharing the road with trucks is associated with increased risk of serious injury and death for passenger vehicle drivers. However, the onus for minimising risk lies not just with truck drivers; other drivers must understand the unique performance limitations of trucks associated with stopping distances, blind spots, and turning manoeuverability, so they can suitably act and react around trucks. Given the paucity of research aimed at understanding the specific crash risk vulnerability of young drivers around trucks, the authors employ a narrative review methodology that brings together evidence from both truck and young driver road safety research domains, as well as data regarding known crash risks for each driving cohort, to gain a comprehensive understanding of what young drivers are likely to know about heavy vehicle performance limitations, where there may be gaps in their understanding, and how this could potentially increase crash risk. We then review literature regarding the human factors affecting young drivers to understand how perceptual immaturity and engagement in risky driving behaviours are likely to compound risk regarding both the frequency and severity of collision between trucks and young drivers. Finally, we review current targeted educational initiatives and suggest that simply raising awareness of truck limitations is insufficient. We propose that further research is needed to ensure initiatives aimed at increasing young driver awareness of trucks and truck safety are evidence-based, undergo rigorous evaluation, and are delivered in a way that aims to (i) increase young driver risk perception skills, and (ii) reduce risky driving behaviour around trucks.

Keeping Safe on Australian Roads: Overview of Key Determinants of Risky Driving, Passenger Injury, and Fatalities for Indigenous Populations.

Social and cultural barriers associated with inequitable access to driver licensing and associated road safety education, as well as socioeconomic issues that preclude ongoing vehicle maintenance and registration, result in unsafe in-car behaviours such as passenger overcrowding. This in turn is associated with improper seatbelt usage, noncompliance with child restraint mandates, and driver distraction. For example, in Australia, where seatbelt use is mandatory, Indigenous road users are three times less likely to wear seatbelts than non-Indigenous road users. This is associated with a disproportionately high fatality rate for Indigenous drivers and passengers; 21% of Indigenous motor-vehicle occupants killed on Australian roads were not wearing a seatbelt at the time of impact. In addition, inequitable access to driver licensing instruction due to financial and cultural barriers results in Indigenous learner drivers having limited access to qualified mentors and instructors. A consequent lack of road safety instruction results in a normalising of risky driving behaviours, perpetuated through successive generations of drivers. Moreover, culturally biased driver instruction manuals, which are contextualised within an English written-language learning framework, fail to accommodate the learning needs of Indigenous peoples who may encounter difficulties with English literacy. This results in difficulty understanding the fundamental road rules, which in turn makes it difficult for young drivers to develop and sustain safe in-car behaviours. This paper considers the literature regarding road safety for Indigenous road users and critically evaluates strategies and policies that have been advanced to protect Indigenous drivers. Novel solutions to increasing road safety rule compliance are proposed, particularly in relation to passenger safety, which are uniquely embedded within Indigenous ways of knowing, being, and doing. Safe driving practices have crucial health and social implications for Indigenous communities by allowing more Indigenous people to participate in work and education opportunities, access healthcare, maintain cultural commitments, and engage with families and friends, qualities which are essential for ongoing health and wellbeing.

Gender differences in the effectiveness of public education messages aimed at smartphone use among young drivers.

Objective: The main aim of this survey study was to evaluate the relative persuasiveness of three newly developed and piloted public education messages aimed at monitoring/reading social interactive technology on a smartphone among young male and female drivers. In accordance with the Step Approach to Message Design and Testing, the messages were evaluated on a number of outcome measures and also explored the influence of self-reported involvement in the target behavior.Methods: Participants (N = 152; 105 F) were aged 17 to 25 years (Mage = 20.14 years, SD = 2.35) and were randomly allocated to either an intervention (one of the three messages) or control (no message) condition. The messages in the intervention group were assessed on acceptance (i.e., behavioral intention and message effectiveness), rejection, and the third person effect (TPE) differential score (i.e., the message is perceived to be more effective for others than for themselves).Results: Hierarchical regression analyses found that, compared to males, females reported: a) lower intention to monitor/read social interactive technology on a smartphone while driving, b) lower rejection; and, c) lower TPE likelihood, irrespective of message.Conclusions: These findings suggest that young male drivers and young female drivers require different message content to be effective and support the importance of including multiple outcome measures to explain the messages' persuasive effects.

Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour.

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.

Qualitative study investigating the underlying motivations of healthy participants in phase I clinical trials.

OBJECTIVES: If patients are to reap the benefits of continued drug development, an understanding of why healthy participants take part in phase I clinical trials is imperative. The current study aimed to explore the nature of these underlying motivations which may, in turn, improve the overall participant experience and assist in the development of more effective recruitment and retention strategies. DESIGN: This study used a qualitative design based on the theory of planned behaviour. Specifically, it explored healthy participants' underlying behavioural, control and normative beliefs which influence their participation in phase I clinical trials. SETTING: This study took place at a company that specialises in conducting phase I and phase II clinical trials in the Australian state of Queensland. PARTICIPANTS: Participants (n=31) were either currently undergoing a phase I clinical trial or had previously taken part in a phase I clinical trial. RESULTS: Results showed that the motivations were varied and not solely centred on financial gains. Reported advantages of participation included altruism, while inconvenience was most often reported as a disadvantage. Friends were reported as those most likely to approve, while one's mother was reported as most likely to disapprove. Having a suitable time frame/flexible scheduling and feeling comfortable taking part in the trial were both the most commonly reported facilitators, while inflexible scheduling/time commitment was the most commonly reported barrier. CONCLUSIONS: Practical implications included the need for organisations involved in clinical trials to be mindful of inflexible scheduling and exploring the possibility of making educational materials available to family members who may be concerned about the risks associated with participation. Overall, it is anticipated that the results of this study will improve the understanding of factors that influence phase I clinical trial participation which may, ultimately, help develop new therapeutics to improve patient health.

Evaluating public education messages aimed at monitoring and responding to social interactive technology on smartphones among young drivers.

Young drivers are more likely than any other age group to access social interactive technology (e.g., Facebook, E-mail) on a smartphone while driving. The current study formed part of a larger investigation and was guided by The Step Approach to Message Design and Testing (SatMDT) to evaluate the relative effectiveness of three different public education messages aimed at reducing smartphone use among young drivers. The messages were each adapted to the specific behaviours of monitoring/reading and responding to social interactive technology on smartphones. Participants (n=288; 199F, 89M) were drivers aged 17-25 years who resided in the Australian state of Queensland. Message acceptance (i.e., intention and effectiveness) and message rejection were both assessed using a self-report survey. Multivariate analyses found that, overall, the messages targeting monitoring/reading behaviour were considered more effective than those targeting responding behaviour. The message that challenged the underlying motivation that believing you are a good driver makes it easier to monitor/read social interactive technology while driving was considered particularly effective by young male drivers.

Young drivers' engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages.

The current study forms part of a larger study based on the Step Approach to Message Design and Testing (SatMDT), a new and innovative framework designed to guide the development and evaluation of health communication messages, including road safety messages. This four step framework is based on several theories, including the Theory of Planned Behaviour. The current study followed steps one and two of the SatMDT framework and utilised a quantitative survey to validate salient beliefs (behavioural, normative, and control) about initiating, monitoring/reading, and responding to social interactive technology on smartphones by N=114 (88F, 26M) young drivers aged 17-25 years. These beliefs had been elicited in a prior in-depth qualitative study. A subsequent critical beliefs analysis identified seven beliefs as potential targets for public education messages, including, 'slow-moving traffic' (control belief - facilitator) for both monitoring/reading and responding behaviours; 'feeling at ease that you had received an expected communication' (behavioural belief -advantage) for monitoring/reading behaviour; and 'friends/peers more likely to approve' (normative belief) for responding behaviour. Potential message content targeting these seven critical beliefs is discussed in accordance with the SatMDT.

Key beliefs influencing young drivers' engagement with social interactive technology on their smartphones: A qualitative study.

OBJECTIVE: The main aim of this study was to identify young drivers' underlying beliefs (i.e., behavioral, normative, and control) regarding initiating, monitoring/reading, and responding to social interactive technology (i.e., functions on a Smartphone that allow the user to communicate with other people). METHOD: This qualitative study was a beliefs elicitation study in accordance with the theory of planned behavior and sought to elicit young drivers' behavioral (i.e., advantages, disadvantages), normative (i.e., who approves, who disapproves), and control beliefs (i.e., barriers, facilitators) that underpin social interactive technology use while driving. Young drivers (N = 26) aged 17 to 25 years took part in an interview or focus group discussion. RESULTS: Though differences emerged between the 3 behaviors of initiating, monitoring/reading, and responding for each of the behavioral, normative, and control belief categories, the strongest distinction was within the behavioral beliefs category (e.g., communicating with the person that they were on the way to meet was an advantage of initiating; being able to determine whether to respond was an advantage of monitoring/reading; and communicating with important people was an advantage of responding). Normative beliefs were similar for initiating and responding behaviors (e.g., friends and peers more likely to approve than other groups) and differences emerged for monitoring/reading (e.g., parents were more likely to approve of this behavior than initiating and responding). For control beliefs, there were differences between the beliefs regarding facilitators of these behaviors (e.g., familiar roads and conditions facilitated initiating; having audible notifications of an incoming communication facilitated monitoring/reading; and receiving a communication of immediate importance facilitated responding); however, the control beliefs that presented barriers were consistent across the 3 behaviors (e.g., difficult traffic/road conditions). CONCLUSION: The current study provides an important addition to the extant literature and supports emerging research that suggests that initiating, monitoring/reading, and responding may indeed be distinct behaviors with different underlying motivations.

Concealing their communication: exploring psychosocial predictors of young drivers' intentions and engagement in concealed texting.

Making a conscious effort to hide the fact that you are texting while driving (i.e., concealed texting) is a deliberate and risky behaviour involving attention diverted away from the road. As the most frequent users of text messaging services and mobile phones while driving, young people appear at heightened risk of crashing from engaging in this behaviour. This study investigated the phenomenon of concealed texting while driving, and utilised an extended Theory of Planned Behaviour (TPB) including the additional predictors of moral norm, mobile phone involvement, and anticipated regret to predict young drivers' intentions and subsequent behaviour. Participants (n=171) were aged 17-25 years, owned a mobile phone, and had a current driver's licence. Participants completed a questionnaire measuring their intention to conceal texting while driving, and a follow-up questionnaire a week later to report their behavioural engagement. The results of hierarchical multiple regression analyses showed overall support for the predictive utility of the TPB with the standard constructs accounting for 69% of variance in drivers' intentions, and the extended predictors contributing an additional 6% of variance in intentions over and above the standard constructs. Attitude, subjective norm, PBC, moral norm, and mobile phone involvement emerged as significant predictors of intentions; and intention was the only significant predictor of drivers' self-reported behaviour. These constructs can provide insight into key focal points for countermeasures including advertising and other public education strategies aimed at influencing young drivers to reconsider their engagement in this risky behaviour.