Technology-facilitated intimate partner violence (TFIPV) is increasingly featured in cases of intimate partner violence and intimate partner homicide. There is emerging recognition of the use of technology to abuse and control intimate partners in domestic abuse research and the inherent complexity of TFIPV is evident. As such, a better understanding of the factors that influence TFIPV is necessary. This scoping review aimed to synthesise extant literature on factors known to influence TFIPV. The review included 84 peer-reviewed primary sources that focused on adult intimate relationships (at least 18 years of age), had full-text versions in English, and included individual, situational, environmental, technological, and systemic factors found to increase the likelihood of TFIPV. The influencing factors were extracted and mapped onto a systems-thinking-based framework, Rasmussen's Risk Management Framework. This synthesis identified 28 higher-order themes across the TFIPV system hierarchy. Most of the factors within these themes related to lower levels of the system (e.g. perpetrators, victim-survivors, social environment, device and software capabilities), with limited consideration of broader systemic factors that influence TFIPV. Of the broader systemic factors that were identified, most related to inadequate responses to TFIPV by government, judicial system, technology industry regulators, and police. Future research should consider the use of systems-thinking-based frameworks and methods in understanding and addressing this complex and pervasive problem from a whole-of-system perspective.

Suicide is a leading cause of premature mortality worldwide, making suicide prevention a global public health priority. As more Artificial Intelligence (AI)-based suicide prevention interventions are being developed and implemented, it is important to study acceptance of these AI systems. The present study aimed to investigate the factors that predict acceptance of current and future AI systems for suicide prevention and the perceived risks and benefits of these AI systems. Individuals from the Australian public were invited to participate in an online survey, which included six hypothetical scenarios of current AI systems (Artificial Narrow Intelligence [ANI]) and future advanced AI systems (Artificial General Intelligence [AGI]) for suicide prevention. Participants evaluated these scenarios on five technology acceptance factors (performance expectancy, effort expectancy, social influence, facilitating conditions, trust) and elaborated on its perceived risks and benefits. Performance expectancy, social influence, and trust predicted acceptance of ANI systems, but only trust predicted acceptance of AGI systems. Overall, the level of acceptance was higher for ANI systems than for AGI systems. Several perceived risks (e.g., risks to mental healthcare, distrust in AI, threats to humanity) and perceived benefits (e.g., benefits to mental healthcare, trust in AI, human help-seeking) were identified. AI systems represent potential avenues for effective suicide prevention. However, to ensure acceptance, AI systems for suicide prevention must be developed in a way that is safe, reliable, and trustworthy.

Teams play a critical role in society and represent a key area for Human Factors and Ergonomics. Salas et al.'s Big Five model is widely cited; however, the increasing use of Human-Autonomy Teams (HATs) has fuelled debate over its continued relevance. It is important to reflect on how the Big five model has been applied, in what contexts, and whether applications to contemporary teams are emerging. This article presents the findings from a scoping review undertaken to identify and synthesise the peer reviewed literature describing applications of the Big Five model. Articles were deemed eligible for inclusion if they were published in the peer reviewed literature and described an application of the Big Five model to study teamwork. 38 articles were included in the review and no applications of the Big Five model to study HATs were identified. Over half of the studies were undertaken in healthcare and a range of assessment methods have been used (e.g., questionnaires, surveys, interviews, observer-rating scales, communication transcript analysis). Just under a third of included studies evaluated all model components (i.e., the five processes and three coordinating mechanisms) and few considered the relationships between model components or between model components and team effectiveness. Research is required to explore the validity of the Big Five model for HATs, to gather evidence for the relationship between model components and team effectiveness, and to develop more precise Big five-based measures.Teams play a critical role in society and represent a key area for Human Factors and Ergonomics. Salas et al.'s Big Five model is widely cited; however, the increasing use of Human-Autonomy Teams (HATs) has fuelled debate over its continued relevance. It is important to reflect on how the Big five model has been applied, in what contexts, and whether applications to contemporary teams are emerging. This article presents the findings from a scoping review undertaken to identify and synthesise the peer reviewed literature describing applications of the Big Five model. Articles were deemed eligible for inclusion if they were published in the peer reviewed literature and described an application of the Big Five model to study teamwork. 38 articles were included in the review and no applications of the Big Five model to study HATs were identified. Over half of the studies were undertaken in healthcare and a range of assessment methods have been used (e.g., questionnaires, surveys, interviews, observer-rating scales, communication transcript analysis). Just under a third of included studies evaluated all model components (i.e., the five processes and three coordinating mechanisms) and few considered the relationships between model components or between model components and team effectiveness. Research is required to explore the validity of the Big Five model for HATs, to gather evidence for the relationship between model components and team effectiveness, and to develop more precise Big five-based measures.

Remotely Piloted Aircraft Systems (RPAS), also known as drones, are a rapidly emerging technology being quickly adopted in civil and military applications. Although there are many potential benefits, several safety challenges also exist. This requires a proactive approach to design the broader sociotechnical safety system required to support the safe and optimal use of this technology. This study provides a novel application of the Systems Theoretic Accident Model and Processes (STAMP) safety control structure model to develop a proposed control structure for safe and effective RPAS operations. Following subject expert review and validation, the proposed STAMP control structure served as the basis for evaluating the current RPAS safety system’s maturity and identifying gaps between the proposed and current structures. The findings revealed several gaps at all levels of the safety control structure model. Based on a review of these gaps, a series of required control actions and feedback mechanisms is presented. A national RPAS strategy was identified as a key control action mechanism that could support safe and effective RPAS operations. Overall, the study represents a novel application of STAMP to a rapidly emerging and disruptive technology; the implications for future applications in other contexts are discussed.

Young driver safety remains a road safety priority due to the over-representation of this cohort in crashes, fatalities and injuries. Speeding is recognised as a key contributor to traffic crashes, particularly within this population. Traffic safety culture is a growing area of research that considers the shared attitudes, values and beliefs of communities relating to road safety behaviours. However, the traffic safety culture of young drivers is under-researched and has not been conceptualised for speeding behaviour specifically. The current study applied an exploratory approach paired with systems thinking to discern the traffic safety culture of young drivers in Queensland, and in sub-groups of young drivers (general population females, general population males and car enthusiasts). Further, factors across the road transport system were investigated for their impact on traffic safety culture and speeding behaviour. A sample of 27 young drivers from Queensland participated in semi-structured interviews. Thematic analysis revealed key factors of a general traffic safety culture that exist across the young driver groups. Further, the findings showed that factors across the whole road transport system impact young drivers’ traffic safety culture to varying degrees. The findings provide insight into how the system could be adapted to encourage safer behaviour in young drivers. It is suggested that a holistic approach spanning the road transport system be applied to integrate strategies which promote a positive traffic safety culture around speeding within the young driver cohort.