Falling for smartphones: A smartphone-centric data collection tool for measuring distracted walking

Falls and severe head injuries have been increasingly associated with the use of smartphones while walking. A growing body of academic research identifies cognitive, perceptual, and motor deficits caused by smartphone use while walking. Despite the dangers associated with smartphone use while walking, the true prevalence can be challenging to assess. To better address the growing injury risk related to smartphone-induced distraction, we have built a smartphone-based data collection tool to assess smartphone use frequency while walking. In the current study, 35 participants installed the data collection app on their Android smartphones. On average, the application collected 520 data points per day. The application also indicated participants walked 12% of their day, and 49% of their time walking included smartphone use. The current study demonstrates the prevalence of smartphone-induced distraction while walking and smartphone applications' potential efficacy to collect behavioral data.     

Old,but gold? A dual-pathway model of age bias in personnel selection decisions

We present a dual-pathway model that differentiates two underlying mechanisms by which age affects selection decisions. In two experimental studies, one with lay persons (n = 316) and one with experienced Human Resource professionals (n = 103), we demonstrate that the relationship between older age and hireability is negatively mediated by perceived appearance, indicating that older candidates receive less favorable ratings because they are perceived as being less physically appealing. Moreover, we demonstrate that the relationship between older age and hireability is positively mediated by perceived experience, indicating that older candidates receive more favorable ratings because they are perceived as being more experienced. Importantly, these two pathways neutralize each other, yielding a null effect when their effects are neglected.     

Assessment of data glasses for motorcycle riders in a simulated lane change test

Relevant riding information such as speed or navigation instructions are typically displayed in head down dashboards on Powered Two-Wheelers. Data glasses provide information directly in the field of view and could, therefore, reduce glances away from the roadway ahead to focus on the dashboard. This study aimed to examine whether providing information in data glasses while riding as compared to classical head down displays makes a difference. Therefore, a total of N = 24 riders completed the ISO lane change test on a motorcycle riding simulator. Meanwhile, riders had to react to changing turn-by-turn indications which were either displayed in the dashboard, in the data glasses or redundantly in both display technologies. The performance in the lane change test and the reaction times achieved in the secondary task were examined along with riders’ workload by means of the Detection Response Task (DRT) and questionnaire data. Results revealed that riders’ lane change performances did not differ between the conditions ‘data glasses’ and ‘dashboard’. Information displayed in the data glasses was recognized faster and fewer turn-by-turn indications were missed. The performance in the DRT remained unchanged throughout the test conditions, while the subjective workload experience decreased with the use of data glasses. Overall, the results suggest that data glasses did not provoke an attentional capture effect and were, therefore, not inferior compared to dashboards regarding riding performance. However, data glasses did reduce the perceived workload and may in particular provide a safety benefit when time-critical information, such as warnings, need to be displayed.     

The effect of age and sensation seeking on pedestrian crossing safety in a virtual reality street

A wide range of individual, interpersonal and environmental factors influence the safety of pedestrians crossing the street, including human development (children take more risks than adolescents and adults) and sensation seeking (individuals higher in sensation seeking have greater risk). The interaction between those two variables has not been carefully studied, however. Does the effect of sensation seeking on pedestrian safety vary across human development as cognitive and other skills improve? This study investigated the primary effects of age and sensation seeking, plus their joint effects, on pedestrian crossing in a virtual reality environment. 209 children (10–13 years old), adolescents (14–18 years old) and young adults (20–24 years old) screened to be high and low level in sensation seeking participated. A 3 (age group: child vs adolescent vs young adult) × 2 (sensation seeking: high vs low) × 2 (traffic condition: easy vs harder crossing) mixed factorial design was conducted. Three pedestrian safety outcomes – start delay, missed opportunities and dangerous crossings – were considered. Results showed that when the traffic condition was easier to cross within, the start delay to enter traffic gaps was significantly shorter for children than for adolescents and young adults. There were no significant differences across age groups when the traffic condition was harder to cross within. Pedestrians also missed more opportunities to cross the road when the traffic condition was harder to cross within. Pedestrians low in sensation seeking missed more opportunities to cross than those high in sensation seeking. All age groups had more dangerous crossings during the harder crossing scenario than in the easier one, and adolescents had more dangerous crossings than young adults or children. Finally, the results of hierarchical regression models predicting dangerous crossings showed that traffic condition had a significant predictive effect on children's dangerous crossing behavior, and both high sensation seeking and harder traffic conditions predicted adolescents’ dangerous crossing behavior. No included variables significantly predicted adults' dangerous crossing behavior. We conclude that both age and sensation-seeking contribute to pedestrian safety. The effect of sensation seeking does not vary widely by age group, but its effect on adolescents was somewhat stronger than in the other age groups studied.     

Understanding the immediate aftereffects of road traffic crashes in Argentina: The role of injury

The current paper reports a field study of 132 Argentinian individuals who experienced a road traffic crash (RTC), focusing on the role of physical injury in the early aftermath of the crash. Three groups of participants were studied: 1) individuals who were <1 month post-RTC who were not injured (<1 mo, Not Injured, n = 89), 2) individuals who were <1 month post-RTC who were injured (<1 mo, Injured, n = 15), and 3) individuals who were 1–3 months post-RTC who were injured (1–3 mo, Injured, n = 28). Examination of PTSD symptoms indicated that with several exceptions, most PTSD symptoms were endorsed at higher levels by the two injured groups, relative to the not injured group. Consideration of post-RTC cognitive and interpersonal factors indicated that the two injured groups reported lower self-efficacy and higher levels of rumination, relative to the Not Injured group. Additionally, the 1–3 mo Injured group reported being more socially isolated, relative to the two other groups. Results are discussed in light of related literature, with elaboration of potential public health interventions designed to target injured survivors of RTCs.     

Assessing the effect of long-automated driving operation,repeated take-over requests,and driver’s characteristics on commercial motor vehicle drivers’ driving behavior and reaction time in highly automated vehicles

Automated Commercial Motor Vehicles (CMVs) have the potential to reduce the occurrence of crashes, enhance traffic flow, and reduce the stress of driving to a larger extent. Since fully automated driving (SAE Level 5) is not yet available, automated driving systems cannot perform all driving tasks under all road conditions. Drivers need to regain the vehicle’s control when the system reaches its maximum operational capabilities. This transition from automated to manual is referred to as Take-Over Request (TOR). Evaluating driver’s performance after TORs and assessing effective parameters have gained much attention in recent years. However, few studies have addressed CMV drivers’ driving behavior after TOR and the effect of long-automated driving and repeated TORs. This paper aims to address this gap and gain behavioral insights into CMV drivers’ driving behavior after TOR and assess the effect of the duration of automated operation before TOR, repeated TORs, and driver characteristics (e.g., age, gender, education, and driving history). To accomplish this, we designed a 40-minutes experiment on a driving simulator and assessed the responses of certified CMV drivers to TORs. Drivers’ reaction time and driving behavior indices (e.g., acceleration, velocity, and headway) are compared to continuous manual driving to measure driving behavior differences. Results showed that CMV drivers’ driving behavior changes significantly after the transition to manual regardless of the number of TORs and the duration of automated driving. Findings suggest that 30 min of automated operation intensifies the effect of TOR on driving behaviors. In addition, repeated TOR improves reaction times to TOR and reduces drivers' maximum and minimum speed after TORs. Driver’s age and driving history showed significant effects on reaction time and some driving behavior indices. The findings of this paper provide valuable information to automotive companies and transportation planners on the nature of driver behavior changes due to the carryover effects of manual driving right after automated driving episodes in highly automated vehicles.     

基于人类注意机制的微表情检测方法

微表情是一种持续时间极短、不易被察觉的面部动作, 揭示了个体的真实情绪, 可以被广泛地应用于谎言识别等领域。而微表情检测的研究受到小样本问题的限制。针对该问题, 本文结合计算机视觉技术与认知心理学实验方法进行探索。首先, 结合眼动技术和呈现-判断范式与阈下情绪启动效应的行为实验范式, 考察微表情识别中选择注意分配的认知机制, 细化人类识别微表情时的特征兴趣区域。其次, 结合人类注意机制, 提出基于自监督学习的多模态微表情检测方法。通过理论和关键技术的突破, 为真实场景下微表情检测的应用奠定基础。     

Personal and social factors that influence pro‐environmental concern and behaviour: A review

We review the personal and social influences on pro‐environmental concern and behaviour, with an emphasis on recent research. The number of these influences suggests that understanding pro‐environmental concern and behaviour is far more complex than previously thought. The influences are grouped into 18 personal and social factors. The personal factors include childhood experience, knowledge and education, personality and self‐construal, sense of control, values, political and world views, goals, felt responsibility, cognitive biases, place attachment, age, gender and chosen activities. The social factors include religion, urban–rural differences, norms, social class, proximity to problematic environmental sites and cultural and ethnic variations We also recognize that pro‐environmental behaviour often is undertaken based on none of the above influences, but because individuals have non‐environmental goals such as to save money or to improve their health. Finally, environmental outcomes that are a result of these influences undoubtedly are determined by combinations of the 18 categories. Therefore, a primary goal of researchers now should be to learn more about how these many influences moderate and mediate one another to determine pro‐environmental behaviour.     

Young adults’ reactions to infant crying

An infant's optimal development is determined to a great extent by the adequate and sensitive responses of the caregiver. The adequacy and sensitivity of a reaction to an infant in distress (i.e. crying) will partly depend on the causal attributions of the crying and on the individual's sympathy for the infant. Being female, prior caring experiences, and multiparity have shown to be linked to more sympathetic, tolerant and less hostile emotional responses to crying. However, little is known about other factors explaining inexperienced future caregivers’ reactions to infant crying. The present paper's goal is to shed more light on the subject by looking at how personality factors, caregiving interest, sex, promptness of the reaction, and gender identity are related to emotional reactions and causal attributions to crying in a population of young adults without children.