Article
Ergonomics
Linlin Jing, Wei Shan, Yingyu Zhang
Summary: This study quantitatively examines the effects of government regulation on human and organizational factors in the context of road traffic accidents. The analysis of 405 major accidents in China over a 20-year period reveals that inadequate regulation is the most frequent contributing factor, and government regulation significantly influences organizational influences, unsafe supervision, and unsafe behaviors. These findings offer valuable insights for accident prevention and suggest new directions for government policy-making and regulatory activities.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Review
Behavioral Sciences
Thomas O'Neill, Nathan McNeese, Amy Barron, Beau Schelble
Summary: This study defines human-autonomy teaming and provides a synthesis of existing empirical research on the topic. The research environments, dependent variables, key findings, and future research directions are identified. The findings suggest the need for further research on mechanisms linking team input to team output variables.
Article
Behavioral Sciences
Erin K. Chiou, John D. Lee
Summary: This paper reviews recent articles related to human trust in automation and proposes a relational framework to guide future research and design for automation responsivity and more resilient human-automation systems.
Article
Computer Science, Cybernetics
Chun-Der Chen, Qun Zhao, Jin-Long Wang
Summary: This study examines the underlying mechanism of how livestreaming influences consumers' trust building and purchasing intention, based on the elaboration likelihood model and trust transfer theory. The findings show two different routes through which consumers' trust can be built and affect their purchase intention and willingness to pay more. The study also verifies the trust transfer effect from trust in the streamer to trust in the product in livestreaming commerce.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Review
Behavioral Sciences
Ting Zhang, Jing Yang, Nade Liang, Brandon J. Pitts, Kwaku O. Prakah-Asante, Reates Curry, Bradley S. Duerstock, Juan P. Wachs, Denny Yu
Article
Computer Science, Cybernetics
A. Rifat Kayis, Begum Satici, M. Engin Deniz, Seydi Ahmet Satici, Mark D. Griffiths
Summary: The fear of COVID-19 has direct and indirect effects on mental wellbeing, influencing individuals' emotion and behavior negatively through a serial mediation model involving loneliness and smartphone addiction.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Computer Science, Cybernetics
Xin Zhang, Xiaoyan Ding, Liang Ma
Summary: This study investigates the reasons behind the switching behavior of social media users and reveals the relationship between information overload, social overload, social fatigue, and intention to switch. The findings show that social fatigue acts as a mediator between both information overload and social overload in motivating individuals to switch. Additionally, information relevance moderates the positive relationship between information overload and social fatigue, as well as between social overload and social fatigue.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Review
Computer Science, Cybernetics
Henna Makinen, Elina Haavisto, Sara Havola, Jaana-Maija Koivisto
Summary: This integrative review analyzed the usage of different virtual reality technologies in healthcare practice and education, as well as the user experiences of these technologies. The study identified three types of VR technologies used in this field and found that haptic device simulators were the most commonly used, while head-mounted displays were the least-used. The review also examined the user experiences in immersive virtual environments and found that most components were observed in haptic devices and head-mounted displays, with all components being observed in the latter. Overall, the development of VR technology has greatly enhanced user experiences, skill development, and patient safety.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Computer Science, Cybernetics
Hyesun Choung, Prabu David, Arun Ross
Summary: As AI technologies become more common, understanding user trust is important. This paper explores the role of trust in the intention to use AI technologies, finding that trust affects intention through perceived usefulness and attitude. The study also examines different dimensions of trust, finding that functionality trust has a greater impact on intention.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Behavioral Sciences
Anees Ahamed Kaleefathullah, Natasha Merat, Yee Mun Lee, Yke Bauke Eisma, Ruth Madigan, Jorge Garcia, Joost de Winter
Summary: This study investigated pedestrians' misuse of an automated vehicle equipped with an external human-machine interface (eHMI). The results showed that eHMI can cause pedestrians to rely too much on it and ignore the vehicle's intrinsic cues. Therefore, it is necessary to educate people about the capabilities of eHMI.
Article
Ergonomics
Yuping Hu, Ye Li, Helai Huang, Jaeyoung Lee, Chen Yuan, Guoqing Zou
Summary: This paper proposes a method for real-time evaluation of road safety based on high-resolution trajectory data, which combines traffic states and conflicts to explore the internal relationship. Machine learning methods are applied for real-time evaluation. The results show that the proposed method can accurately estimate conflict risk, contributing to the improvement of real-time traffic safety and safety management.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Ergonomics
Fang Wang, Junzhi Wu, Lin Hu, Chao Yu, Bingyu Wang, Xiaoqun Huang, Karol Miller, Adam Wittek
Summary: This study analyzed the head protection effectiveness of nine different helmets in two typical cycling accidents. The results showed that helmets can reduce the risk of head injury for cyclists, but they may increase rotational acceleration of the head. The predictions obtained using different injury criteria varied.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Computer Science, Cybernetics
Wei Xu, Marvin J. Dainoff, Liezhong Ge, Zaifeng Gao
Summary: While AI can benefit humans, it can also harm them if not properly developed. The focus of current HCI work should shift towards interaction with AI systems. A review and analysis of current work in developing AI systems from an HCI perspective were conducted, highlighting the challenges faced by HCI professionals in applying the HCAI approach. New issues in human interaction with AI systems were identified, and opportunities for HCI professionals to address these issues were proposed. Alternative methods were suggested to overcome the limitations of current HCI methods in developing HCAI systems, along with strategic recommendations for influencing the development of AI systems with the HCAI approach.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Ergonomics
Reuben Tamakloe, Subasish Das, Eric Nimako Aidoo, Dongjoo Park
Summary: This study fills the research gap on motorcycle crashes at intersections in developing countries by exploring contributing factors to injury severity through data mining and regression analysis, providing new insights for improving motorcycle safety.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Behavioral Sciences
Xiaomei Wang, Carl Markert, Farzan Sasangohar
Summary: This study analyzes the changes in downloads and activity of popular mental health mobile applications during COVID-19. It finds that meditation apps saw increased downloads after the pandemic started. While these apps perform well in terms of functionality and aesthetics, they lack clinical grounding and evidence base.
Article
Computer Science, Cybernetics
Joao Mariano, Sibila Marques, Miguel R. Ramos, Filomena Gerardo, Catia Lage da Cunha, Andrey Girenko, Jan Alexandersson, Bernard Stree, Michele Lamanna, Maurizio Lorenzatto, Louise Pierrel Mikkelsen, Uffe Bundgard-Jorgensen, Silvia Rego, Hein de Vries
Summary: Older adults may underuse technology due to stereotype threat, which is associated with lower levels of technology use and is mediated by anxiety, perceived ease of use, perceived usefulness, and behavioral intention.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Computer Science, Cybernetics
Alexis D. Souchet, Stephanie Philippe, Domitile Lourdeaux, Laure Leroy
Summary: Virtual Reality Head-Mounted Displays (HMDs) have been introduced to the consumer market for learning purposes, but risks of visual fatigue and high cognitive load may impact learning efficiency. Eye tracking can measure these risks, but distinguishing between visual fatigue and cognitive load remains challenging due to potential correlations between them. More research is needed to improve data interpretation and understand human factor risks associated with learning using HMDs.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Computer Science, Cybernetics
Hong Tien Vu, Jeongsub Lim
Summary: This study explores the factors influencing public attitude towards AI/Robot, finding that individual factors like perceived job loss threat and digital technology efficacy predict acceptance. While country-level factors like economic development and innovation do not directly influence acceptance, they affect perceptions of job loss threat and digital technology efficacy. The research enriches the Technology Acceptance Model by incorporating predictive variables at individual and country levels.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Ergonomics
Jie Yang, Faming Wang, Guowen Song, Rui Li, Uday Raj
Summary: This study investigated the effects of clothing size and air ventilation rate on the cooling performance of three air ventilation jackets. The results showed that both factors significantly influenced the dry heat loss and apparent evaporative resistance. Air ventilation greatly reduced core temperatures and mean skin temperatures, while clothing size had little impact on thermophysiological responses in high ventilation.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Behavioral Sciences
Tessy Luger, Mona Baer, Robert Seibt, Monika A. Rieger, Benjamin Steinhilber
Summary: Using a passive back-support exoskeleton can reduce muscle activity and posture demands during industrial tasks, but can slightly impair performance and is evaluated as mildly uncomfortable.
