Article
Computer Science, Cybernetics
Majid Nasirinejad, Derek Reilly
Summary: Mobile Focus+Context (mF+C) involves using a handheld device as a focus screen for content on an immersive display or mobile projector. In this study, three techniques for linking focus and context were compared, and it was found that all techniques were able to mitigate poor projection quality and performed similarly in terms of time and precision. However, the effectiveness of each technique depended on the task type.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Engineering, Industrial
Kai Huang, Guozhu Jia, Qun Wang, Yingjie Cai, Zhenyu Zhong, Zeyu Jiao
Summary: In the era of Industry 5.0, human-centered smart manufacturing (HSM) has emphasized the role of humans in collaboration with machines. This study proposes a method that combines deep learning-based 3D pose reconstruction with rapid entire body assessment (REBA) to assess the risk of work-related musculoskeletal disorders (WMSDs) in HSM. The proposed method improves the accuracy of risk assessment by introducing weights between different risk levels, leading to a precision rate of 99.31% in experiments conducted on an automobile production line.
APPLIED ERGONOMICS
(2024)
Article
Ergonomics
Petya Ventsislavova, Thom Baguley, Josceline Antonio, Daniel Byrne
Summary: The use of e-scooters is increasing rapidly, but it comes with potential dangers such as collisions and illegal riding behavior. Research shows that e-scooter riders tend to be younger and more prone to engage in illegal riding behavior compared to non-users. Knowledge of current regulations related to e-scooters is limited, especially in areas like parking, speeding, and designated infrastructure. Targeted interventions and educational campaigns are necessary to improve riders' understanding of regulations and promote safer riding practices.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Ryan Miller, Timothy Brown, Rose Schmitt, Gary Gaffney, Gary Milavetz
Summary: This study investigated the changes in driving performance following cannabis use, and found that self-reported readiness to drive and previous cannabis use experience can predict some of these changes. However, readiness to drive does not fully explain the observed degradation in performance.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Engineering, Industrial
Jule Bessler-Etten, Leendert Schaake, Jaap H. Buurke, Gerdienke B. Prange-Lasonder
Summary: This article investigates the development of discomfort caused by repetitive and prolonged forces exerted through a rigid cuff. The study found that repetitive force application triggers discomfort but generally does not result in pain and there are no significant differences between different repetitive loading patterns. The design and use of exoskeletons should consider comfort thresholds specific to prolonged repetitive loading.
APPLIED ERGONOMICS
(2024)
Article
Ergonomics
Qian Liu, Xuesong Wang, Shikun Liu, Chunjun Yu, Yi Glaser
Summary: Intersections are high-risk locations for autonomous vehicles (AVs). Analyzing the pre-crash scenarios and contributing factors of AV crashes at intersections using the association rule method revealed that rear-end and lane change crashes were the most frequently occurring scenarios for AVs. The main contributing factors of these scenarios were identified, such as the location outside the intersection, traffic signal control, autonomous engaged mode, mixed-use or public land, and weekdays. Inadequate stop and deceleration decisions by the AV's automated driving system (ADS) and insufficient collision avoidance decisions in lane change crashes were important causes of these AV crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Review
Computer Science, Cybernetics
Julia Seitz, Ivo Benke, Armin Heinzl, Alexander Maedche
Summary: Video meeting systems are widely used in work and life, but their impact on users' psychological states and outcomes is not well understood. This article provides a comprehensive review of existing research on psychological user states and outcomes, highlighting key findings and suggesting future research directions.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Cybernetics
Susan Loh, Marcus Foth, Yasu Santo
Summary: This paper examines the role and impact of plants in interaction design through both theoretical and meta-analysis approaches. The findings indicate that plants are used as proxies for nature, triggers for human experiences, and interfaces for other actions. This research contributes to the understanding of the ethical and societal implications of using plants in technologically mediated environments.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Engineering, Industrial
Michael A. Rupp
Summary: This study examines the impact of microclimate temperature and standing/seated use on thermal discomfort in VR headset users. The results show that thermal discomfort decreased as microclimate temperature increased, but weight discomfort remained unchanged. Users experienced more sweating and higher forehead temperatures while standing with the lowest thermal profile. The study suggests that thermal comfort should be designed according to individual differences, duration of use, and activity level.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jun Ma, Jiateng Li, Wei Wang, Hongwei Huang, Xu Zhang, Jingyi Zhao
Summary: This study investigated the effects of co-pilot display engagement on drivers' workload and driving performance. The findings showed that increased engagement led to higher visual and cognitive workload for drivers, resulting in more erratic driving behavior. The study also analyzed the impact of task type, screen size, screen layout, and task involvement on dependent measures.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Monica Tatasciore, Shayne Loft
Summary: Time pressure can negatively impact the accuracy and perceived workload of automated decision aid use. Increased transparency can improve accuracy and usability, but cannot mitigate the negative effects of high time pressure.
APPLIED ERGONOMICS
(2024)
Article
Computer Science, Cybernetics
Dominic Kao, Syed T. Mubarrat, Amogh Joshi, Swati Pandita, Christos Mousas, Hai-Ning Liang, Rabindra Ratan
Summary: This study investigates the impact of gender-anonymous voice avatars on women's performance in online computing group work. The findings indicate that when only male participants use masked voices, female participants speak for a longer period of time and score higher on computing problems. When everyone uses masked voices, female participants speak for a longer period of time, speak more words, and score higher on computing problems.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Engineering, Industrial
Ido Morag, Volkan Sonmez, Astrid Van Puyvelde, Liliane Pintelon
Summary: This study aims to identify architectural features that affect spatial orientation and wayfinding behaviors, demonstrate the implementation of a multi-criteria decision-making approach to improve navigation for different users, and generate quantitative values for each selected architectural feature based on individual preferences.
APPLIED ERGONOMICS
(2024)
Article
Ergonomics
Jiahui Zhao, Pan Liu, Zhibin Li
Summary: This study proposes a machine learning model to explore the spatial impact of activity patterns on crash counts. The Latent Dirichlet Allocation (LDA) model is used to extract hidden activity patterns from vehicle trajectory data, and the Graph Convolutional Network (GCN) model builds the spatial relationship between multi-source data. Results show that daily vehicle kilometers traveled, road density, population density, commercial activity during weekends, and residential activity during morning peak hours on weekdays are factors associated with crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Rongjie Yu, Lei Han, Mohamed Abdel-Aty, Liqiang Wang, Zihang Zou
Summary: This study focuses on the robustness issue of crash risk evaluation models and proposes countermeasures to enhance it. By generating traffic flow adversarial examples to simulate real-world traffic fluctuations and using a coverage-oriented adversarial training method, the study improves model robustness in imbalanced situations.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Tanveer Ahmed, Asif Mahmud, Vikash V. Gayah
Summary: This study uses the propensity score potential outcome framework to investigate the impact of rumble strips on crashes on horizontal curves. The findings suggest that centerline rumble strips reduce sideswipe and head-on crashes but increase run off the road and hit fixed object crashes. Shoulder rumble strips, either alone or in combination with centerline rumble strips, decrease crash frequencies for most types except sideswipe and head-on crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Yongjie Wang, Yuqi Jia, Wenqiang Chen, Tao Wang, Airen Zhang
Summary: This study explores the safe spaces maintained by pedestrians and e-bicyclists when crossing streets. Using drone footage, the researchers found that e-bicyclists maintain semi-elliptical safe spaces while pedestrians maintain semi-circular safe spaces, with the sizes of these spaces increasing in proportion to relative speeds. The findings bridge an empirical gap in the existing literature and have practical implications for urban planning, traffic management, and the safety of vulnerable road users.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Engineering, Industrial
Hayoung Jung, Wonsup Lee, Sujin Moon, Heecheon You
Summary: This study measured 12 palmar dimensions to analyze the impact of wrist posture on hand size changes during power grip. The findings showed that hand dimensions decreased significantly during grip, with wrist posture and finger position also exerting significant effects on hand size.
APPLIED ERGONOMICS
(2024)
Article
Ergonomics
Anders Lie, Claes Tingvall, Jeffrey P. Michael, James C. Fell, Tho Bella Dinh-Zarr
Summary: Vision Zero aims to eliminate deaths and serious injuries from motor vehicle crashes using a systems approach. Policy and program interventions can motivate drivers to make safe decisions and technology can address risks caused by driver impairment. The safe system within the normal driving envelope can accommodate human errors but cannot compensate for deliberate rule-breaking. The key role of behavioral programs and policies is to motivate safe decisions. There is potential for improvement in implementing programs and policies.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Lulu Jia, Dezhen Yang, Yi Ren, Cheng Qian, Qiang Feng, Bo Sun, Zili Wang
Summary: This paper proposes a dynamic test scenario generation method for comprehensive evaluation of autonomous vehicles. By simulating the interaction process between the autonomous vehicle and environmental vehicles, the method can test the autonomous vehicle's ability to cope with dynamic scenarios and reveal its weaknesses.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
