Article
Computer Science, Cybernetics
Evania L. Fasya, Esther van den Bos, Dirk K. J. Heylen, Mariska E. Kret
Summary: This study explores the relationship between mimicry, person-perception, and social anxiety levels by having participants interact with virtual humans. The results show that participants, regardless of anxiety levels, mimic the virtual humans' smiles, which is associated with increased liking and trust towards the virtual humans.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Cybernetics
Alberto Monge Roffarello, Luigi De Russis
Summary: This paper presents a novel digital self-control tool called StepByStep, which proactively assists users in learning how to better manage smartphone use and reduce time spent on their devices. Preliminary studies show promising results in helping users change unwanted smartphone habits.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Cybernetics
Naseem Ahmadpour, Ajit G. Pillai, Sofia Yao, Andrew Weatherall
Summary: Virtual Reality (VR) can be used in pediatric hospitals to create makerspaces that provide children with an enriched experience. Through observation of participants' engagement with VR, we identified three different maker identities and provided design considerations for makerspaces in pediatric settings.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Cybernetics
Michael Jones, Mia Caminita, Elizabeth Klemm, Dustin Bruening, Sarah Ridge
Summary: This study conducted interviews with figure skating coaches to explore their perception of using IMU data in training. The findings indicate that coaches play a crucial role as gatekeepers in sharing and interpreting data, considering individual athletes' needs and being cautious when sharing data with parents.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Ergonomics
Min Deng, Aaron Gluck, Yijin Zhao, Da Li, Carol C. Menassa, Vineet R. Kamat, Julian Brinkley
Summary: This paper analyzes the effects of takeover behaviors on common physiological indicators of drivers, including brain signals, skin conductance level, and heart rate. The results show that performing secondary tasks prior to takeover activities can decrease drivers' engagement, while higher task difficulty and traffic density can increase drivers' mental workload and heart rate. Moreover, a fake takeover alert can also affect drivers' physiological indicators. The paper also discusses the correlation between physiological data, takeover scenarios, and vehicle data, emphasizing the importance of data standardization or normalization for estimating takeover readiness.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Song Wang, Zhixia Li, Yi Wang, Wenjing Zhao, Tangzhi Liu
Summary: This study quantitatively reveals the reasons behind changes in AV acceptance after experiencing automated driving and objectively validates that safety is the primary factor influencing AV acceptance.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Ziluo Xiong, Suren Chen
Summary: Road vehicles are prone to single-vehicle crashes (SVCs) under complex road geometry and bad weather conditions, posing a significant threat to traffic safety and mobility. Researchers have developed a novel multi-fidelity approach that balances simulation accuracy and efficiency for reliable risk assessment of SVCs. By using a high-fidelity transient dynamic vehicle model and a low-fidelity simplified physics-based vehicle model, the proposed approach provides accurate and efficient reliability evaluation of SVCs.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Computer Science, Cybernetics
Leonardo Vasconcelos, Jean Zahn, Daniela Trevisan, Jose Viterbo
Summary: In today's world, crowdsourcing initiatives have gained wide adoption. However, sporadic use alone is not enough for success in crowdsourcing initiatives, as active user engagement is crucial. To address this, an 18-card deck was created to provide designers with domain-specific insights on boosting user engagement. Through collaborative online design workshops, valuable information was provided, leading to contributions in design research and practices in crowdsourcing initiatives, particularly in user engagement.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Computer Science, Cybernetics
Nikol Figalova, Hans-Joachim Bieg, Julian Elias Reiser, Yuan-Cheng Liu, Martin Baumann, Lewis Chuang, Olga Pollatos
Summary: With increasing automation, drivers' roles transition from active operators to passive system supervisors, affecting their behaviour and cognitive processes. This study investigates attentional resource allocation and subjective cognitive load during different levels of driving automation. The findings suggest that during automated driving, drivers allocate fewer attentional resources to processing environmental information, highlighting the importance of managing drivers' attention and cognitive load for enhancing automation safety and user interface design.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Engineering, Industrial
Stephen Dooley, Sunwook Kim, Maury A. Nussbaum, Michael L. Madigan
Summary: The purpose of this study was to investigate the effects of arm- and back-support exoskeletons on reactive balance after slip-like and trip-like perturbations on a treadmill. The study found that the exoskeletons did not significantly increase the probability of failed recovery after the perturbations, but did make balance recovery more challenging. Reactive balance differed when wearing different types and activation states of exoskeletons.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jan Healey, Sue Hignett, Diane Gyi
Summary: This study explores the delivery of home care in England and examines the barriers that impact worker performance and whether these barriers affect the quality and safety of care. The findings highlight the importance of an Human Factors and Ergonomics (HFE) systems perspective in understanding and improving home care.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Junfeng Ma, Yu Wang, Sayali Joshi, Haifeng Wang, Carlton Young, Adam Pervez, Yingge Qu, Shey Washburn
Summary: The U.S. is facing a national nurse shortage, and the application of immersive Virtual Reality technology in nursing education is not fully understood. This study explored the effectiveness and efficacy of immersive Virtual Reality nursing education through a comparative pilot study, and the results showed that the method performed well in terms of effectiveness and efficacy.
APPLIED ERGONOMICS
(2024)
Article
Ergonomics
Tao Wang, Ying-En Ge, Yongjie Wang, Wenqiang Chen
Summary: This paper introduces a method to simulate the propagation patterns of conflict risk on freeways, which can help prevent traffic accidents and improve the deployment of advanced vehicle technologies. By introducing a conflict risk index and a spatio-temporal transformer network, it is possible to effectively simulate the propagation patterns of conflict risk. Experimental results show that the model based on proportion of stopping distance exhibits robust performance, while the model based on deceleration rate more distinctly delineates spatio-temporal conflict risk heterogeneity.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Ziqian Zhang, Haojie Li, Gang Ren
Summary: This study introduces a novel encoder-decoder framework that utilizes multi-source data to predict the severity of jaywalking violations. The experimental results show that the proposed model outperforms classical models and the incorporation of background information significantly enhances the model's performance.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Zihang Wei, Subasish Das, Yue Wu, Zihao Li, Yunlong Zhang
Summary: In traditional roadway crash studies, cross-sectional modeling methods have limitations when dealing with highly time-varying variables related to weather conditions and speed variation. This study employs the distributed lag model (DLM) and the distributed lag nonlinear model (DLNM) to investigate the lagged impacts of weather and speed variation factors on segment crash risk. The results demonstrate coherent and interpretable lagged impact patterns, emphasizing the need for considering time-series effects in future crash modeling research.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Engineering, Industrial
Eirini Balta, Andreas Psarrakis, Argiro Vatakis
Summary: Research has shown that mental workload modulates time perception, making timing behavior a reliable index of cognitive demand. This study tested the timing behavior of air traffic controllers in a real aviation environment under different levels of cognitive load. Results showed significant overestimation of time intervals during the high-load landing phase and greater overestimation when landing two helicopters compared to one.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
John Kang, Stephanie C. Payne, Farzan Sasangohar, Ranjana K. Mehta
Summary: This exploratory longitudinal field study aimed to examine the changes in subjective, performance-based, and physiological fatigue measures over time across different shift types in offshore environments. The findings revealed that workers' performances on the psychomotor vigilance test deteriorated over time across all shift types. The study also found correlations between different multimodal fatigue measures.
APPLIED ERGONOMICS
(2024)
Article
Computer Science, Cybernetics
Abhraneil Dam, Arsh Siddiqui, Charles Leclercq, Myounghoon Jeon
Summary: This article investigates the concept of audio augmented reality (AAR) and provides a systematic understanding, classification, and definition for AAR. The research identifies three categories for AAR applications - Environment Connected, Goal Directed, and Context Adapted, each with three subcategories. This taxonomy serves as a guide for the development and evaluation of AAR applications.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2024)
Article
Ergonomics
Narelle Haworth
Summary: Close passes by motor vehicles pose threats to the safety and comfort of bicycle riders. Governments in many countries have implemented laws to ensure a minimum distance between vehicles and cyclists during overtaking. This paper discusses the evaluation of a two-year trial in Queensland, Australia, which aimed to understand the circumstances and reasons behind close passes. The study used video observations and experimental studies to gather data and analyze crash causation.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Engineering, Industrial
S. Thuillard, L. Audergon, T. Kotalova, A. Sonderegger, J. Sauer
Summary: This study compared the effects of human-induced and machine-induced social stress on task performance and subjective state. The results showed that social stress did not directly affect performance, affect, or self-esteem, but human-induced social stress impaired perceived justice.
APPLIED ERGONOMICS
(2024)
