Ergonomics

Article Ergonomics

Optimal planning of safety improvements on road sites belonging to different categories within large networks: An integrated multi-layer framework

Paolo Intini, Nicola Berloco, Stefano Coropulis, Vittorio Ranieri

Summary: Planning road safety interventions on large road networks is a complex process that involves estimating safety performances, identifying sites for improvement, defining types of safety measures, and considering budget constraints. This study proposes an integrated multi-layer framework that addresses these issues and provides the number and type of safety interventions for a wide road network with different road elements. The methodology is applied to a case study, demonstrating its applicability and flexibility for planning purposes.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Computer Science, Cybernetics

Attention-based automatic editing of virtual lectures for reduced production labor and effective learning experience

Eugene Hwang, Jeongmi Lee

Summary: This study proposes an automatic lecture video editing pipeline based on individual attention patterns, aiming to address the setbacks in producing effective educational videos. The results show that attention-based automatic editing can significantly reduce editing time while maintaining similar video characteristics to professionally edited versions, and have the potential to decrease the cognitive load of learners.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Ergonomics

Decoding the impacts of contributory factors and addressing social disparities in crash frequency analysis

Jinli Liu, Subasish Das, Md Nasim Khan

Summary: Understanding the relationship between social disparities and traffic crash frequency is crucial for transportation planning and policymaking. This study examines the impact of socioeconomic and infrastructure-related disparities on traffic crash rates at a macro-level. The findings suggest that the Multiscale Geographically Weighted Regression (MGWR) model is effective in uncovering spatial relationships between contributing factors and different types of crashes. Improving infrastructure in low-income areas can lead to significant benefits in reducing crashes.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Engineering, Industrial

Principles and practices of designing for resilient performance: An assessment framework

Claudia Maria Dias Guerra Disconzi, Tarcisio Abreu Saurin

Summary: This article introduces a framework for assessing the extent to which a system uses practices and principles of Design for Resilient Performance (DfRP). The framework application is exemplified based on the study of an emergency department. The study contributes to DfRP theory and offers a new approach for resilience assessment.

APPLIED ERGONOMICS (2024)

Article Computer Science, Cybernetics

Going to the movies in VR: Virtual reality cinemas as alternatives to in-person co-viewing

Kata Szita, Wyatt Moss-Wellington, Xiaolin Sun, Eugene Ch'ng

Summary: Virtual reality cinemas can provide a similar experience to physical movie watching, enhancing viewers' understanding and engagement with the characters' emotions. However, social viewing may not be suitable for all viewers. Previous experience with virtual reality can impact viewers' comfort levels during the screening, but early adopters and supporters of the technology are more likely to have an enjoyable and engaging film experience.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Engineering, Industrial

A design evaluation tool for older adults using domestic information processing appliances

Lisa-Dionne Morris, Alison Mckay, Thomas Cassidy

Summary: This paper introduces a coding scheme for analyzing user interactions with domestic information processing appliances, and illustrates its efficacy through a case study on microwave oven, providing recommendations for the design of operational interfaces and instructional materials.

APPLIED ERGONOMICS (2024)

Article Computer Science, Cybernetics

Wearable gaming technology: A study on the relationships between wearable features and gameful experiences

Nannan Xi, Oguz Oz Buruk, Juan Chen, Shiva Jabari, Juho Hamari

Summary: This study investigates the features of wearables that lead to a heightened game experience, finding that integrability to games, wearability, modularity, and sociability are the most important dimensions.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Computer Science, Cybernetics

To mimic reality or to go beyond? Superpowers in virtual reality, the experience of augmentation and its consequences

Robin Neuhaus, Ronda Ringfort-Felner, Shadan Sadeghian, Marc Hassenzahl

Summary: Virtual reality has the potential to extend human capabilities beyond reality, but it is unclear whether users perceive augmentation-oriented designs as augmenting and whether the experience is beneficial. Two consecutive experimental vignette studies were conducted to compare reality-oriented designs and augmentation-oriented designs. The findings show that augmentation-oriented designs create a more intensive augmentation experience, which is positively related to positive affect, need fulfillment, usage intention, and hedonic quality. Additionally, a new measure for assessing the subjective experience of augmentation was successfully established.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Computer Science, Cybernetics

Preventing mind-wandering during driving: Predictions on potential interventions using a cognitive model

Moritz Held, Andreea Minculescu, Jochem W. Rieger, Jelmer P. Borst

Summary: In this study, the effects of interventions by adaptive automation systems designed to prevent mind-wandering while driving were predicted. It was found that a simple secondary task can improve driving performance, but if the driving task is simple, people may start mind-wandering, which interferes with driving. The study showed that interventions eliciting mild cognitive load can mitigate the negative effects of mind-wandering on driving performance.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Review Engineering, Industrial

Soft computing applications in the field of human factors and ergonomics: A review of the past decade of research

Erman Cakit, Waldemar Karwowski

Summary: The main objectives of this study were to review the literature on the applications of soft computing concepts to the field of human factors and ergonomics (HFE) between 2013 and 2022 and highlight future developments and trends. Multiple soft computing methods and techniques, including fuzzy logic, artificial neural networks, genetic algorithms, and their combinations, have been investigated for effective application in HFE. A total of 104 articles were selected from 406 papers to showcase the applications of these methods in HFE. The results of this study contribute to addressing the challenges of complexity, vagueness, and imprecision in human factors and ergonomics research through the use of soft computing methodologies.

APPLIED ERGONOMICS (2024)

Article Engineering, Industrial

The effects of distraction on younger drivers: A neurophysiological perspective

Jake Goldsworthy, Christopher N. Watling, Chae Rose, Gregoire Larue

Summary: Distracted driving, including phone use, is a significant cause of traffic accidents globally. A simulated driving study found that young drivers who use phones while driving experience negative effects on neurophysiological arousal, subjective workload, and objective driving performance. The study emphasizes the importance of not using a phone while driving.

APPLIED ERGONOMICS (2024)

Review Ergonomics

Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

Yasir Ali, Fizza Hussain, Md Mazharul Haque

Summary: Accurately modeling crashes and predicting their occurrence and severities are crucial for effective road safety management strategies. This review paper systematically examines machine learning studies on crash modeling, highlighting gaps and future research needs. The review emphasizes the importance of understanding state-of-the-art machine learning-based crash prediction models and leveraging big data to improve our understanding of crash mechanisms.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Ergonomics

Investigating transportation safety in disadvantaged communities by integrating crash and Environmental Justice data

A. Latif Patwary, Antora Mohsena Haque, Iman Mahdinia, Asad J. Khattak

Summary: Recent research has explored the relationship between disadvantaged communities and traffic safety by analyzing census data. The findings suggest that factors such as health, resilience, and transportation barriers are associated with more fatal crashes, while a higher percentage of the population with bachelor's degrees and increased use of public transportation are correlated with fewer fatal crashes. Additionally, disadvantaged census tracts with a higher proportion of Hawaiian or other Pacific Islander, and American Indian or Alaska Native populations have a higher rate of fatal crashes. These insights are important for developing more equitable traffic safety interventions.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Article Engineering, Industrial

The effect of verbal instructions while using digital indoor wayfinding devices on gender, performance, and self-reported strategies

Ido Morag, Avi Parush

Summary: This study indicates that there is a relationship between gender and wayfinding performance, and verbal instructions can influence this relationship. Male participants perform better in terms of accuracy and speed in wayfinding, while females rely more on specific routes. Additionally, applying survey knowledge to females may improve their indoor wayfinding ability.

APPLIED ERGONOMICS (2024)

Article Engineering, Industrial

Metabolic power response to added mass on the lower extremities during running

Itay Coifman, Rodger Kram, Raziel Riemer

Summary: This study aimed to quantify the metabolic cost of running with additional leg mass. The results showed that for every 1000 g of added mass per leg, gross metabolic power increased by approximately 16% (foot) and 11% (shank) for females, which was slightly greater than the 11% and 8% increases for males, respectively. For thigh loading, metabolic power only increased by 4% per 1000 g in both sexes.

APPLIED ERGONOMICS (2024)

Article Computer Science, Cybernetics

From reader to experiencer: Design and evaluation of a VR data story for promoting the situation awareness of public health threats

Qian Zhu, Linping Yuan, Zian Xu, Leni Yang, Meng Xia, Zhuo Wang, Hai-Ning Liang, Xiaojuan Ma

Summary: This study examines the potential of using virtual reality data stories to raise people's situation awareness of health risks. The results show that the data stories can promote situation awareness by enhancing people's connection to risky situations.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Computer Science, Cybernetics

The media inequality, uncanny mountain, and the singularity is far from near: Iwaa and Sophia robot versus a real human being

Johan F. Hoorn, Ivy S. Huang

Summary: The design of artificial intelligence and robotics typically assumes that adding more humanlike features can enhance the user experience, but this is often met with suspicion due to uncanny effects. This study brings together three theories - Media Equation, Uncanny Valley theory, and the Singularity - and empirically tests them for the first time. The results show that human-likeness is not determined by appearance or behavior, but by the attributed qualities of being alive. This challenges the previous theories and suggests a focus on machines that function adequately.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)

Article Engineering, Industrial

The effect of handedness on upper extremity isometric strength symmetry

Michael W. B. Watterworth, Fahima Wakeely, Sarah A. Fitzgerald, Nicholas J. La Delfa

Summary: This study investigated the differences in isometric strength symmetry between left-handed and right-handed individuals and found that left-handed individuals tend to have greater strength in their non-dominant limb, while right-handed individuals tend to have greater strength in their dominant limb. This suggests that separate norms should be created to account for handedness when considering ergonomic design and assessment criteria.

APPLIED ERGONOMICS (2024)

Article Engineering, Industrial

Assessing the impact of industrial glove use on perceived hand dexterity, function, and strength

Eduardo M. Sosa, Sueann Woods, Seth Powers, Madison Bailey, Taryn Benedict, Emily O'Brien, Aaron Smith

Summary: This study investigates the impact of three styles of industrial metacarpal gloves on workers' dexterity, gripping, pinching, and torquing tasks. The results show that wearing gloves significantly increases the time required to complete dexterity tasks and has varying effects on gripping and pinching forces. The study also finds gender differences in self-perception while wearing gloves.

APPLIED ERGONOMICS (2024)

Article Computer Science, Cybernetics

Comparison of visitor experiences of virtual reality exhibitions by spatial environment

Seung Jin Chung, So Yeon Kim, Ki Han Kim

Summary: This study investigated the impact of spatial environment on user experience in VR exhibitions, finding that virtuality-based environments induce more active movements while reality-based environments provide a more comfortable feeling and better communication.

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2024)