Article
Education, Scientific Disciplines
Amir H. Sam, Michael D. Reid, Viral Thakerar, Mark Gurnell, Rachel Westacott, Malcolm W. R. Reed, Celia A. Brown
Summary: The study found that there is high inter-rater agreement among assessors from different regions in the UK when evaluating simulated student performances and expected standards for 'clear fail,' 'borderline,' 'clear pass,' and 'good' levels.
Article
Psychology, Applied
Vishnu Radhakrishnan, Tyron Louw, Rafael Cirino Goncalves, Guilhermina Torrao, Michael G. Lenne, Natasha Merat
Summary: This Horizon2020-funded study investigated the effect of different car-following scenarios and takeover situations on drivers' mental workload using eye-tracking-based metrics and self-reported workload ratings. The results showed that drivers' mental workload fluctuated more during Level 2 automated car-following compared to manual car-following, and increased significantly around takeovers, especially when a lead vehicle was present. Pupil diameter was found to be sensitive and closely related to self-reported workload ratings. Further research is needed to explore the feasibility of using eye-tracking-based metrics in real-world settings as indicators of drivers' mental workload.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Multidisciplinary Sciences
Kaveena Kunasegaran, Ahamed Miflah Hussain Ismail, Shamala Ramasamy, Justin Vijay Gnanou, Brinnell Annette Caszo, Po Ling Chen
Summary: Mental fatigue is a fundamental cause of decreased productivity and cognitive performance, leading to occupational errors and accidents. Early detection of mental fatigue can prevent chronic fatigue syndrome and other disorders. The validity of current assessment tools, such as self-reported questionnaires, is questionable, and more research is needed to identify reliable markers for detecting mental fatigue.
Article
Multidisciplinary Sciences
Min Jing, Raymond Bond, Louise J. Robertson, Julie Moore, Amanda Kowalczyk, Ruth Price, William Burns, M. Andrew Nesbit, James McLaughlin, Tara Moore
Summary: The study aimed to understand the user experience of the general public using self-administered LFIA tests at home. Analysis of post-test questionnaires revealed that most participants completed the test with a high overall average user experience score. The participants showed a high level of accuracy in interpreting test results, but had lower confidence when interpreting weak positive cases.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Biomedical
Heng Gu, He Chen, Qunli Yao, Shaodi Wang, Zhaohuan Ding, Ziqian Yuan, Xiaochuan Zhao, Xiaoli Li
Summary: This study aims to further understand the impact of mental schema development and task difficulty on mental workload from the perspective of theta-gamma coupling (TGC). The results showed that TGC was a reliable indicator of mental schema development, remaining unchanged before task difficulty increased and decreasing with increasing mental workload after the formation of mental schema. This suggests that TGC can be a promising measure of mental workload, but only for experienced operators.
JOURNAL OF NEURAL ENGINEERING
(2022)
Review
Chemistry, Physical
Venkateshkumar Prabhakaran, Grant E. Johnson, Julia Laskin
Summary: Ion soft landing is a mass spectrometry technique that allows the controlled deposition of selected ions onto surfaces. It is useful for studying the electrochemical properties of well-defined ions and characterizing redox-active species. Ion soft landing has the advantage of enabling the study of complex molecules and clusters that cannot be purified using traditional methods. It also allows for the precise preparation and characterization of electrode-electrolyte interfaces for various applications.
CURRENT OPINION IN ELECTROCHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Marissa S. Giroux, Jay R. Reichman, Troy Langknecht, Robert M. Burgess, Kay T. Ho
Summary: This study compared community composition and diversity between environmental RNA (eRNA) and environmental DNA (eDNA) templates for metabarcoding, finding significant differences in the number of unique sequences and alpha-diversity metrics. Results suggest the broad applications of eRNA as a tool for assessing benthic community diversity, particularly for environmental conservation and management.
SCIENTIFIC REPORTS
(2022)
Article
Automation & Control Systems
Riccardo Gervasi, Matteo Capponi, Luca Mastrogiacomo, Fiorenzo Franceschini
Summary: Human-Robot Collaboration (HRC) is able to improve the quality and adaptability of production processes. An experiment was conducted to investigate the effects of prolonged HRC on user experience and performance in a repetitive assembly process. The results showed that HRC reduced physical exertion, mental effort, stress, and process defects, indicating the contribution of collaborative robotics in improving ergonomics and process quality in repetitive tasks.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Computer Science, Cybernetics
Luca Longo, Giuliano Orru
Summary: This paper investigates the reliability, validity, and sensitivity of three existing self-reporting mental workload measures in long learning sessions and compares them. The results suggest that these measures are reliable for evaluating instructional conditions and are consistent with findings in the field of ergonomics. Additionally, the Workload Profile is found to be more sensitive than the NASA Task Load Index and the Rating Scale Mental Effort in long learning sessions.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2022)
Article
Psychology, Multidisciplinary
Alexandre Kostenko, Philippe Rauffet, Gilles Coppin
Summary: In order to enhance the safety and performance of operators, it is important to dynamically adapt human-machine cooperation and assess the operator's ability in real-time. This article explores the concept of Operator Functional State (OFS) and applies it to the specific activity of drone swarm monitoring, enabling the classification of physiological and contextual indicators into different levels of OFS.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Industrial
Sebastian Puetz, Vera Rick, Alexander Mertens, Verena Nitsch
Summary: This study surveyed 702 managers from three European countries to investigate their expectations and concerns regarding sensor-based monitoring of employee mental workload. The data showed that expectations for workplace design improvements and employee well-being were strongly associated with managers' willingness to support workload monitoring. However, privacy concerns were identified as a significant barrier to the acceptance of workload monitoring.
APPLIED ERGONOMICS
(2022)
Article
Engineering, Environmental
Mohd Umair Iqbal, Mohammed Aatif Shahab, Mahindra Choudhary, Babji Srinivasan, Rajagopalan Srinivasan
Summary: Process industries rely on effective decision-making by human operators to ensure safety. Control room operators need appropriate mental models of the process to perform effectively. Training systems should consider operators' cognitive workload to assess their abilities accurately.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Chemistry, Multidisciplinary
Georgios N. Dimitrakopoulos, Ioannis Kakkos, Athanasios Anastasiou, Anastasios Bezerianos, Yu Sun, George K. Matsopoulos
Summary: Mental workload has a significant impact on an individual's performance in real-world tasks, leading to potential errors. This study investigated the effects of workload on brain network organization using EEG data. The results showed that higher workload led to reduced clustering coefficient, characteristic path length, and small-worldness metrics. Additionally, the brain network reorganized in a task-independent manner with increasing mental load. The network metrics were also effective in classifying workload levels.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Biomedical
Kai Guan, Zhimin Zhang, Tao Liu, Haijun Niu
Summary: This paper proposed a feature construction method based on EEG tensor representation and transfer learning for accurate evaluation of operators' mental workload under different task conditions. Results showed that the proposed method can achieve higher accuracy in both within-task and cross-task mental workload evaluation compared to traditional feature extraction methods. This demonstrates that the EEG tensor representation and transfer learning method is feasible and effective for cross-task mental workload evaluation.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Aerospace
Miao Wang, Yue Luo, Yong Chen, Kelin Zhong, Guoqing Wang
Summary: The International Civil Aviation Organization (ICAO) has identified Single-Pilot Operations (SPO) as the core focus for the future of commercial aircraft operations in 2030. However, traditional safety analysis methods are not effective in identifying potential hazard patterns in the SPO mode. To address this issue, a combination of model-based safety analysis and hazard pattern mining is introduced, along with a new differential bicluster mining algorithm called TFCluster. Experimental studies demonstrate that TFCluster is efficient and outperforms existing algorithms.
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING
(2023)
Article
Education & Educational Research
Timothy J. Wood, James Chan, Susan Humphrey-Murto, Debra Pugh, Claire Touchie
ADVANCES IN HEALTH SCIENCES EDUCATION
(2017)
Article
Education, Scientific Disciplines
Susan Humphrey-Murto, Lara Varpio, Carol Gonsalves, Timothy J. Wood
Article
Education, Scientific Disciplines
Warren J. Cheung, Nancy L. Dudek, Timothy J. Wood, Jason R. Frank
Editorial Material
Education, Scientific Disciplines
Susan Humphrey-Murto, Timothy J. Wood, Lara Varpio
Review
Education, Scientific Disciplines
Aysah Amath, Kristin Ambacher, John J. Leddy, Timothy J. Wood, Christopher J. Ramnanan
Article
Education & Educational Research
Timothy J. Wood, Debra Pugh, Claire Touchie, James Chan, Susan Humphrey-Murto
ADVANCES IN HEALTH SCIENCES EDUCATION
(2018)
Article
Education, Scientific Disciplines
David Saliken, Nancy Dudek, Timothy J. Wood, Matthew MacEwan, Wade T. Gofton
TEACHING AND LEARNING IN MEDICINE
(2019)
Article
Education, Scientific Disciplines
Timothy J. Wood, Debra Pugh
Article
Education, Scientific Disciplines
Nada Gawad, Timothy J. Wood, Lindsay Cowley, Isabelle Raiche
Article
Education, Scientific Disciplines
Nada Gawad, Timothy J. Wood, Lindsay Cowley, Isabelle Raiche
Summary: The study aimed to gather validity evidence by studying the cognitive process of test-takers to determine whether the SCT tests CDM and what cognitive processes may influence SCT responses. Results showed variability in decision-making among test-takers, with reliance on scripts formed through past experiences and conscious deliberation in the absence of experience. Other influences on SCT responses included comprehension of terms, desire for additional information, disagreement with management plans, knowledge gaps, and desire to show confidence or humility.
Article
Education, Scientific Disciplines
Nancy Dudek, Melissa C. Duffy, Timothy J. Wood, Wade Gofton
Summary: A novel tool was developed to assess resident performance on a hospital ward from the perspective of nurses, showing promise as a workplace-based assessment tool. Nurses identified dimensions of high-quality physician performance on a hospital ward, with reliability of the tool being high. Nurses emphasized the importance of interpersonal skills, responsiveness, dependability, communication skills, and knowledge in physician performance on the ward.
JOURNAL OF SURGICAL EDUCATION
(2021)
Article
Emergency Medicine
Simranjeet Singh, Warren J. J. Cheung, Sebastian Dewhirst, Timothy J. J. Wood, Jeffrey M. M. Landreville
Summary: Longitudinal coaching relationships did not influence the quality of EPA assessments.
AEM EDUCATION AND TRAINING
(2023)
Article
Education, Scientific Disciplines
Sebastian Dewhirst, Timothy J. Wood, Warren J. Cheung, Jason R. Frank
Summary: Work-based assessments (WBAs) are commonly used to determine trainee progression. However, they often fail to differentiate between trainees of different abilities and have poor reliability. Entrustment-supervision scales may improve WBA performance, but there is limited research comparing them to traditional WBA tools.
Review
Education, Scientific Disciplines
Susan Humphrey-Murto, Lara Varpio, Timothy J. Wood, Carol Gonsalves, Lee-Anne Ufholz, Kelly Mascioli, Carol Wang, Thomas Foth
Article
Medicine, Research & Experimental
Anna Byszewski, Heather Lochnan, Donna Johnston, Christine Seabrook, Timothy Wood
