Pub Date : 2023-10-25DOI: 10.1177/21695067231200873
Amjad A Ramahi, Fadi Fathallah, Thomas Jue
Ligaments play a crucial role in the musculoskeletal system. When maximal and sub-maximal ligamentous injury occur, a cascading response is initiated, starting with platelet plug formation and ending with remodeling. A rodent model was used to examine the role of modulating the initial recruitment of platelets and their impact on biochemical, histological, functional, and mechanical material properties. Functional gait testing, Enzyme Linked Immunosorbent Assay (ELISA), histological evaluations, and material property testing were performed. Animals (n=150) were randomized to a no-treatment group, a platelet rich fibrin treatment group and, a Nonsteroidal Anti-inflammatory Drug (NSIAD) treatment group. Initial results show that antiinflammatory drugs slow gait functional recovery; whereas, PRF shows faster functional recovery. PRF shows a faster increase in VEGF, and NSAIDs slows down VEGF and reduced its intensity. Evaluating injury recovery and impact of treatment methods, in both occupational and sports settings, provides insights about the healing response.
{"title":"Biochemical and Physiological Dynamics in Ligament Injury & Healing","authors":"Amjad A Ramahi, Fadi Fathallah, Thomas Jue","doi":"10.1177/21695067231200873","DOIUrl":"https://doi.org/10.1177/21695067231200873","url":null,"abstract":"Ligaments play a crucial role in the musculoskeletal system. When maximal and sub-maximal ligamentous injury occur, a cascading response is initiated, starting with platelet plug formation and ending with remodeling. A rodent model was used to examine the role of modulating the initial recruitment of platelets and their impact on biochemical, histological, functional, and mechanical material properties. Functional gait testing, Enzyme Linked Immunosorbent Assay (ELISA), histological evaluations, and material property testing were performed. Animals (n=150) were randomized to a no-treatment group, a platelet rich fibrin treatment group and, a Nonsteroidal Anti-inflammatory Drug (NSIAD) treatment group. Initial results show that antiinflammatory drugs slow gait functional recovery; whereas, PRF shows faster functional recovery. PRF shows a faster increase in VEGF, and NSAIDs slows down VEGF and reduced its intensity. Evaluating injury recovery and impact of treatment methods, in both occupational and sports settings, provides insights about the healing response.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"14 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135170647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A key potential advantage of modern training technologies relates to the ability to use them to automate aspects of training. Although in the early stages of adoption within the aviation industry, artificial intelligence (AI) tools and methods have many promises for training design, development, delivery, and assessment. We applied the use-case technology-mapping framework (UCTM) to identify and analyze how automation and AI technologies may be used within the flightcrew training design pipeline, integrating perspectives from relevant literature, informal discussions with stakeholders, and workshops with domain experts. Our preliminary findings highlight current/near-future applications of AI methods and tools in the training design pipeline. Here, we discuss ethical/legal, technical, and practical considerations for flightcrew training. We urge practitioners and researchers in the aviation human factors community to engage in this discussion and to conduct empirical research that will allow for a positive use of the technology across applications, including in aviation training. Practical Takeaways/Applications. • We present a wide range of potential use cases of AI in flightcrew training. • We discuss the ethical/legal, technical, and practical implications of automation and AI. • This information may inform future training processes and practices in the aviation domain.
{"title":"Using AI Tools to Develop Training Materials for Aviation: Ethical, Technical, and Practical Concerns","authors":"Blake Nguyen, Nathan Sonnenfeld, Lindsay Finkelstein, Alex Alonso, Caroline Gomez, Fiona Duruaku, Florian Jentsch","doi":"10.1177/21695067231192904","DOIUrl":"https://doi.org/10.1177/21695067231192904","url":null,"abstract":"A key potential advantage of modern training technologies relates to the ability to use them to automate aspects of training. Although in the early stages of adoption within the aviation industry, artificial intelligence (AI) tools and methods have many promises for training design, development, delivery, and assessment. We applied the use-case technology-mapping framework (UCTM) to identify and analyze how automation and AI technologies may be used within the flightcrew training design pipeline, integrating perspectives from relevant literature, informal discussions with stakeholders, and workshops with domain experts. Our preliminary findings highlight current/near-future applications of AI methods and tools in the training design pipeline. Here, we discuss ethical/legal, technical, and practical considerations for flightcrew training. We urge practitioners and researchers in the aviation human factors community to engage in this discussion and to conduct empirical research that will allow for a positive use of the technology across applications, including in aviation training. Practical Takeaways/Applications. • We present a wide range of potential use cases of AI in flightcrew training. • We discuss the ethical/legal, technical, and practical implications of automation and AI. • This information may inform future training processes and practices in the aviation domain.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"13 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135112781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192615
Amelia C. Warden, Christopher D. Wickens, Benjamin A. Clegg, Francisco R. Ortega
The amount and color of overlay clutter can impede focusing attention on one layer of information from multiple sources, and influence dividing attention when comparing across layers. The current experiment examined the effect of information access effort and color commonality of overlay clutter on performance. Participants viewed maps with two domains of information that were either overlaid, adjacent, or separated, and answered questions about either both domains (integration) or one domain (focused attention). The overlaid information was either similar (green) or dissimilar (red) in color relative to the background. Overlaid displays benefited integration tasks but imposed a cost to focused attention tasks for accuracy but not response time. Increased display separation did not impose performance costs. Computational models account for some costs of clutter in overlay displays but the color similarity between databases also contributes to cost and benefits of overlay in a fashion not currently considered by such models.
{"title":"Effects of Color Commonality of Overlay Clutter and Information Access Effort on Tasks Requiring Visual Search","authors":"Amelia C. Warden, Christopher D. Wickens, Benjamin A. Clegg, Francisco R. Ortega","doi":"10.1177/21695067231192615","DOIUrl":"https://doi.org/10.1177/21695067231192615","url":null,"abstract":"The amount and color of overlay clutter can impede focusing attention on one layer of information from multiple sources, and influence dividing attention when comparing across layers. The current experiment examined the effect of information access effort and color commonality of overlay clutter on performance. Participants viewed maps with two domains of information that were either overlaid, adjacent, or separated, and answered questions about either both domains (integration) or one domain (focused attention). The overlaid information was either similar (green) or dissimilar (red) in color relative to the background. Overlaid displays benefited integration tasks but imposed a cost to focused attention tasks for accuracy but not response time. Increased display separation did not impose performance costs. Computational models account for some costs of clutter in overlay displays but the color similarity between databases also contributes to cost and benefits of overlay in a fashion not currently considered by such models.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192698
Youngjae Lee, Neil B. Alexander, Christopher T. Franck, Michael L. Madigan
Falls are the most common cause of non-fatal injuries, and trips are responsible for high percentages of those falls in the United States. Traditional method for estimating trunk kinematics during overground trips uses optical marker-based motion capture systems. However, their cost and space requirements can often be barriers in this research field. Inexpensive and portable inertial measurement units may be an appropriate alternative. This study compared trunk flexion angle and angular velocity at touchdown of the initial recovery step after laboratory-induced trips while walking captured by the optical markerbased motion capture system versus IMUs. Our results provide evidence that a sternum-worn IMU can provide trunk kinematic measurements of clinical relevance and may be used to provide meaningful data to understand kinematic responses to trips or trip-induced falls that occur in real life.
{"title":"Comparing Trunk Kinematics Computed by Optical Marker-Based Motion Capture System and Inertial Measurement Units During Overground Trips","authors":"Youngjae Lee, Neil B. Alexander, Christopher T. Franck, Michael L. Madigan","doi":"10.1177/21695067231192698","DOIUrl":"https://doi.org/10.1177/21695067231192698","url":null,"abstract":"Falls are the most common cause of non-fatal injuries, and trips are responsible for high percentages of those falls in the United States. Traditional method for estimating trunk kinematics during overground trips uses optical marker-based motion capture systems. However, their cost and space requirements can often be barriers in this research field. Inexpensive and portable inertial measurement units may be an appropriate alternative. This study compared trunk flexion angle and angular velocity at touchdown of the initial recovery step after laboratory-induced trips while walking captured by the optical markerbased motion capture system versus IMUs. Our results provide evidence that a sternum-worn IMU can provide trunk kinematic measurements of clinical relevance and may be used to provide meaningful data to understand kinematic responses to trips or trip-induced falls that occur in real life.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192903
Chelsea A. DeGuzman, Birsen Donmez
Understanding the factors influencing trust in advanced driver assistance systems (ADAS) may help inform training and education to support appropriate use. We surveyed 369 drivers with experience using both adaptive cruise control (ACC) and lane keeping assist (LKA). The survey included questions to assess trust in ADAS, along with objective knowledge about ADAS limitations, self-reported understanding of ADAS, familiarity with technology, propensity to trust technology, and demographics. Regression results showed that self-reported understanding, but not objective knowledge, predicted trust in ADAS. Self-reported understanding was not correlated with objective knowledge; overall, participants were not aware of many of the system limitations included in the survey. Propensity to trust technology was also a significant predictor of trust. Training/educational materials could be designed to inform drivers of potential gaps in their understanding and adjust expectations of ADAS to support appropriate trust for those with a high propensity to trust technology.
{"title":"Factors Influencing Trust in Advanced Driver Assistance Systems for Current Users","authors":"Chelsea A. DeGuzman, Birsen Donmez","doi":"10.1177/21695067231192903","DOIUrl":"https://doi.org/10.1177/21695067231192903","url":null,"abstract":"Understanding the factors influencing trust in advanced driver assistance systems (ADAS) may help inform training and education to support appropriate use. We surveyed 369 drivers with experience using both adaptive cruise control (ACC) and lane keeping assist (LKA). The survey included questions to assess trust in ADAS, along with objective knowledge about ADAS limitations, self-reported understanding of ADAS, familiarity with technology, propensity to trust technology, and demographics. Regression results showed that self-reported understanding, but not objective knowledge, predicted trust in ADAS. Self-reported understanding was not correlated with objective knowledge; overall, participants were not aware of many of the system limitations included in the survey. Propensity to trust technology was also a significant predictor of trust. Training/educational materials could be designed to inform drivers of potential gaps in their understanding and adjust expectations of ADAS to support appropriate trust for those with a high propensity to trust technology.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192707
Tiffany G. Lui, Lucas J. Hess, Eric T. Greenlee, Patricia R. DeLucia
The current study sought to extend upon the findings of DeLucia et al. (2018), who observed a vigilance decrement when observers were asked to detect the presence of an elementary perceptual feature. A second, harder condition was introduced that asked participants to search for the absence of an elementary perceptual feature. Results indicated that correct detections and response time were worse in the feature-absence condition than in the feature-presence condition, and both conditions elicited progressively slower response times as the task progressed (i.e., a vigilance decrement). Eye-tracking data suggested that searching for feature-presence was more efficient than searching for feature-absence. These results echo those of DeLucia et al., indicating that elementary feature detection is not automatic and cannot protect fully against the vigilance decrement. Our results also suggest that display designs that task users with detecting elementary features can augment overall, average vigilance performance.
{"title":"Effect of Task Demands on Elementary Features in Vigilance","authors":"Tiffany G. Lui, Lucas J. Hess, Eric T. Greenlee, Patricia R. DeLucia","doi":"10.1177/21695067231192707","DOIUrl":"https://doi.org/10.1177/21695067231192707","url":null,"abstract":"The current study sought to extend upon the findings of DeLucia et al. (2018), who observed a vigilance decrement when observers were asked to detect the presence of an elementary perceptual feature. A second, harder condition was introduced that asked participants to search for the absence of an elementary perceptual feature. Results indicated that correct detections and response time were worse in the feature-absence condition than in the feature-presence condition, and both conditions elicited progressively slower response times as the task progressed (i.e., a vigilance decrement). Eye-tracking data suggested that searching for feature-presence was more efficient than searching for feature-absence. These results echo those of DeLucia et al., indicating that elementary feature detection is not automatic and cannot protect fully against the vigilance decrement. Our results also suggest that display designs that task users with detecting elementary features can augment overall, average vigilance performance.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"60 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192569
Aimée A. Kane, Susannah B. F. Paletz, Sarah H. Vahlkamp, Tammie Nelson, Adam Porter, Madeline Diep, Melissa Carraway
Intelligence analysts pore over myriad sources to identify key facts, make sense of them, and use that “sensemaking” to inform mission-critical action. Often these operations are conducted 24/7 with analysts working in shifts. To understand these processes in situ, we conducted interviews with seven former and current United States intelligence analysts. We develop theory and advance a descriptive model of shift handover processes in this domain, which takes into account sensemaking, the communication process, and the features of big data. Our qualitative analysis reveals the following tensions analysts face in shift handovers (1) narrowing versus broadening one’s own sensemaking, (2) sensemaking versus encoding for the subsequent analyst, and (3) trusting versus validating the prior analyst’s sensemaking. In addition, we describe several practical takeaways.
{"title":"Intelligence Analysis Shift Work: Sensemaking Processes, Tensions, and Takeaways","authors":"Aimée A. Kane, Susannah B. F. Paletz, Sarah H. Vahlkamp, Tammie Nelson, Adam Porter, Madeline Diep, Melissa Carraway","doi":"10.1177/21695067231192569","DOIUrl":"https://doi.org/10.1177/21695067231192569","url":null,"abstract":"Intelligence analysts pore over myriad sources to identify key facts, make sense of them, and use that “sensemaking” to inform mission-critical action. Often these operations are conducted 24/7 with analysts working in shifts. To understand these processes in situ, we conducted interviews with seven former and current United States intelligence analysts. We develop theory and advance a descriptive model of shift handover processes in this domain, which takes into account sensemaking, the communication process, and the features of big data. Our qualitative analysis reveals the following tensions analysts face in shift handovers (1) narrowing versus broadening one’s own sensemaking, (2) sensemaking versus encoding for the subsequent analyst, and (3) trusting versus validating the prior analyst’s sensemaking. In addition, we describe several practical takeaways.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"83 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192913
Amelia Kinsella, Edward Bynum, R. Jordan Hinson, Katherine Berry, Michael Sawyer
Voluntary Safety Reporting Programs (VSRPs) create an opportunity for actively identifying potential safety issues within aviation operations. However, manually reading and analyzing these reports can be labor-intensive and heavily relies on subject-matter experts. The full potential of VSRP data is difficult to achieve due to limited resources available to extract meaningful human factors (HF) data from reports. New machine learning (ML) techniques involving natural language processing (NLP) offer opportunities to label factors of interest within safety reports more efficiently and effectively. A novel ML model was developed to identify HF issues within aviation safety reports. The AVIAN-S model was trained on over 50,000 rows of manually classified VSRPs. The model uses ML and NLP to automate the process of labeling aviation safety reporting data and coding reporter narratives according to an established HF taxonomy. Preliminary results and implications for using the AVIAN-S model for analyzing aviation safety event reports are described.
{"title":"Project AVIAN: Implications of Utilizing the Novel AVIAN-S Machine Learning Model in Analyzing Aviation Safety Event Reports","authors":"Amelia Kinsella, Edward Bynum, R. Jordan Hinson, Katherine Berry, Michael Sawyer","doi":"10.1177/21695067231192913","DOIUrl":"https://doi.org/10.1177/21695067231192913","url":null,"abstract":"Voluntary Safety Reporting Programs (VSRPs) create an opportunity for actively identifying potential safety issues within aviation operations. However, manually reading and analyzing these reports can be labor-intensive and heavily relies on subject-matter experts. The full potential of VSRP data is difficult to achieve due to limited resources available to extract meaningful human factors (HF) data from reports. New machine learning (ML) techniques involving natural language processing (NLP) offer opportunities to label factors of interest within safety reports more efficiently and effectively. A novel ML model was developed to identify HF issues within aviation safety reports. The AVIAN-S model was trained on over 50,000 rows of manually classified VSRPs. The model uses ML and NLP to automate the process of labeling aviation safety reporting data and coding reporter narratives according to an established HF taxonomy. Preliminary results and implications for using the AVIAN-S model for analyzing aviation safety event reports are described.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"85 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192643
Julie L. Harrison, Jamie C. Gorman, Jason G. Reitman, Sidney D’Mello
Collaborative problem solving (CPS) is an important skill in the modern workforce, and due to its interactive nature, is challenging to assess. The present study builds on work in team sciences to provide initial validation for a metric that quantifies CPS influence—the extent to which each individual contributes toward the team’s CPS processes—using average mutual information (AMI). The measure is investigated in teams collaborating in a computer programming task, where one teammate was assigned to a controller role (i.e., the only person who engaged with the task interface directly). Results suggest the controller had more influence over the team’s CPS processes than the other participants in the triad, providing initial validation for the influence metric. Future work will investigate the measure in classrooms and multiple modalities, and extend the metric in real-time to understand how influence fluctuates over the course of collaboration.
{"title":"Toward the Validation of a Novel Measure of Individuals’ Influence During Team Collaborations","authors":"Julie L. Harrison, Jamie C. Gorman, Jason G. Reitman, Sidney D’Mello","doi":"10.1177/21695067231192643","DOIUrl":"https://doi.org/10.1177/21695067231192643","url":null,"abstract":"Collaborative problem solving (CPS) is an important skill in the modern workforce, and due to its interactive nature, is challenging to assess. The present study builds on work in team sciences to provide initial validation for a metric that quantifies CPS influence—the extent to which each individual contributes toward the team’s CPS processes—using average mutual information (AMI). The measure is investigated in teams collaborating in a computer programming task, where one teammate was assigned to a controller role (i.e., the only person who engaged with the task interface directly). Results suggest the controller had more influence over the team’s CPS processes than the other participants in the triad, providing initial validation for the influence metric. Future work will investigate the measure in classrooms and multiple modalities, and extend the metric in real-time to understand how influence fluctuates over the course of collaboration.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"31 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192859
Haoyan Jiang, Sachi Mizobuchi, Mark Chignell
Driver mental workload may represent a mismatch between task demands and available mental resources. If driving mental workload arises from a mismatch involving executive functions, then drivers with more executive function ability should perceive less mental workload in driving situations. To test this hypothesis, 33 participants rated the mental workload associated with 16 driving scenarios and also carried out three cognitive assessment games designed to measure executive functions (response inhibition, working memory updating, switching/shifting). We found a significant relationship between two of the executive function abilities (response inhibition, and switching/shifting, but not working memory updating) and mental workload ratings. With an increase in the age of participants, we observed lower response inhibition and higher perceived mental workload after viewing representations of driving scenarios. These results demonstrate that previous results showing higher perceived mental workload for older drivers may be, at least partly, due to decreases in executive function ability as people age.
{"title":"Lower Executive Function Ability May Lead to Higher Perceived Mental Workload in Driving Scenarios","authors":"Haoyan Jiang, Sachi Mizobuchi, Mark Chignell","doi":"10.1177/21695067231192859","DOIUrl":"https://doi.org/10.1177/21695067231192859","url":null,"abstract":"Driver mental workload may represent a mismatch between task demands and available mental resources. If driving mental workload arises from a mismatch involving executive functions, then drivers with more executive function ability should perceive less mental workload in driving situations. To test this hypothesis, 33 participants rated the mental workload associated with 16 driving scenarios and also carried out three cognitive assessment games designed to measure executive functions (response inhibition, working memory updating, switching/shifting). We found a significant relationship between two of the executive function abilities (response inhibition, and switching/shifting, but not working memory updating) and mental workload ratings. With an increase in the age of participants, we observed lower response inhibition and higher perceived mental workload after viewing representations of driving scenarios. These results demonstrate that previous results showing higher perceived mental workload for older drivers may be, at least partly, due to decreases in executive function ability as people age.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"44 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135169464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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