Pub Date : 2023-10-25DOI: 10.1177/21695067231200874
Connor Wurst, Huei-Yen Winnie Chen, Robert Wahler, Kelly Tenzek, Ranjit Singh, Matthew Cosmai, Alexandria Wahler, Scott Monte
Deprescription is the process by which a physician supervises a patient’s withdrawal or dose reduction of a given medication due to side effects or diminishing efficacy. Prior studies on the process of deprescription have resulted in a number of models, two of which are used in this pilot study alongside the decision ladder to construct a novel analytic method. Initial findings indicate that this approach can offer unique insight into the deprescription process, particularly regarding the paths physicians take through the decision making process and when certain factors are most important. These early results are limited but lay the foundation for a rich variety of future work.
{"title":"Control Task Analysis of the Deprescription Process: A Pilot Study","authors":"Connor Wurst, Huei-Yen Winnie Chen, Robert Wahler, Kelly Tenzek, Ranjit Singh, Matthew Cosmai, Alexandria Wahler, Scott Monte","doi":"10.1177/21695067231200874","DOIUrl":"https://doi.org/10.1177/21695067231200874","url":null,"abstract":"Deprescription is the process by which a physician supervises a patient’s withdrawal or dose reduction of a given medication due to side effects or diminishing efficacy. Prior studies on the process of deprescription have resulted in a number of models, two of which are used in this pilot study alongside the decision ladder to construct a novel analytic method. Initial findings indicate that this approach can offer unique insight into the deprescription process, particularly regarding the paths physicians take through the decision making process and when certain factors are most important. These early results are limited but lay the foundation for a rich variety of future work.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"6 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135112915","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: 10.1177/21695067231192911
Alexandra T. Watral, Abby Morley, Robert Pastel, Kevin M. Trewartha
Current laboratory approaches to measuring motor learning are not accessible to all populations, limiting research about developmental processes and medical conditions that impact motor control. We recently created a web-based application remote assessment of visuomotor adaptation, a gold-standard approach to studying motor learning. Previously, we validated this application in younger and older adults. However, preliminary analyses suggested that the input device (mouse or trackpad) may have impacted performance. The current study directly evaluated performance differences in younger adults using the application with a mouse compared to a trackpad. Results showed no statistically significant differences in learning curves or movement times between groups, but reaction time was significantly faster in mouse users. While the input device had very little impact on motor learning, slower reaction time when using a trackpad may be related to increased cognitive demands or reduced movement efficiency compared to using a mouse for this task.
{"title":"Comparing mouse versus trackpad input in a web-based app for assessing motor learning","authors":"Alexandra T. Watral, Abby Morley, Robert Pastel, Kevin M. Trewartha","doi":"10.1177/21695067231192911","DOIUrl":"https://doi.org/10.1177/21695067231192911","url":null,"abstract":"Current laboratory approaches to measuring motor learning are not accessible to all populations, limiting research about developmental processes and medical conditions that impact motor control. We recently created a web-based application remote assessment of visuomotor adaptation, a gold-standard approach to studying motor learning. Previously, we validated this application in younger and older adults. However, preliminary analyses suggested that the input device (mouse or trackpad) may have impacted performance. The current study directly evaluated performance differences in younger adults using the application with a mouse compared to a trackpad. Results showed no statistically significant differences in learning curves or movement times between groups, but reaction time was significantly faster in mouse users. While the input device had very little impact on motor learning, slower reaction time when using a trackpad may be related to increased cognitive demands or reduced movement efficiency compared to using a mouse for this task.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"4 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":"135113377","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: 10.1177/21695067231192927
Liam Kettle, Kayla M. G. Herrera, Pawinee Pithayarungsarit, Kassidy L. Simpson, Yi-Ching Lee
Vehicle manufacturers are advancing their automated driving system (ADS) capabilities with enhanced transparency features. Research supports driving assistants (DA) and augmented reality (AR) displays for conveying the ADS status, actions, and road environment elements. However, providing continuous or irrelevant information degrades driving performance and attitudes towards the ADS. Therefore, the current study sought to create a framework for specific communication features that would enhance drivers’ trust and situation awareness via DA and AR stimuli. Participants watched various driving scenarios and provided their desired communication features to improve trust and situation awareness across modalities. Results identified key themes consistent across events (i.e., current/intended vehicle actions) as well as context-dependent themes such as police presence or pedestrian detection and location. In contrast, auditory cues were identified as redundant across events. These findings can support researchers to focus on relevant information to enhance drivers’ attitudes, awareness, and safety while operating ADS-equipped vehicles.
{"title":"A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness","authors":"Liam Kettle, Kayla M. G. Herrera, Pawinee Pithayarungsarit, Kassidy L. Simpson, Yi-Ching Lee","doi":"10.1177/21695067231192927","DOIUrl":"https://doi.org/10.1177/21695067231192927","url":null,"abstract":"Vehicle manufacturers are advancing their automated driving system (ADS) capabilities with enhanced transparency features. Research supports driving assistants (DA) and augmented reality (AR) displays for conveying the ADS status, actions, and road environment elements. However, providing continuous or irrelevant information degrades driving performance and attitudes towards the ADS. Therefore, the current study sought to create a framework for specific communication features that would enhance drivers’ trust and situation awareness via DA and AR stimuli. Participants watched various driving scenarios and provided their desired communication features to improve trust and situation awareness across modalities. Results identified key themes consistent across events (i.e., current/intended vehicle actions) as well as context-dependent themes such as police presence or pedestrian detection and location. In contrast, auditory cues were identified as redundant across events. These findings can support researchers to focus on relevant information to enhance drivers’ attitudes, awareness, and safety while operating ADS-equipped vehicles.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"6 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":"135113694","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: 10.1177/21695067231193683
Jad A. Atweh, Jackie Al Hayek, Sara L. Riggs
Cross-recurrence quantification analysis (CRQA) metrics may offer a means to provide information about the quality of collaboration in real-time. The goal of the present work is to use Area of Interest (AOI) based CRQA metrics to analyze the eye-tracking data of 10 pairs who participated in a shared unmanned aerial vehicle (UAV) command and control task. We are interested in how teams respond to workload transitions and how it affects AOI-based CRQA metrics. The results showed that as workload increased, team members spent a longer time on the same task which may indicate that they are coordinating together on a task, or they are not adapting and getting “trapped” in certain tasks. The findings suggest that CRQA AOIbased metrics are sensitive to workload changes and validate these metrics in unraveling the visual puzzle of how workload impacts scanpath patterns which contribute to quantifying the adaptation process of pairs over time. This also has the potential to inform the design of real-time technology in the future.
{"title":"Quantifying Visual Attention of Teams During Workload Transitions Using AOI-Based Cross-Recurrence Metrics","authors":"Jad A. Atweh, Jackie Al Hayek, Sara L. Riggs","doi":"10.1177/21695067231193683","DOIUrl":"https://doi.org/10.1177/21695067231193683","url":null,"abstract":"Cross-recurrence quantification analysis (CRQA) metrics may offer a means to provide information about the quality of collaboration in real-time. The goal of the present work is to use Area of Interest (AOI) based CRQA metrics to analyze the eye-tracking data of 10 pairs who participated in a shared unmanned aerial vehicle (UAV) command and control task. We are interested in how teams respond to workload transitions and how it affects AOI-based CRQA metrics. The results showed that as workload increased, team members spent a longer time on the same task which may indicate that they are coordinating together on a task, or they are not adapting and getting “trapped” in certain tasks. The findings suggest that CRQA AOIbased metrics are sensitive to workload changes and validate these metrics in unraveling the visual puzzle of how workload impacts scanpath patterns which contribute to quantifying the adaptation process of pairs over time. This also has the potential to inform the design of real-time technology in the future.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"193 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":"135216265","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: 10.1177/21695067231193671
Chunxi Huang, Song Yan, Dengbo He
Previous studies evaluated drivers’ knowledge of advanced driver assistance systems (ADAS) using different kinds of percent-correctness-based mental model scores (MMS), which makes cross-study comparisons difficult. To resolve this issue, our study explored the use of sensitivity (i.e., d-prime ( d’)) and response bias (i.e., criterion location ( c)) in signal detection theory (SDT) as a measure of drivers’ ADAS mental models. Based on the data collected from a survey among 287 ADAS users, regression models were fitted, and it was found that d’ and c accounted for a large variance when estimating drivers’ ADAS mental models as measured by MMSs (adjusted R 2 > 0.8). Further, predictors of MMSs were also predictors of d’ and c, but d’ and c include additional information that was not covered in MMSs. These findings support the usage of d’ and c as standard metrics for assessing drivers’ ADAS mental models in future research.
{"title":"Assessing Drivers’ Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory","authors":"Chunxi Huang, Song Yan, Dengbo He","doi":"10.1177/21695067231193671","DOIUrl":"https://doi.org/10.1177/21695067231193671","url":null,"abstract":"Previous studies evaluated drivers’ knowledge of advanced driver assistance systems (ADAS) using different kinds of percent-correctness-based mental model scores (MMS), which makes cross-study comparisons difficult. To resolve this issue, our study explored the use of sensitivity (i.e., d-prime ( d’)) and response bias (i.e., criterion location ( c)) in signal detection theory (SDT) as a measure of drivers’ ADAS mental models. Based on the data collected from a survey among 287 ADAS users, regression models were fitted, and it was found that d’ and c accounted for a large variance when estimating drivers’ ADAS mental models as measured by MMSs (adjusted R 2 > 0.8). Further, predictors of MMSs were also predictors of d’ and c, but d’ and c include additional information that was not covered in MMSs. These findings support the usage of d’ and c as standard metrics for assessing drivers’ ADAS mental models in future research.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"53 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":"135217670","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: 10.1177/21695067231192925
Wenbi Wang, Jimmy Le
Flexible work arrangements (FWA) widely proliferated around the world during the covid pandemic lockdown. A new multi-dimensional taxonomy was proposed in this paper to classify different forms of FWA according to the degree of autonomy that a policy offers to employees with respect to their spatial mobility, temporal flexibility, and the degree of freedom from supervision. This taxonomy reflects the defining features of contemporary flexible working. It enables researchers and business decision-makers to categorize different forms of FWA, meaningfully compare their impacts on organizational and individual performance metrics, and support an evidence-based approach to inform the establishment of post-pandemic FWA policies.
{"title":"A new taxonomy to categorize flexible work arrangements for post-covid organizational work planning","authors":"Wenbi Wang, Jimmy Le","doi":"10.1177/21695067231192925","DOIUrl":"https://doi.org/10.1177/21695067231192925","url":null,"abstract":"Flexible work arrangements (FWA) widely proliferated around the world during the covid pandemic lockdown. A new multi-dimensional taxonomy was proposed in this paper to classify different forms of FWA according to the degree of autonomy that a policy offers to employees with respect to their spatial mobility, temporal flexibility, and the degree of freedom from supervision. This taxonomy reflects the defining features of contemporary flexible working. It enables researchers and business decision-makers to categorize different forms of FWA, meaningfully compare their impacts on organizational and individual performance metrics, and support an evidence-based approach to inform the establishment of post-pandemic FWA policies.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"68 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218525","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: 10.1177/21695067231192560
Grace Barnhart, Shala Knocton, Aren Hunter, Lori Dithurbide, Heather Neyedli
In target detection tasks false alarms (i.e., indicating a target is present when it is absent) decrease trust more than misses. Furthermore, human advisors providing advice at the same time as automation, may impact how users trust and subsequently rely on automated aids. This study aimed to understand whether the false alarm rate (FAR) of an automated target recognition aid impacts trust in the automated aid, trust in a human teammate, or operator self-confidence in a dual-advisor target detection task. Participants completed a mine detection task while receiving advice from a human and an automated advisor. The FAR of the automation was manipulated between groups and trust in each type of advisor was measured. Automation FAR did not influence trust in the automation. Low FAR automation was associated with higher trust in a human teammate and increasing self-confidence over the course of the experiment.
{"title":"Interpersonal and Human-Automation Trust in an Underwater Mine Detection Task","authors":"Grace Barnhart, Shala Knocton, Aren Hunter, Lori Dithurbide, Heather Neyedli","doi":"10.1177/21695067231192560","DOIUrl":"https://doi.org/10.1177/21695067231192560","url":null,"abstract":"In target detection tasks false alarms (i.e., indicating a target is present when it is absent) decrease trust more than misses. Furthermore, human advisors providing advice at the same time as automation, may impact how users trust and subsequently rely on automated aids. This study aimed to understand whether the false alarm rate (FAR) of an automated target recognition aid impacts trust in the automated aid, trust in a human teammate, or operator self-confidence in a dual-advisor target detection task. Participants completed a mine detection task while receiving advice from a human and an automated advisor. The FAR of the automation was manipulated between groups and trust in each type of advisor was measured. Automation FAR did not influence trust in the automation. Low FAR automation was associated with higher trust in a human teammate and increasing self-confidence over the course of the experiment.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"29 2-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135112768","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: 10.1177/21695067231192609
Lilit Sargsyan, Seungju Choi, Sang-Hwan Kim
As the use of voice assistant (VA) systems is increasing, conversation design in the system is important for effective human-system interaction. The objective of the study was to investigate the level of user preference for VA outputs in terms of linguistics. Answers of three VA systems for each of the nine questions were collected and categorized for distinctive linguistic factors such as type of theme, thematic progression, number of predications, and ellipsis. The VA answers were evaluated through an online survey. Results show that linguistic factors and features significantly affect user preference for VA outputs. The results imply that the linguistic features need to be considered for designing voice interaction communications as a natural interaction method.
{"title":"Investigating User Preferences for Conversation Design of Voice Assistant Systems using Linguistic Features","authors":"Lilit Sargsyan, Seungju Choi, Sang-Hwan Kim","doi":"10.1177/21695067231192609","DOIUrl":"https://doi.org/10.1177/21695067231192609","url":null,"abstract":"As the use of voice assistant (VA) systems is increasing, conversation design in the system is important for effective human-system interaction. The objective of the study was to investigate the level of user preference for VA outputs in terms of linguistics. Answers of three VA systems for each of the nine questions were collected and categorized for distinctive linguistic factors such as type of theme, thematic progression, number of predications, and ellipsis. The VA answers were evaluated through an online survey. Results show that linguistic factors and features significantly affect user preference for VA outputs. The results imply that the linguistic features need to be considered for designing voice interaction communications as a natural interaction method.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"46 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":"135113100","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: 10.1177/21695067231192538
Liwei Qing, Bingyi Su, Ziyang Xie, Sehee Jung, Lu Lu, Hanwen Wang, Xu Xu, Edward P. Fitts
In recent years, there has been a trend to adopt human-robot collaboration (HRC) in the industry. In previous studies, computer vision-aided human pose reconstruction is applied to find the optimal position of point of operation in HRC that can reduce workers’ musculoskeletal disorder (MSD) risks due to awkward working postures. However, the reconstruction of human pose through computer-vision may fail due to the complexity of the workplace environment. In this study, we propose a data-driven method for optimizing the position of point of operation during HRC. A conditional variational auto-encoder (cVAE) model-based approach is adopted, which includes three steps. First, a cVAE model was trained using an open-access multimodal human posture dataset. After training, this model can output a simulated worker posture of which the hand position can reach a given position of point of operation. Next, an awkward posture score is calculated to evaluate MSD risks associated with the generated postures with a variety of positions of point of operation. The position of point of operation that is associated with a minimum awkward posture score is then selected for an HRC task. An experiment was conducted to validate the effectiveness of this method. According to the findings, the proposed method produced a point of operation position that was similar to the one chosen by participants through subjective selection, with an average difference of 4.5 cm.
{"title":"A Conditional Variational Auto-encoder Model for Reducing Musculoskeletal Disorder Risk during a Human-Robot Collaboration Task","authors":"Liwei Qing, Bingyi Su, Ziyang Xie, Sehee Jung, Lu Lu, Hanwen Wang, Xu Xu, Edward P. Fitts","doi":"10.1177/21695067231192538","DOIUrl":"https://doi.org/10.1177/21695067231192538","url":null,"abstract":"In recent years, there has been a trend to adopt human-robot collaboration (HRC) in the industry. In previous studies, computer vision-aided human pose reconstruction is applied to find the optimal position of point of operation in HRC that can reduce workers’ musculoskeletal disorder (MSD) risks due to awkward working postures. However, the reconstruction of human pose through computer-vision may fail due to the complexity of the workplace environment. In this study, we propose a data-driven method for optimizing the position of point of operation during HRC. A conditional variational auto-encoder (cVAE) model-based approach is adopted, which includes three steps. First, a cVAE model was trained using an open-access multimodal human posture dataset. After training, this model can output a simulated worker posture of which the hand position can reach a given position of point of operation. Next, an awkward posture score is calculated to evaluate MSD risks associated with the generated postures with a variety of positions of point of operation. The position of point of operation that is associated with a minimum awkward posture score is then selected for an HRC task. An experiment was conducted to validate the effectiveness of this method. According to the findings, the proposed method produced a point of operation position that was similar to the one chosen by participants through subjective selection, with an average difference of 4.5 cm.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"202 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":"135113446","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: 10.1177/21695067231192273
Braden Westby, Richard Stone, Colten Fales, Desmond Bonner
In a delicate balancing act between improving public relations and enhancing functionality and safety, law enforcement agencies often revisit the standards for their uniforms. Many experiments have been conducted over the years in reference to uniform color, but comparatively little research has been conducted relating to the implementation of accessories. In this study, we demonstrate that the use of “formal accessories” (as worn on a Class A uniform) may impact the public’s perception of police, particularly in reference to their perceived professionalism, authority, competence, and approachability.
{"title":"Law Enforcement Uniforms and Public Perception: An Overview and Pilot Study","authors":"Braden Westby, Richard Stone, Colten Fales, Desmond Bonner","doi":"10.1177/21695067231192273","DOIUrl":"https://doi.org/10.1177/21695067231192273","url":null,"abstract":"In a delicate balancing act between improving public relations and enhancing functionality and safety, law enforcement agencies often revisit the standards for their uniforms. Many experiments have been conducted over the years in reference to uniform color, but comparatively little research has been conducted relating to the implementation of accessories. In this study, we demonstrate that the use of “formal accessories” (as worn on a Class A uniform) may impact the public’s perception of police, particularly in reference to their perceived professionalism, authority, competence, and approachability.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"57 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113632","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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