Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting最新文献_第6页

Comparing mouse versus trackpad input in a web-based app for assessing motor learning 在一个基于网络的应用程序中比较鼠标和触控板的输入，以评估运动学习

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192911

Alexandra T. Watral, Abby Morley, Robert Pastel, Kevin M. Trewartha

{"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}

引用次数: 0

A Framework of Vehicle-Human Communication Features at Traffic Intersections to Enhance Trust and Situation Awareness 交通路口车辆-人通信特征框架以增强信任和态势感知

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192927

Liam Kettle, Kayla M. G. Herrera, Pawinee Pithayarungsarit, Kassidy L. Simpson, Yi-Ching Lee

{"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}

引用次数: 0

Impacts of Roadside Vegetation and Lane Width on Speed Management in Rural Roads 路边植被和车道宽度对农村公路车速管理的影响

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192639

Jiabei Wu, Jiachen Jiang, Vincent Duffy, Jue Zhou, Yaobin Chen, Renran Tian, Dan McCoy, Taylor Ruble

{"title":"Impacts of Roadside Vegetation and Lane Width on Speed Management in Rural Roads","authors":"Jiabei Wu, Jiachen Jiang, Vincent Duffy, Jue Zhou, Yaobin Chen, Renran Tian, Dan McCoy, Taylor Ruble","doi":"10.1177/21695067231192639","DOIUrl":"https://doi.org/10.1177/21695067231192639","url":null,"abstract":"Effective speed management in transition areas is crucial. Although numerous studies have proposed countermeasures to ensure driving safety, little research has been conducted on identifying effective and low-cost countermeasures for speed management when transitioning from rural roads to small towns. This study proposes two countermeasures: roadside vegetation and change in lane width and investigates the impact of these countermeasures on speed management performance in this context using a driving simulator experiment. Thirty participants completed eight scenarios, and countermeasures were evaluated based on stabilized speed, minimum speed, and in-town average speed. Results showed that stabilized speed and minimum speed decreased significantly in the combination of narrow lane and different vegetation designs compared to the baseline. Post-countermeasure in-town average speed didn’t decrease significantly in all scenarios. These findings suggest that roadside vegetations and narrow lane width can be effective for speed management in the transition from rural roads to small towns.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"38 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":"135113911","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}

引用次数: 0

Exploratory Analysis of Automated Vehicle Crashes Using an NLP Pipeline 基于NLP管道的自动车辆碰撞探索性分析

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231194987

Anjnesh Sharma, Na Du

{"title":"Exploratory Analysis of Automated Vehicle Crashes Using an NLP Pipeline","authors":"Anjnesh Sharma, Na Du","doi":"10.1177/21695067231194987","DOIUrl":"https://doi.org/10.1177/21695067231194987","url":null,"abstract":"This study utilized a recently released crash dataset of Level 3 automated vehicles (AVs) made publicly available by the National Highway Traffic Safety Administration (NHTSA). The primary objective was to investigate various crash types and identify factors that influence crash severity. To achieve this, we employed a lightweight Natural Language Processing (NLP) pipeline to automatically extract relevant information from crash narratives and categorized the crashes into 15 distinct types. By analyzing the dependency triples derived from the crash narrative using the Stanford CoreNLP library, we determined the similarity between each narrative and the predefined categories. Our findings highlight safety-critical crash scenarios based on real-world data encompassing diverse operational design domains (ODDs), revealing a statistically significant impact of lighting conditions on crash severity. These results contribute to a better understanding of AV crashes and provide valuable insights to enhance the safe testing, integration, and development of AVs in real-world environments.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"19 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":"135113913","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}

引用次数: 0

Academic procrastination as a mediator between learning environment and academic performance 学习拖延在学习环境与学习成绩之间的中介作用

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192638

Tianchen Sun, Roger Huynh, Ji-Eun Kim

{"title":"Academic procrastination as a mediator between learning environment and academic performance","authors":"Tianchen Sun, Roger Huynh, Ji-Eun Kim","doi":"10.1177/21695067231192638","DOIUrl":"https://doi.org/10.1177/21695067231192638","url":null,"abstract":"Learning environment variables, such as online/in-person learning and time in academic term, are known to increase students’ academic procrastination and worsen their academic performance. However, the role of academic procrastination in the relationship between learning environment and academic performance remains unclear. The objective of the present study was to investigate the multivariate relationships among learning environment variables, including online/in-person classrooms and time in academic term; academic procrastination; and academic performance simultaneously in an integrated model. A longitudinal field study consisting of 120 undergraduate participants was conducted from 2019 to 2022. A structural equation model was constructed to test the relationships among variables. The results showed that in the second half of the academic quarter in online learning environments, students procrastinated more and submitted assignments close to the deadline, which resulted in low academic performance. Students’ academic procrastination mediated the relationship between learning environment and academic performance.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"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":"135216012","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}

引用次数: 0

A review of best practices, standards, and approaches for transportation safety data and driver state prediction 交通安全数据和驾驶员状态预测的最佳实践、标准和方法综述

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192428

David Nartey, Hananeh Alambeigi, Anthony D. McDonald, Eva Shipp, Michael Manser, Scott Christensen, John K. Lenneman, Elizabeth Pulver

{"title":"A review of best practices, standards, and approaches for transportation safety data and driver state prediction","authors":"David Nartey, Hananeh Alambeigi, Anthony D. McDonald, Eva Shipp, Michael Manser, Scott Christensen, John K. Lenneman, Elizabeth Pulver","doi":"10.1177/21695067231192428","DOIUrl":"https://doi.org/10.1177/21695067231192428","url":null,"abstract":"This systematic review documents current best practices, standards, and approaches for transportation safety data analytics. While standards exist for defining measures, there are few available standards or guides for processing driving and driver data. Standards are crucial for ensuring repeatability and appropriate cost-benefit decisions. The review identified 36 relevant studies describing behavioral and physiological measures. Most studies do not comprehensively report data processing steps. Of the studies that did report data processing steps, few analyzed the impact of decisions made during data processing on algorithm performance. Most studies were conducted in a controlled simulator environment and may not generalize to naturalistic settings. The findings show that driver behavior and physiological data show efficacy for detecting fatigue, distraction, stress, and driver errors. The results of these studies may necessitate additional data processing standards and future work should focus on measuring the effects of data decisions on model performance.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"2 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":"135218365","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}

引用次数: 0

Quantifying Visual Attention of Teams During Workload Transitions Using AOI-Based Cross-Recurrence Metrics 使用基于aoi的交叉递归度量来量化工作负载转换期间团队的视觉注意力

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231193683

Jad A. Atweh, Jackie Al Hayek, Sara L. Riggs

{"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}

引用次数: 0

Assessing Drivers’ Mental Model Of Advanced Driver Assistance Systems Using Signal Detection Theory 利用信号检测理论评估高级驾驶辅助系统驾驶员的心理模型

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231193671

Chunxi Huang, Song Yan, Dengbo He

引用次数: 0

A new taxonomy to categorize flexible work arrangements for post-covid organizational work planning 一种新的分类方法，对灵活的工作安排进行分类，以便在疫情后进行组织工作规划

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192925

Wenbi Wang, Jimmy Le

引用次数: 0

Interpersonal and Human-Automation Trust in an Underwater Mine Detection Task 水下水雷探测任务中的人际信任与人-自动化信任

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting Pub Date : 2023-10-25 DOI: 10.1177/21695067231192560

Grace Barnhart, Shala Knocton, Aren Hunter, Lori Dithurbide, Heather Neyedli

引用次数: 0