{"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}
Sunwook Kim, Albert Moore, Aanuoluwapo Ojelade, Nancy Gutierrez, Carisa Harris-Adamson, Alan Barr, Divya Srinivasan, Maury A. Nussbaum
{"title":"A data-driven approach to understand factors contributing to exoskeleton use-intention in construction","authors":"Sunwook Kim, Albert Moore, Aanuoluwapo Ojelade, Nancy Gutierrez, Carisa Harris-Adamson, Alan Barr, Divya Srinivasan, Maury A. Nussbaum","doi":"10.1177/21695067231192932","DOIUrl":"https://doi.org/10.1177/21695067231192932","url":null,"abstract":"Work-related musculoskeletal disorders (WMSDs) remain an important heath concern for construction workers. Occupational exoskeletons (EXOs) are a new ergonomic intervention to control WMSD risk, yet their adoption has been low in construction. We explored contributing factors to EXO use-intention, by building a decision tree to predict the intention to try an exoskeleton using responses to an online survey. Variable selection and hyperparameter tuning were used respectively to reduce the number of potential predictors, and for a better prediction performance. Performance was assessed using four common metrics. The importance of variables in the final tree was calculated to understand which variable had a greater influence. The final tree had moderate prediction performance. Important variables identified were associated with opinions on EXO use, demographics, job demands, and perceived potential risks. The key influential variables were EXOs becoming standard equipment and fatigue reduction with EXO use. Practical implications of the findings are discussed.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"35 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":"135113185","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}
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}
{"title":"Use of Trajectory Option Sets to Support Collaborative Constraint Propagation","authors":"Philip J. Smith, Tanya Yuditsky, Bart Brickman","doi":"10.1177/21695067231192899","DOIUrl":"https://doi.org/10.1177/21695067231192899","url":null,"abstract":"Air traffic flow management is supported by a highly distributed work system in which airline dispatchers and Federal Aviation Administration (FAA) traffic managers must coordinate. To support asynchronous coordination between a dispatcher and a traffic manager, the FAA has developed software that allows the flight operators to submit multiple, prioritized alternative flight plans. This set of alternative flight plans, submitted along with a filed route, is referred to as a Trajectory Option Set (TOS). And some airlines have now developed initial versions of software capable of generating and submitting such TOSs. This paper reports on cognitive walkthroughs with 5 dispatchers and 3 traffic managers on 5 scenarios designed to evaluate the operational concept, procedures and supporting FAA and airline software. The findings provide guidance for application of the concept of collaborative constraint propagation to support distributed work, as well as 42 recommendations for enhancing associated procedures and supporting software designs.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"84 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135112667","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}
Connor Wurst, Huei-Yen Winnie Chen, Robert Wahler, Kelly Tenzek, Ranjit Singh, Matthew Cosmai, Alexandria Wahler, Scott Monte
{"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}
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}
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}
{"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}
{"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}
{"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}