Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting最新文献

{"title":"The Development of the Trust in Self-Driving Vehicles Scale (TSDV)","authors":"Ian W. T. Robertson, Philip Kortum, Claudia Ziegler Acemyan, Frederick L. Oswald","doi":"10.1177/21695067231192515","DOIUrl":"https://doi.org/10.1177/21695067231192515","url":null,"abstract":"Self-driving vehicles (SDVs) are an emerging technology in which consumers have low levels of trust. Researchers/designers can understand and improve consumer trust through research and iterative design, but doing so effectively requires reliable measures. Although general trust-in-automation measures exist, a measure tailored to SDVs may provide a more accurate tool. This study presents work undertaken to create a domain specific trust measure for SDVs. Candidate items were given to 400 participants who rated their trust in an SDV portrayed in a narrative describing a ride in said vehicle. The Trust in Self-driving Vehicles Scale (TSDV) was created by analyzing participants’ responses using psychometric methods. Four factors were extracted from participants’ responses. Five items were retained for each factor to create the TSDV. Initial evidence of the validity of the instrument is presented through the TSDV’s ability to discriminate between a trustworthy and non-trustworthy vehicle, as portrayed in use scenarios.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"223 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135872572","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":"Towards Making XR 100% Accessible: A Discussion Panel","authors":"Michael A. Rupp, Aaron Gluck, Jessyca Derby, Thom Gable, Nicholas Kelling, Carmen Van Ommen","doi":"10.1177/21695067231192632","DOIUrl":"https://doi.org/10.1177/21695067231192632","url":null,"abstract":"Given the increased usage of extended reality (XR), it is important to consider what difficulties users may have using these systems. This discussion panel will provide an open dialog about what accessibility means for XR systems and for whom. Each panelist will provide a brief overview of the following topics within their bailiwick followed by Q & A. Aaron Gluck will discuss broadening access to XR by users with disabilities. Jessyca Derby will discuss heuristics for making AR/MR experiences more accessible and what resources are available to assist designers and practitioners, Thom Gable will discuss inclusive design in the XR space more broadly and discuss the approach within Microsoft, Nicholas Kelling will discuss the role behavioral and sensory accessibility plays in opening XR to a broader audience, and Carmen Van Ommen will discuss how best practices from other domains can be applied to XR","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908278","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":"Augmented Reality Order Picking Aid for Foreign Workers in Warehouses","authors":"Ahmad Albawaneh, Shruthi Venkatesha Murthy, Goutam Singla, Jiang Wu, Hyungil Kim","doi":"10.1177/21695067231192868","DOIUrl":"https://doi.org/10.1177/21695067231192868","url":null,"abstract":"Background: In warehouse logistics, picking work comprises roughly 60% of the costs, emphasizing the need for efficiency (Matsumoto et al., 2019). Traditionally, workers utilize written instructions, which can be challenging for those less language proficient. The integration of augmented reality (AR) head- mounted displays (HMDs) may enhance accuracy and efficiency (Matsumoto et al., 2019). However, AR HMDs may come with some drawbacks—after extended use, some users report discomfort and decreased performance (Vidovič & Gajšek, 2020). Despite promising improvements in warehouse operations, HMDs’ long-term impacts remain uncertain (Fang et al., 2019). Furthermore, the influence of language proficiency on HMD effectiveness needs exploration (Murauer et al, 2018). In order to fully comprehend the potential and limitations of HMDs, further research is necessary, targeting effective strategies for implementation and optimal AR user interface (UI) design. Objective: This study aims to evaluate an AR HMD system against traditional methods, focusing on its potential to aid non-native English-speaking warehouse workers and boost efficiency and accuracy in picking tasks. Our goal is to ascertain whether an AR aid system, utilizing universal and conformal design principles, can yield superior results in user performance, usability, and situational awareness compared to written instructions. Method: We identified the language-related challenges faced by foreign workers through interviews. Guided by these insights and Ganapathy’s mobile AR guidelines (Ganapathy et al., 2013), we designed an AR solution with universal symbols and intuitive interactions. The AR solution was prototyped using Microsoft HoloLens 2. To evaluate user experience with the proposed system, we conducted a within-subject experiment in a controlled laboratory environment, comparing this AR headset instruction with traditional written instructions. We employed the situation awareness rating technique (SART) questionnaire (Taylor et al., 2017) and system usability scale (SUS) questionnaire (Brooke et al., 1995), along with performance measures, to assess the effectiveness of the proposed system. Results: Our study with 17 participants indicated no significant difference in task completion time between traditional and AR headset instructions. However, AR significantly reduced package identification time ( M=6.89, SE=0.40 vs. M=10.15, SE=0.61). Moreover, people with the AR instructions had no errors while with the traditional written instructions had a total of 2 errors. The proposed AR aid also resulted in enhanced worker situation awareness by allowing them not to divide their attention across job instructions and the dynamic warehouse environment ( M=2.41, SE=0.24 vs. M=3.70, SE=0.35). The AR headset was perceived as easier to use ( M=4.35, SE=0.16 vs. M=3.35, SE=0.17) and better integrated various functions ( M=3.94, SE=0.16 vs. M=2.70, SE=0.19), despite some participants reported a ","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381781","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":"Exploring the Association between Trust in Healthcare Entities and Exposure to Emerging Health Misinformation in Nebraska: A Pilot Study","authors":"Natalie Arambul, Syeda Sraboni, Josephine Chukwunweike, Ayokunle Olagoke","doi":"10.1177/21695067231192887","DOIUrl":"https://doi.org/10.1177/21695067231192887","url":null,"abstract":"Introduction: This pilot study investigated the association between trust in healthcare entities and exposure to emerging health misinformation in rural Nebraska. Methods: We surveyed 42 residents of Nebraska to assess their trust in healthcare entities (i.e., the healthcare system, clinicians, Centers for Disease Control and Prevention (CDC), Food and Drug Administration (FDA), and local health departments) and their exposure to emerging health misinformation. Results: Most participants with decreased trust in healthcare entities also reported exposure to health misinformation in the last week. Specifically, 62.5% of participants who reported decreased trust in the healthcare system, 75% in the CDC, 83.3% in the FDA, and 62.5% in the local health department also reported exposure to at least misinformation. Conclusion: The findings suggest that trust is a crucial human factor and is critical in exposure to health misinformation. This highlights the need to prioritize effective communication strategies to build trust.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"30 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381934","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":"Team Skill Metrics that Span Human-Human and Human-Agent Teams: An Initial Assessment","authors":"Michael C. Dorneich, Stephen Gilbert, Rick F. Francis, Mitchell Talyat, Elmin Didic","doi":"10.1177/21695067231192892","DOIUrl":"https://doi.org/10.1177/21695067231192892","url":null,"abstract":"Team skill metrics were operationalized by translating team constructs to metrics based on observable behaviors. As human coordination with autonomous agents turns to collaboration, humans may increasingly view agents as teammates. This transition will require agents to possess team skills and necessitate appropriate metrics for measuring team skills across human-agent and human-human teams. Thirty-eight teaming metrics were developed across five stages of teaming: preparation, execution, evaluation, adjustment, and team chemistry. Behaviors from 78 multiplayer gameplay videos were coded to establish which metrics could be measured via observable behaviors. An exploratory assessment demonstrated that the metrics captured teaming differences in team composition (human-human teams vs. human-agent teams) and three levels of team expertise. Results suggest that these team skill metrics could aid agent designers in anticipating the team dynamics of humans working with their agents.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381318","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":"Key Constructs, Measures, and Considerations for Human Factors Researchers in the Advanced Air Mobility Domain","authors":"Maureen Namukasa, Meredith Carroll, Bhoomin B Chauhan, Vivek Sharma, Kendall Carmody, Donna Wilt","doi":"10.1177/21695067231200876","DOIUrl":"https://doi.org/10.1177/21695067231200876","url":null,"abstract":"The emergence of Advanced Air Mobility (AAM) has seen the design of new electric vertical takeoff and landing (eVTOL) aircraft that will be utilized to serve the AAM market and associated use cases. Before operations commence, aircraft manufacturers must obtain a government-issued type certificate proving that the new aircraft meets prescribed safety levels. Human factors is an important aspect of AAM certification as the proposed designs have significant changes to how pilots will interact with the aircraft. Published certification standards create an opportunity for human factors researchers to generate meaningful ties between the research being conducted in their laboratories and the work being conducted in the industry to prove the effectiveness and safety of AAM systems. To facilitate this, the current effort identified human factors language used in the certification documents that is related to information processing on the flight deck and relevant to AAM aircraft. This language was then mapped to constructs and associated measures studied in the literature. This mapping can serve as a guide for human factors researchers to ensure the relevancy of the research being conducted for this emerging domain.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"14 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":"135112704","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":"Effects of a Shoulder-support Exoskeleton on Shoulder Strain during Augmented Reality Interactions","authors":"Yong-Ku Kong, Sang-Soo Park, Jin-Woo Shim, Kyeong-Hee Choi, Hyun-Ho Shim, Kiana Kia, Jeong Ho Kim","doi":"10.1177/21695067231192433","DOIUrl":"https://doi.org/10.1177/21695067231192433","url":null,"abstract":"This study determined whether a passive shoulder-support exoskeleton would reduce biomechanical load in the shoulders during augmented reality (AR) interactions. Twenty participants were recruited to a repeated-measures laboratory study to perform AR tasks with and without a shoulder-support exoskeleton. The AR tasks consisted of two standardized tasks (omni-directional pointing and cube placing task). Shoulder muscle activity, postures, discomfort, and task performance (i.e., completion time) were measured during the experimental sessions. The result showed that the shoulder muscle activity (trapezius and deltoid muscles) and subjective shoulder discomfort were significantly lower with the exoskeleton compared to the no-exoskeleton condition (p < 0.05). The shoulder posture data showed that the exoskeleton use increased the 50th percentile of the shoulder flexion (p = 0.02). In contrast, the exoskeleton had limited effects on task performance (p > 0.83). These results suggested that a shoulder-support exoskeleton may have potential to reduce shoulder strain during AR interactions.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"43 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":"135112706","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":"Learning Engineering Perspectives for Supporting Educational Systems","authors":"Scotty D. Craig, Jim Goodell, Erin Czerwinski, Jodi Lis, Rod D. Roscoe","doi":"10.1177/21695067231192886","DOIUrl":"https://doi.org/10.1177/21695067231192886","url":null,"abstract":"This panel will focus on the emerging area of Learning Engineering. Learning Engineering is a transdisciplinary area focusing on the systematic application of evidence-based principles from science of learning disciplines to create effective learning experiences, addressing the challenges of learners. During the panel, examples of Learning Engineering will be presented of interest to anyone within human factors and ergonomics with interest in education, training, or usability/design science. The panel will represent experience from both academia and industry. The goal of this panel is to foster dialog between the IEEE Industry Connections Industry Consortium on Learning Engineering (ICICLE) and HFES members in the hope of increasing knowledge of Learning Engineering and creating ties between the two organizations.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"30 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":"135112776","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":"Optimizing Automated Alarm Systems Through the Integration of Operator Preferences and Proactive Monitoring: Initial Testing","authors":"Theresa Parker, Robert Henning","doi":"10.1177/21695067231199690","DOIUrl":"https://doi.org/10.1177/21695067231199690","url":null,"abstract":"Efforts to optimize automated alarm systems have introduced the use of supplementary graphical proactive monitoring displays (GPMDs) that promote salient deviation detection alongside alarms. This study proposes the incorporation of newer, adaptable automation techniques, which afford operators control over an automated alarm’s reliability, in combination with GPMDs to further optimize these systems. A 2 (choice in reliability) x 2 (supplementary display) case-control match design was used to examine effects on task performance, operator mood, trust in automation, and subjective workload using an open-source version of the NASA Multi-Attribute Task Battery (OpenMATB). Results indicate that experimental participants rated the automation significantly higher on a trust in automation subscale than those in the control group. Few negative findings indicate it would be worthwhile to continue investigating the proposed system adaptations to determine if there are benefits to be gained from their application in realworld scenarios where risk of failure is especially dangerous.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"24 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":"135113012","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":"Exploring the Addition of Torso Flexion to the LIFFT Analysis Tool","authors":"M. Fehmi Capanoglu, Menekse S. Barim, Richard F. Sesek, Robert M. Sesek, Mark C. Schall, Sean Gallagher","doi":"10.1177/21695067231199687","DOIUrl":"https://doi.org/10.1177/21695067231199687","url":null,"abstract":"The Lifting Fatigue Failure Tool (LiFFT) is an ergonomic assessment tool based on fatigue failure theory that uses the lower back load moment to evaluate the risk associated with multi-task jobs involving manual lifting. The current LiFFT tool does not account for the moment associated with flexing the lifter's torso. This study explores the incorporation of torso flexion into the LiFFT model while maintaining the relative simplicity of the original LiFFT tool. Automotive manufacturing workers (n=607) performing various tasks were included in the study. Non-manual material handling (MMH) tasks with no MMH load moment were considered \"zero\" risk. The moment associated with trunk flexion was considered if a worker flexed at the torso during non-MMH assembly tasks. The torso moment from bending was computed using the \"average\" worker height and weight for the data set used in this study. The proposed model yielded higher odds ratios than the original model.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"31 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113079","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}