Pub Date : 2023-10-26DOI: 10.1177/21695067231192632
Michael A. Rupp, Aaron Gluck, Jessyca Derby, Thom Gable, Nicholas Kelling, Carmen Van Ommen
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
考虑到扩展现实(XR)的使用越来越多，考虑用户在使用这些系统时可能遇到的困难是很重要的。这个讨论小组将提供一个关于可访问性对XR系统意味着什么以及对谁意味着什么的开放对话。每个小组成员将简要概述其管辖范围内的以下主题，然后是Q &A. Aaron Gluck将讨论如何扩大残障用户使用XR的机会。jessica Derby将讨论如何使AR/MR体验更容易获得，以及有哪些资源可以帮助设计师和实践者，Thom Gable将更广泛地讨论XR领域的包容性设计，并讨论微软内部的方法，Nicholas Kelling将讨论行为和感官可访问性在向更广泛的受众开放XR方面所起的作用，Carmen Van Ommen将讨论如何将其他领域的最佳实践应用于XR
{"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}
Pub Date : 2023-10-26DOI: 10.1177/21695067231192868
Ahmad Albawaneh, Shruthi Venkatesha Murthy, Goutam Singla, Jiang Wu, Hyungil Kim
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
背景:在仓库物流中，拣选工作约占成本的60%，强调了对效率的需求(Matsumoto et al.， 2019)。传统上，工人们使用书面说明，这对那些语言不熟练的人来说可能是一个挑战。增强现实(AR)头戴式显示器(hmd)的集成可以提高准确性和效率(Matsumoto等人，2019)。然而，AR头显可能会有一些缺点——在长时间使用后，一些用户报告不适和性能下降(vidovikv &Gajš埃克,2020)。尽管有希望改善仓库运营，但hmd的长期影响仍然不确定(Fang等人，2019)。此外，语言能力对HMD有效性的影响需要探索(Murauer et al .， 2018)。为了充分了解头戴式显示器的潜力和局限性，有必要进一步研究，针对有效的实施策略和最佳的AR用户界面(UI)设计。目的:本研究旨在评估AR HMD系统与传统方法的对比，重点关注其在帮助非英语母语仓库工人和提高拣货任务效率和准确性方面的潜力。我们的目标是确定AR辅助系统，利用通用和规范的设计原则，与书面指令相比，是否可以在用户性能、可用性和态势感知方面产生更好的结果。方法:我们通过访谈确定外籍员工所面临的语言相关挑战。在这些见解和Ganapathy的移动AR指南(Ganapathy等人，2013)的指导下，我们设计了一个具有通用符号和直观交互的AR解决方案。增强现实解决方案的原型使用了微软HoloLens 2。为了评估该系统的用户体验，我们在一个受控的实验室环境中进行了一项受试者内实验，将该AR头显指令与传统的书面指令进行了比较。我们采用态势感知评级技术(SART)问卷(Taylor et al.， 2017)和系统可用性量表(SUS)问卷(Brooke et al.， 1995)以及性能指标来评估所提出系统的有效性。结果:我们对17名参与者的研究表明，传统和AR耳机指令在任务完成时间上没有显著差异。然而，AR显著减少了包装识别时间(M=6.89, SE=0.40 vs. M=10.15, SE=0.61)。此外，使用AR指令的人没有错误，而使用传统书面指令的人总共有2个错误。拟议的AR辅助还通过允许他们不将注意力分散到工作指示和动态仓库环境中来增强工人的情况意识(M=2.41, SE=0.24 vs. M=3.70, SE=0.35)。AR头显被认为更容易使用(M=4.35, SE=0.16 vs. M=3.35, SE=0.17)，更好地集成了各种功能(M=3.94, SE=0.16 vs. M=2.70, SE=0.19)，尽管一些参与者报告需要技术援助。结论:人体实验表明，本文提出的AR辅助系统在消除误差、提高易用性和增强仓库外籍工人的态势感知方面是有效的。这项研究还强调了以用户为中心的方法在不同背景下为用户利用技术的重要性。应用:我们的方案在研究范围之外具有广阔的应用前景。它的潜力扩展到各种安全关键领域，包括运输、建筑和军事行动，在这些领域，操作员对动态环境的认识至关重要(Kim等人，2020)。
{"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}
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.
{"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}
Pub Date : 2023-10-26DOI: 10.1177/21695067231192892
Michael C. Dorneich, Stephen Gilbert, Rick F. Francis, Mitchell Talyat, Elmin Didic
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231200876
Maureen Namukasa, Meredith Carroll, Bhoomin B Chauhan, Vivek Sharma, Kendall Carmody, Donna Wilt
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192433
Yong-Ku Kong, Sang-Soo Park, Jin-Woo Shim, Kyeong-Hee Choi, Hyun-Ho Shim, Kiana Kia, Jeong Ho Kim
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231192886
Scotty D. Craig, Jim Goodell, Erin Czerwinski, Jodi Lis, Rod D. Roscoe
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231199690
Theresa Parker, Robert Henning
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231199687
M. Fehmi Capanoglu, Menekse S. Barim, Richard F. Sesek, Robert M. Sesek, Mark C. Schall, Sean Gallagher
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.
{"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}
Pub Date : 2023-10-25DOI: 10.1177/21695067231193673
Tianzi Wang, Nathan Lau
For human autonomy teaming, information for promoting transparency could lead to information overload, negatively impacting performance and workload. This paper presents an empirical study investigating how different level of details (LODs) about the autonomy represented on the user interface would influence speed, accuracy, and workload. Specifically, we compared visualizations of a lost person model at four different LODs to aid in directing human and unmanned aerial vehicles searchers in search and rescue missions. The lowest LOD was found to support higher accuracy but at the expense of speed. The highest LOD induced the highest workload, while the other three LODs induced lower and similar levels of workload. The results indicate that the LOD in transparent displays could induce a speed and accuracy tradeoff.
{"title":"Level of detail in visualization for human autonomy teaming: Speed, accuracy, and workload effects","authors":"Tianzi Wang, Nathan Lau","doi":"10.1177/21695067231193673","DOIUrl":"https://doi.org/10.1177/21695067231193673","url":null,"abstract":"For human autonomy teaming, information for promoting transparency could lead to information overload, negatively impacting performance and workload. This paper presents an empirical study investigating how different level of details (LODs) about the autonomy represented on the user interface would influence speed, accuracy, and workload. Specifically, we compared visualizations of a lost person model at four different LODs to aid in directing human and unmanned aerial vehicles searchers in search and rescue missions. The lowest LOD was found to support higher accuracy but at the expense of speed. The highest LOD induced the highest workload, while the other three LODs induced lower and similar levels of workload. The results indicate that the LOD in transparent displays could induce a speed and accuracy tradeoff.","PeriodicalId":74544,"journal":{"name":"Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting","volume":"32 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":"135113376","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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