Human Factors最新文献_第7页

Effects of Egocentric and Exocentric Supervisor Viewpoint Perspectives on Motion Plan Legibility and Decision Support in Automated Spacecraft Docking Maneuvers. 自中心和外中心监督视角对航天器自动对接机动运动计划易读性和决策支持的影响。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-07-01 DOI: 10.1177/00187208261463326

Hannah Larson, Leia Stirling

{"title":"Effects of Egocentric and Exocentric Supervisor Viewpoint Perspectives on Motion Plan Legibility and Decision Support in Automated Spacecraft Docking Maneuvers.","authors":"Hannah Larson, Leia Stirling","doi":"10.1177/00187208261463326","DOIUrl":"https://doi.org/10.1177/00187208261463326","url":null,"abstract":"ObjectiveThis work analyzes the influence of egocentric versus exocentric viewpoint on the ability of a human supervisor to appropriately takeover or handoff manual control during a spacecraft's automated rendezvous and docking (ARD) motion.BackgroundPrevious work showed that automated spacecraft motion factors of initial condition and path curvature influenced supervisor perception of the system and subsequent decision to take over manual control. It was hypothesized that viewpoint may influence the human supervisor's interpretation of motion trajectories.MethodsA simulated automated docking procedure was monitored using a Virtual Reality headset by n = 42 participants from three viewpoints (one egocentric and two exocentric perspectives). Monitoring path motion with no prior knowledge of the spacecraft's targeted dock, participants determined which of two docks the spacecraft was targeting and either asserted manual control or relied on the automation to complete the maneuver. Decision outcomes were analyzed between viewpoints to assess if differences in perspective influence operational decision making on spacecraft paths.ResultsThe egocentric viewpoint supported correct takeover and handoff decisions further from the dock. Path characteristics that enabled better or worse decision-making performance differed between egocentric and one exocentric viewpoint but were similar to the other exocentric view.ConclusionIn addition to existing factors of initial condition and path curvature, supervisor viewpoint significantly influences ARD operational decision making. However, these factors did not account for all differences in outcomes between viewpoints.ApplicationFindings inform human-aware motion plan algorithm design for automated spacecraft systems. Locations of cameras used by observers of ARD maneuvers can also be informed.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208261463326"},"PeriodicalIF":3.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automation Error Bias, Trust, and Dependence Behaviors in a Simulated Drone Collision Avoidance Task. 模拟无人机避碰任务中的自动化误差偏差、信任和依赖行为。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-07-01 Epub Date: 2026-02-14 DOI: 10.1177/00187208261425068

Austin Jackson, Tetsuya Sato, Jeffrey Glassman, Michael S Politowicz, Eric T Chancey, Yusuke Yamani

{"title":"Automation Error Bias, Trust, and Dependence Behaviors in a Simulated Drone Collision Avoidance Task.","authors":"Austin Jackson, Tetsuya Sato, Jeffrey Glassman, Michael S Politowicz, Eric T Chancey, Yusuke Yamani","doi":"10.1177/00187208261425068","DOIUrl":"10.1177/00187208261425068","url":null,"abstract":"ObjectiveThis experiment examined how error biases of an imperfect automated decision aid system impacted trust and dependency behaviors in a simulated drone collision avoidance task.BackgroundPrior work on human-automation interaction indicates asymmetrical effects of error biases, misses, and false alarms, on compliance and reliance. Yet, it is unclear whether the effect is due to unbalanced perceptual salience of the automation errors or their trust toward the automated system.MethodSixty-eight participants interacted with a drone monitoring task with the assistance of a collision avoidance aid that varied in error bias (i.e., miss-prone and false-alarm prone). Participants' automation trust ratings and dependency behaviors (i.e., compliance and reliance) were measured.ResultsWith error biases equally salient, participants showed a similar decrease in levels of trust along multiple factors of automation trust when interacting with unreliable automation aids. Compliance rates were higher when interacting with a miss-prone system than a false-alarm prone system, whereas reliance rates showed the opposite pattern.ConclusionError bias determines compliance and reliance behaviors systematically. Saliency-matched false alarm and miss errors by automation degrade trust, potentially undermining the development of performance-based trust.ApplicationDesigners of automated systems should consider how different error types systematically affect dependency behaviors to create transparent systems that properly calibrate trust to the capability of the automation.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"845-858"},"PeriodicalIF":3.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146194628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Workload Intensity in Human-Robot Collaboration: A Personalized Approach to Sustainable Efficiency and Well-Being. 人机协作中的工作强度：可持续效率和福祉的个性化方法。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-07-01 Epub Date: 2026-02-11 DOI: 10.1177/00187208261423621

Aljaz Javernik, Robert Ojstersek, Katja Kerman

{"title":"Workload Intensity in Human-Robot Collaboration: A Personalized Approach to Sustainable Efficiency and Well-Being.","authors":"Aljaz Javernik, Robert Ojstersek, Katja Kerman","doi":"10.1177/00187208261423621","DOIUrl":"10.1177/00187208261423621","url":null,"abstract":"ObjectiveTo investigate how varying workload intensity and personalized conditions influence physiological stress responses and task efficiency in human-robot collaboration (HRC).BackgroundHRC is increasingly used to enhance productivity and reduce physical demands, yet workers' mental and physiological strain remains unaddressed. High workload intensity, often induced by robot pacing, can elevate autonomic stress responses, and current systems rarely adapt workload to individual worker capacity. Understanding how workload levels, particularly personalized pacing, affect physiological stress and task performance is essential for designing human-centric collaborative workplaces.MethodsThe study consisted of two experiments. In the first experiment (E1), participants completed an assembly task with a collaborative robot (CR) under two workload conditions (low, high). In the second experiment (E2), participants completed an additional personalized scenario in which the CR motion parameters were adjusted to each participant's capacity. Heart rate variability (HRV) indicators were assessed, and task performance was evaluated using assembly time (AT).ResultsIn E1, the high workload reduced AT, but increased the heart rate (HR) and decreased the root mean square of successive differences (RMSSD), indicating elevated stress. In E2, the personalized scenario maintained efficiency while lowering the HR and restoring the RMSSD compared to the high-intensity condition. The high-frequency (HF) power showed no significant variation in either experiment.ConclusionsWorkload intensity significantly affects both efficiency and physiological stress in HRC. Personalizing the CR motion parameters to worker capacity preserves performance while reducing stress responses.ApplicationAdaptive, capacity-based HRC strategies can help manufacturers sustain productivity without compromising worker well-being.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"913-929"},"PeriodicalIF":3.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13219786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cognitive Load Measurement Methods for Usability Testing: A Critical Analysis and Framework for Interface Evaluation. 可用性测试的认知负荷测量方法：界面评估的关键分析和框架。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-07-01 Epub Date: 2026-03-18 DOI: 10.1177/00187208261427867

Ali Darejeh, Nadine Marcus, Gelareh Mohammadi, John Sweller

{"title":"Cognitive Load Measurement Methods for Usability Testing: A Critical Analysis and Framework for Interface Evaluation.","authors":"Ali Darejeh, Nadine Marcus, Gelareh Mohammadi, John Sweller","doi":"10.1177/00187208261427867","DOIUrl":"10.1177/00187208261427867","url":null,"abstract":"ObjectiveThis systematic review evaluates the use of cognitive load measurement methods in usability testing across diverse software interfaces. It provides guidance for researchers and practitioners by proposing a framework for selecting appropriate cognitive load measurement techniques.BackgroundCognitive Load Theory offers insights into software usability by addressing users' mental effort during task performance. Although cognitive load measurement methods are increasingly used in usability testing, no comprehensive analysis has focused specifically on various software interfaces.MethodWe systematically analysed 87 experimental studies published between 2001 and 2025. Databases searched included IEEE, ACM, ScienceDirect, SpringerLink, and Scopus. Inclusion criteria focused on studies applying cognitive load measurement to usability testing for different types of software interfaces.ResultsCognitive load measurement methods were categorised as subjective (e.g., NASA-TLX and self-reports) or objective (e.g., EEG, eye-tracking, dual-task paradigms, and physiological sensors). The most frequently used methods were performance measures (19%), NASA-TLX (12%), and eye fixations (11%). Commonly evaluated platforms included websites, virtual reality systems, and productivity tools. Each method's applicability, strengths, and limitations were identified.ConclusionThe review synthesises the relative merits of cognitive load measurement methods in usability evaluations and introduces a framework to guide the selection of techniques based on interface type and evaluation goals.ApplicationThe proposed framework operationalises CLT to support targeted, user-centred usability testing. It facilitates the selection of effective cognitive load measurement strategies, enhancing evaluation accuracy and informing better software design.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"859-912"},"PeriodicalIF":3.6,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13219774/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147482487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias. 多智能体人-智能体团队中的系统范围信任（SWT）与组件特定信任（CST）：信任偏差的个体可变性。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-06-24 DOI: 10.1177/00187208261464006

Hyesun Chung, X Jessie Yang

{"title":"System-Wide Trust (SWT) Versus Component-Specific Trust (CST) in Multi-Agent Human-Agent Teams: Individual Variability in Trust Bias.","authors":"Hyesun Chung, X Jessie Yang","doi":"10.1177/00187208261464006","DOIUrl":"10.1177/00187208261464006","url":null,"abstract":"BackgroundPrior work on trust in multi-component systems has proposed two competing perspectives: system-wide trust (SWT) versus component-specific trust (CST). SWT argues that individuals view multiple agent teammates as interconnected parts of a single \"system,\" and thus trust in one agent spills over to others; CST, in contrast, argues that trust is evaluated on a component-by-component basis. However, existing studies have largely overlooked individual differences in these trust evaluation patterns.MethodWe conducted a lab study with 30 two-human-two-agent teams performing collaborative block-moving tasks. Teams completed 10 trials each under three agent reliability pairing conditions: perfect (both agents reliable), mixed (one reliable and one unreliable), and imperfect (both unreliable). After each trial, participants rated trust in each teammate and the team, while communication logs and task completion times were recorded. We first evaluated individual variability and classified participants based on how trust in one agent changed as a function of paired-agent reliability. Subsequently, we examined how these influenced communication behaviors and performance.ResultsWe identified three distinct trust bias patterns: assimilation (trust becomes more similar across agents, consistent with SWT), no bias (trust remains independent across agents, consistent with CST), and contrast (trust becomes more differentiated between agents). These were associated with different communication strategies and reliance behaviors, which in turn affected team performance.ConclusionTrust in multi-agent HATs cannot be fully explained by SWT or CST alone but instead varies with how individuals comparatively evaluate autonomous agents.ApplicationThe findings provide a foundation for developing personalized trust bias mitigation.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208261464006"},"PeriodicalIF":3.6,"publicationDate":"2026-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148310771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers' Trust, Monitoring, and Response. 城市环境中驾驶员对部分自动驾驶的适应：重复暴露和系统能力对驾驶员信任、监控和反应的影响。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-06-18 DOI: 10.1177/00187208261460544

Elena Malaika Nkusi, Jasmin Verena Schneider, Maximilian Wiegand, Klaus Bengler

{"title":"Driver Adaptation to Partially Automated Driving in Urban Environments: Effects of Repeated Exposure and System Capabilities on Drivers' Trust, Monitoring, and Response.","authors":"Elena Malaika Nkusi, Jasmin Verena Schneider, Maximilian Wiegand, Klaus Bengler","doi":"10.1177/00187208261460544","DOIUrl":"10.1177/00187208261460544","url":null,"abstract":"ObjectiveThis paper aims to quantify how the repeated use of partially automated driving (PAD) systems in urban environments influences drivers' trust, monitoring, and intervention, and how exposure to explicit system limits affects emerging adaptations.BackgroundPAD is becoming increasingly available and expanding into urban environments. Meanwhile, safety depends on adequate driver behavior. Previous studies have reported decreases in vigilance and changes in trust with the repeated use of driver assistance systems. However, there is a general lack of studies examining driver adaptation to PAD systematically over time and in urban environments.MethodWe conducted two driving simulator studies with a total of 45 participants driving repeatedly on an urban commuting route for five drives with intermissions of one or two days. We investigated the influence of mere exposure and exposure to explicit system limits. Both studies employed a multimodal measurement approach, combining self-reported and observational data.ResultsTrust and single-glance aversions are moderated by system limits, alongside mere exposure. The number of critical responses to system failures reveals alarming driver behavior despite the use of a state-of-the-art driver monitoring system.ConclusionDriver adaptation is highly event-driven as system limits calibrate trust, sustain monitoring, and improve intervention behavior. Moreover, state-of-the-art driver monitoring systems may not be sufficient to ensure the long-term safety of PADs in urban environments.ApplicationUrban PAD should adopt system limit warnings paired with gaze history-dependent prompts. Future studies and evaluations should extrapolate the revealed adaptation effects.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208261460544"},"PeriodicalIF":3.6,"publicationDate":"2026-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148280094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling Human Expertise in a Sanding Task. 在打磨任务中建模人类专业知识。

IF 3.3 3区心理学

Human Factors Pub Date : 2026-06-15 DOI: 10.1177/00187208261460709

Anna Konstant, Zihao Zhu, Yin Li, Yu Hen Hu, Robert G Radwin

{"title":"Modeling Human Expertise in a Sanding Task.","authors":"Anna Konstant, Zihao Zhu, Yin Li, Yu Hen Hu, Robert G Radwin","doi":"10.1177/00187208261460709","DOIUrl":"https://doi.org/10.1177/00187208261460709","url":null,"abstract":"ObjectiveSanding strategies were identified that correlated with better performance and less physical stress.BackgroundSanding requires manual skill because of the dexterity and perceptual needs to perform the job well, and it involves exposure to physical stresses.MethodsForce and tool kinematics were measured using an instrumented platform and motion capture for 20 participants while performing a timed paint removal sanding task in the laboratory. Performance was based on the quantity and uniformity of the paint removed and measured using image processing. The ACGIH Threshold Limit Value (TLV) for Hand Activity Level Peak Force Index was used to evaluate physical stress.ResultsLinear regression and machine learning algorithms revealed that high performers (above the 75th percentile) moved the sander more, while they varied but applied greater force compared to the low performers (below the 25th percentile). Some high performers could maintain a TLV below the acceptable limit by pausing more and applying less force but performing more frequent exertions.ConclusionsMore force, greater variations of force, and speed were related to better sanding performance, while less force and more frequent exertions and pauses helped reduce physical stress.ApplicationsStrategies identified in this study may be useful for training operators in sanding tasks for performance and safety.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"187208261460709"},"PeriodicalIF":3.3,"publicationDate":"2026-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148254646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Users' Trust Evolvement in Fully Driverless Robotaxis During First Ride: An On-Road Study. 完全无人驾驶机器人出租车首次乘坐过程中用户信任演变：一项道路研究。

IF 3.6 3区心理学

Human Factors Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1177/00187208261420147

Zhenyu Wang, Weiyin Xie, Haolong Hu, Xiang Chang, Meng Sun, Dengbo He

{"title":"Users' Trust Evolvement in Fully Driverless Robotaxis During First Ride: An On-Road Study.","authors":"Zhenyu Wang, Weiyin Xie, Haolong Hu, Xiang Chang, Meng Sun, Dengbo He","doi":"10.1177/00187208261420147","DOIUrl":"10.1177/00187208261420147","url":null,"abstract":"ObjectiveThis study investigates how users' trust evolves during their first ride in a fully driverless robotaxi and how it can be affected by user characteristics, system design, and traffic scenarios.BackgroundAs driving automation technology matures, driverless robotaxis have become available. Despite its immense economic and social potential, public acceptance can be strongly influenced by user trust. Previous research on trust in autonomous vehicles often relied on surveys, driving simulators, or \"Wizard of Oz\" methods, potentially introducing biases.MethodAn on-road experiment was conducted in commercially operating fully driverless robotaxis on public urban roads. In total, 30 participants with no prior experience riding fully driverless robotaxis were recruited, comprising nondrivers (n = 10), and drivers with (n = 10) and without (n = 10) driving automation experience. Dynamic trust was collected at a 2-min interval during the ride, along with participants' think-aloud for changes in trust. A cumulative link mixed model was used to assess the impact of past driving experience, demographics, and riding time on trust development.ResultsOur findings revealed that dynamic trust increased gradually and stabilized over time, with user heterogeneity playing a moderating role in this process. Further think-aloud data analysis identified key factors in trust formation, including driving style, riding safety and comfort, and user interface design.ConclusionTrust in driverless robotaxis builds progressively with real-world exposure, shaped by user characteristics, vehicle control, and interface design.ApplicationOur findings underscore the importance of considering user heterogeneity in fostering trust and acceptance of robotaxis.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"788-805"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146114975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lessons Learned From COVID-19: Acceptance of E-Learning Technologies in Higher Education. 2019冠状病毒病的经验教训：高等教育接受电子学习技术

IF 3.3 3区心理学

Human Factors Pub Date : 2026-06-01 Epub Date: 2025-09-04 DOI: 10.1177/00187208251372863

Griffin Pitts, Viktoria Marcus, Sanaz Motamedi

{"title":"Lessons Learned From COVID-19: Acceptance of E-Learning Technologies in Higher Education.","authors":"Griffin Pitts, Viktoria Marcus, Sanaz Motamedi","doi":"10.1177/00187208251372863","DOIUrl":"10.1177/00187208251372863","url":null,"abstract":"ObjectiveThis study investigates students' acceptance of e-learning during the COVID-19 pandemic, examining differences between voluntary and involuntary use contexts.BackgroundDuring the COVID-19 pandemic, universities shifted to online instruction for an extended period. E-learning became mandatory to use and was met with varying degrees of acceptance by students, whose educational expectations and experiences were altered. By 2022, institutions began transitioning to optional e-learning use, creating a natural setting to examine technology acceptance under both voluntary and involuntary conditions.MethodThis study employed a two-phase approach, first validating an extended Technology Acceptance Model (TAM) incorporating seven factors derived from focus groups. Second, conducting multigroup analysis of acceptance between voluntary and involuntary users. Data was collected through surveys from 908 undergraduate students.ResultsPLS-SEM analysis revealed strong explanatory power (R2 = .463-.731) for the extended TAM framework. Compatibility demonstrated the strongest effect on perceived usefulness, while information quality and system quality influenced both perceived usefulness and ease of use. Multigroup analysis revealed significant contextual differences in students' acceptance. Perceived ease of use more strongly influenced behavioral intention for voluntary users, while perceived usefulness had stronger effects for involuntary users.ConclusionThe extended TAM framework significantly predicted e-learning acceptance in both voluntary and involuntary contexts. Significant differences between usage scenarios were identified, extending TAM's applicability to crisis situations.ApplicationThis study provides insights for postpandemic educational technology implementation, emphasizing system quality and alignment with learning preferences. Practitioners should consider differences in adoption contexts when working to facilitate acceptance among both voluntary and mandatory users.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"708-724"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145002060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Emergency Response: A Qualitative Needs Assessment Involving People With Disabilities and First Responders. 改进应急反应：涉及残疾人和急救人员的定性需求评估。

IF 3.3 3区心理学

Human Factors Pub Date : 2026-06-01 Epub Date: 2025-09-03 DOI: 10.1177/00187208251370557

Emily Gleaton, Sarah Farmer, Paul M A Baker

{"title":"Improving Emergency Response: A Qualitative Needs Assessment Involving People With Disabilities and First Responders.","authors":"Emily Gleaton, Sarah Farmer, Paul M A Baker","doi":"10.1177/00187208251370557","DOIUrl":"10.1177/00187208251370557","url":null,"abstract":"ObjectiveCurrent emergency response literature rarely focuses on the intersecting experiences of people with disabilities and first responders. This study employed a person-centered Human Factors approach to assess the experiences of people with disabilities and first responders during emergencies. This research identifies environmental and societal factors that hinder emergency response outcomes.MethodsWe conducted a needs assessment of 126 individuals (95 people with disabilities and 31 first responders). The survey included Likert-style items and open-ended responses. Open-ended items were analyzed using reflexive thematic analysis. An exploratory sentiment analysis was conducted to examine the alignment between qualitative and quantitative responses.ResultsThree major themes emerged: communication barriers, insufficient training, and limited resources. People with disabilities emphasized the importance of respectful, clear, and adaptive communication, while first responders noted challenges related to time constraints, tools, and accessible communication methods. Participants from both groups emphasized the urgent need for technology and training that can provide first responders with the necessary knowledge and skills to improve outcomes for people with disabilities.ConclusionThis needs assessment offers foundational insights into barriers that impact emergency response for people with disabilities and first responders. Actionable Human Factors solutions are proposed.ApplicationThe continued presence of barriers and tensions between the needs of people with disabilities and first responders suggests that Human Factors interventions should be developed to improve communication systems and equipment, training protocols, work systems, and environmental design for accessibility for people with disabilities, while also considering the safety and time-sensitive needs of first responders.","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":" ","pages":"693-707"},"PeriodicalIF":3.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144993774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0