Beyond Binary Decisions: Evaluating the Effects of AI Error Type on Trust and Performance in AI-Assisted Tasks [0.03%]
超越二元决策：评估AI错误类型对AI辅助任务中信任和绩效的影响
Jin Yong Kim,Corey Lester,X Jessie Yang
Jin Yong Kim
ObjectiveWe investigated how various error patterns from an AI aid in the nonbinary decision scenario influence human operators' trust in the AI system and their task performance.BackgroundExisting research on trust in automation/autonomy p...
Can We Estimate Motion Sickness Severity in Car Passengers Based on Individual Head Dynamics? [0.03%]
我们能否根据个体头部运动来估计汽车乘客的晕动病严重程度？
William Emond,André Tomalka,Aysenur Bektas et al.
William Emond et al.
ObjectiveThis study investigates the relationship between motion sickness and body movements experienced by car passengers during non-driving related activities.BackgroundThe theory linking motion sickness to postural instability is well-do...
Cognitive Aid Design Using Diminished Reality to Support Selective Attention by Reducing Distraction [0.03%]
通过减少干扰来支持选择性注意的认知辅助设计的减损现实技术研究
Anne Collins McLaughlin,Maribeth Gandy Coleman,Vicky Byrne et al.
Anne Collins McLaughlin et al.
ObjectiveWe conducted two experiments to understand the effects of computationally diminishing reality on performance, awareness of the environment, and subjective workload.BackgroundAdvances in extended reality (XR) technologies make it po...
Exoskeletons in Intermittent Bending Tasks: Assessing Muscle Demands, Endurance, and User Perspectives [0.03%]
间歇弯曲任务中外骨骼的应用：评估肌肉需求、耐力和用户视角
Pranav Madhav Kuber,Ehsan Rashedi
Pranav Madhav Kuber
ObjectiveWe investigated effects of a Back-support industrial exoskeleton (BSIE) across intermittently performed unloaded trunk bending task cycles.BackgroundIndustrial tasks are often performed in the form of task cycles with varying activ...
The Effect of Workload and Task Priority on Multitasking Performance and Reliance on Level 1 Explainable AI (XAI) Use [0.03%]
工作量和任务优先级对多任务性能以及对一级可解释人工智能(XAI)依赖的影响
Jawad Alami,Mohamad El Iskandarani,Sara Lu Riggs
Jawad Alami
ObjectiveThis study investigates the effects of workload and task priority on multitasking performance and reliance on Level 1 Explainable Artificial Intelligence (XAI) systems in high-stakes decision environments.BackgroundOperators in cri...
Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis [0.03%]
部分自动驾驶对精神负荷、视觉行为和参与非驾驶相关任务的影响：一项荟萃分析
Nicola Vasta,Francesco Biondi
Nicola Vasta
Objective: The goal of this meta-analysis is to investigate the effect of partial automation on mental workload, visual behavior, and engagement in nondriving-related tasks. ...
Predicting Return-to-Manual Performance in Lower- and Higher-Degree Automation [0.03%]
低程度和高程度自动化下手动控制性能恢复的预测研究
Natalie Griffiths,Vanessa K Bowden,Serena Wee et al.
Natalie Griffiths et al.
Objective: To examine operator state variables (workload, fatigue, trust in automation, task engagement) that potentially predict return-to-manual (RTM) performance after automation fails to complete a task action. ...
Do Augmented Reality Cues Aid Pedestrians in Crossing Multiple Lanes of Traffic? A Virtual Reality Study [0.03%]
增强现实提示能否帮助行人穿越多车道交通？一项虚拟现实研究
Jeehan Malik,Elizabeth O&#x;Neal,Megan Noonan et al.
Jeehan Malik et al.
Objective: This study evaluated whether pedestrians can use augmented reality (AR) overlays to guide their road-crossing decisions when crossing two lanes of opposing traffic. ...
Effects of Auditory Anticipatory Cues and Lead Time on Visually Induced Motion Sickness [0.03%]
听觉预警线索及预警时间对视觉诱发晕动症的影响
Xin Xin,Xinyuan Chen,Wei Liu
Xin Xin
Objective: This study aims to investigate the ability of auditory cues for predicting motion and lead times to mitigate visually induced motion sickness (VIMS). ...
Likelihood Systems Can Improve Hit Rates in Low-Prevalence Visual Search Over Binary Systems [0.03%]
似然系统能提高低发率视觉搜索中的命中率二值系统无法做到这一点
Tobias Rieger,Benita Marx,Dietrich Manzey
Tobias Rieger
Objective: To study the performance consequences of binary versus likelihood decision support systems in low-prevalence visual search. Background: ...