Foundations for an Empirically Determined Scale of Trust in Automated Systems
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Trusted Autonomy and Cognitive Cyber Symbiosis: Open ChallengesTrust between patients and health websites: a review of the literature and derived outcomes from empirical studiesThe effect of sonification display pulse rate and reliability on operator trust and perceived workload during a simulated patient monitoring taskSimilarities and differences between human–human and human–automation trust: an integrative reviewThe effects of adverse condition warning system characteristics on driver performance: An investigation of alarm signal type and threshold levelTrust in automation: integrating empirical evidence on factors that influence trust.Benefits of Imperfect Conflict Resolution Advisory Aids for Future Air Traffic Control.Driver trust in five driver assistance technologies following real-world use in four production vehicles.Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles.Human factors assessment of conflict resolution aid reliability and time pressure in future air traffic control.Which Factors Can Protect Against Range Stress in Everyday Usage of Battery Electric Vehicles? Toward Enhancing Sustainability of Electric Mobility Systems.Trustworthiness and IT suspicion: an evaluation of the nomological network.Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.Supervisory control of multiple robots in dynamic tasking environments.Experience of automation failures in training: effects on trust, automation bias, complacency and performance.Effects of imperfect automation and individual differences on concurrent performance of military and robotics tasks in a simulated multitasking environment.The effect of individual differences in working memory in older adults on performance with different degrees of automated technology.The Role of Trust as a Mediator Between System Characteristics and Response Behaviors.Supervisory control of multiple robots: effects of imperfect automation and individual differences.Trust in smart systems: sharing driving goals and giving information to increase trustworthiness and acceptability of smart systems in cars.Trust and reliance on an automated combat identification system.Keep Your Scanners Peeled: Gaze Behavior as a Measure of Automation Trust During Highly Automated Driving.Trusting a Virtual Driver That Looks, Acts, and Thinks Like You.Effects of information source, pedigree, and reliability on operator interaction with decision support systems.Operator adaptation to changes in system reliability under adaptable automation.Human-human reliance in the context of automation.
P2860
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P2860
Foundations for an Empirically Determined Scale of Trust in Automated Systems
description
2000 nî lūn-bûn
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2000年の論文
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name
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@ast
Foundations for an Empirically Determined Scale of Trust in Automated Systems
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type
label
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@ast
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@en
prefLabel
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@ast
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@en
P1476
Foundations for an Empirically Determined Scale of Trust in Automated Systems
@en
P2093
Colin G. Drury
Jiun-Yin Jian
P356
10.1207/S15327566IJCE0401_04
P577
2000-03-01T00:00:00Z