IEEE Systems Man and Cybernetics Magazine · 2017 · 88 citations · 14 references
EngineeringAutonomous SystemsRobotics EngineeringAutomationHuman-robot InteractionRoboticsHuman-machine InterfacesHuman-robot CollaborationHuman-robot CommunicationRobot SafetySafety In Human-robot InteractionTrust In Human-robot InteractionHuman Factors In Robot TrustHuman-on-the-loop ControlHuman-robot Trust ModelsOperator ExperienceTrust AssessmentTrust In Autonomous RobotsTrust In Human-robot CollaborationTrust In Robots
Autonomous systems face longstanding safety, accuracy, and security concerns, and for human‑on‑the‑loop deployments, trust—defined as an operator’s willingness to rely on the system—depends on the system, context, environment, and operator background. The study aims to achieve the trust necessary to enable autonomous systems to accomplish specific objectives accurately and reliably over extended periods without human intervention.
Safety, accuracy, and security have always been major concerns pertaining to the adoption of autonomous systems. Human-on-the-loop (HOTL) systems, in particular, require a high level of trust to be accepted in our daily lives. Trust translates as a human operator's willingness to rely on the actions performed by an autonomous system. Trust depends on the specific system and circumstances as well as on the environment the system is working in and the operator's background and beliefs. Achieving the trust that can lead to realizing particular objectives individually and accurately in uncertain conditions over a long period of time without human involvement has always been the main goal with autonomous systems.
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Introduction to autonomous mobile robots
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Experimental Security Analysis of a Modern Automobile
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