Print Email Facebook Twitter Ontology-based situation awareness support for shared control: Extended abstract Title Ontology-based situation awareness support for shared control: Extended abstract Author Smets, N.J.J.M. Neerincx, M.A. Jonker, C.M. Bberg, F. Publication year 2017 Abstract Situation Awareness (SA) during tele-operation in robot-assisted disaster management has a major impact on the effectiveness and efficiency. Data perceived by the human and robot agents should be processed and shared in such a way that these agents can understand and direct the other agent's behaviors. E.g., for safe and effective tele-operation, the human (team leader and/or operator) and robot need to be aware of (1) the state, location, position and movement of the robot platform and its arms, and (2) the state of robot's environment (such as obstacles, ...). This paper presents an SA-ontology that formalizes the effects of SA-components on the shared control performance. It is based on literature research, interviews with subject matter experts and a field test during a disaster management exercise. The SA-ontology captured all information needs for the teleoperation, and provided further requirements for SA-support functions. © 2017 Authors. ACM SIGAI; ACM SIGCHI; IEEE Robotics and Automation Society (IEEE RAS) Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesArmOntologySituation awarenessSupportTele-operationUgvDisaster preventionDisastersMan machine systemsOntologyRobotsSupportsDisaster managementEffectiveness and efficienciesExtended abstractsLiterature researchesOntology-basedSituation awarenessSubject matter expertsSupport functionsHuman robot interaction To reference this document use: http://resolver.tudelft.nl/uuid:fb2d87a0-0a1d-4d38-afa1-a3108239c260 DOI https://doi.org/10.1145/3029798.3038431 TNO identifier 756677 Publisher IEEE Computer Society ISBN 9781450348850 ISSN 2167-2148 Source 12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017. 6 March 2017 through 9 March 2017 Part F126657, 289-290 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.