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Ontology-based situation awareness support for shared control : Extended abstract

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Author: Smets, N.J.J.M. · Neerincx, M.A. · Jonker, C.M. · Bberg, F.
Publisher: IEEE Computer Society
Source:12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017. 6 March 2017 through 9 March 2017 Part F126657, 289-290
Identifier: 756677
doi: doi:10.1145/3029798.3038431
ISBN: 9781450348850
Keywords: Arm · Ontology · Situation awareness · Support · Tele-operation · Ugv · Disaster prevention · Disasters · Man machine systems · Ontology · Robots · Supports · Disaster management · Effectiveness and efficiencies · Extended abstracts · Literature researches · Ontology-based · Situation awareness · Subject matter experts · Support functions · Human robot interaction · Human & Operational Modelling · PCS - Perceptual and Cognitive Systems · ELSS - Earth, Life and Social Sciences


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)