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Argumentation-based dialogue games for shared control in human-robot systems

Elizabeth Sklar, Mohd Azhar

Year
2015
Citations
16

Abstract

<p>Dialogue can support exchange of ideas and discussion of options as a means to enable shared decision making for human-robot collaboration. However, dialogue that supports dynamic, evidence-backed exchange of ideas is a major challenge for today's human-robot systems. The work presented here investigates the application of argumentation-based dialogue games as the means to facilitate flexible interaction, including unscripted changes in initiative. Two main contributions are provided in this paper. First, a methodology for implementing multiple types of argumentation-based dialogues for human-robot interaction is detailed. This includes explanation about which types of dialogues are appropriate given the beliefs of the participants and how multiple dialogues can occur simultaneously while maintaining a consistent set of beliefs for the participants. Second, a formal definition is presented for the Treasure Hunt Game (THG), a test environment that provides rich opportunities for experimentation in shared human-robot control, as well as motivating and engaging experiences for human subjects.</p>

Keywords

Argumentation theoryRobotComputer scienceHuman–robot interactionHuman–computer interactionSet (abstract data type)Control (management)TreasureArtificial intelligenceKnowledge management

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