Abstract | ||
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This paper reports our work on qualitative reasoning based clarification dialogues in human-robot interaction on spatial navigation. To interpret humans' route instructions, a qualitative spatial model is introduced which represents the robot's beliefs in the application domain. Based on the qualitative spatial model, three tool-supported reasoning strategies are discussed which enable the robot to generate dialogues with differing degrees of clarification if knowledge mismatches or under-specifications in route instructions are detected. The influence of the reasoning strategies on human-robot dialogues is evaluated with an empirical study. |
Year | DOI | Venue |
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2010 | 10.3233/978-1-60750-606-5-177 | ECAI |
Keywords | Field | DocType |
application domain,spatial navigation,route instruction,clarification dialogue,human-robot dialogue,human-robot interaction,mobile robots,clarification dialogues,qualitative reasoning,reasoning strategy,deep reasoning,qualitative spatial model,tool-supported reasoning strategy,mobile robot | Spatial model,Computer science,Artificial intelligence,Application domain,Robot,Spatial memory,Mobile robot,Empirical research,Qualitative reasoning | Conference |
Volume | ISSN | Citations |
215 | 0922-6389 | 2 |
PageRank | References | Authors |
0.37 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cui Jian | 1 | 38 | 6.35 |
Desislava Zhekova | 2 | 52 | 7.89 |
Hui Shi | 3 | 2 | 0.37 |
John Bateman | 4 | 39 | 4.71 |