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Towards Understanding How Humans Teach Robots

Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian Fasel, Thomas J. Walsh, Paul R. Cohen

发表年份
2013
引用次数
17

摘要

Abstract. Our goal is to develop methods for non-experts to teach complex behaviors to autonomous agents (such as robots) by accommodating “natural” forms of human teaching. We built a prototype interface allowing humans to teach a simulated robot a complex task using several techniques and report the results of 44 human participants using this interface. We found that teaching styles varied considerably but can be roughly categorized based on the types of interaction, patterns of testing, and general organization of the lessons given by the teacher. Our study contributes to a better understanding of human teaching patterns and makes specific recommendations for future human-robot interaction systems. 1

关键词

RobotHuman–computer interactionTask (project management)Computer scienceInterface (matter)Human–robot interactionNatural (archaeology)Task analysisArtificial intelligenceEngineering

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