Towards Understanding How Humans Teach Robots

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

Research output: Other contributionpeer-review

17 Scopus citations


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.

Original languageAmerican English
Number of pages347
ISBN (Print)978-3-642-22361-7
ISBN (Electronic)978-3-642-22362-4
StatePublished - 2011

Publication series

NameLecture Notes in Computer Science


  • Unmanned Aerial Vehicle
  • Teaching Session
  • Instruction Mode
  • Teaching Task
  • Teaching Style


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