Human natural instruction of a simulated electronic student

Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy Wright, Paul R. Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Humans naturally use multiple modes of instruction while teaching one another. We would like our robots and artificial agents to be instructed in the same way, rather than programmed. In this paper, we review prior work on human instruction of autonomous agents and present observations from two exploratory pilot studies and the results of a full study investigating how multiple instruction modes are used by humans. We describe our Bootstrapped Learning User Interface, a prototype multi-instruction interface informed by our human-user studies.

Original languageEnglish (US)
Title of host publicationHelp Me Help You
Subtitle of host publicationBridging the Gaps in Human-Agent Collaboration - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Number of pages6
ISBN (Print)9781577354970
StatePublished - 2011
Event2011 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 21 2011Mar 23 2011

Publication series

NameAAAI Spring Symposium - Technical Report


Other2011 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA

ASJC Scopus subject areas

  • Artificial Intelligence


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