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

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 proceeding › Conference contribution

1 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Help Me Help You
Subtitle of host publication	Bridging the Gaps in Human-Agent Collaboration - Papers from the AAAI Spring Symposium, Technical Report
Publisher	AI Access Foundation
Pages	24-29
Number of pages	6
ISBN (Print)	9781577354970
State	Published - 2011
Event	2011 AAAI Spring Symposium - Stanford, CA, United States Duration: Mar 21 2011 → Mar 23 2011

Publication series

Name	AAAI Spring Symposium - Technical Report
Volume	SS-11-05

Other

Other	2011 AAAI Spring Symposium
Country/Territory	United States
City	Stanford, CA
Period	3/21/11 → 3/23/11

ASJC Scopus subject areas

Artificial Intelligence

Cite this

Kaochar, T., Peralta, R. T., Morrison, C. T., Walsh, T. J., Fasel, I. R., Beyon, S., Tran, A., Wright, J., & Cohen, P. R. (2011). Human natural instruction of a simulated electronic student. In Help Me Help You: Bridging the Gaps in Human-Agent Collaboration - Papers from the AAAI Spring Symposium, Technical Report (pp. 24-29). (AAAI Spring Symposium - Technical Report; Vol. SS-11-05). AI Access Foundation.

Human natural instruction of a simulated electronic student. / Kaochar, Tasneem; Peralta, Raquel Torres; Morrison, Clayton T. et al.
Help Me Help You: Bridging the Gaps in Human-Agent Collaboration - Papers from the AAAI Spring Symposium, Technical Report. AI Access Foundation, 2011. p. 24-29 (AAAI Spring Symposium - Technical Report; Vol. SS-11-05).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kaochar, T, Peralta, RT, Morrison, CT, Walsh, TJ, Fasel, IR, Beyon, S, Tran, A, Wright, J & Cohen, PR 2011, Human natural instruction of a simulated electronic student. in Help Me Help You: Bridging the Gaps in Human-Agent Collaboration - Papers from the AAAI Spring Symposium, Technical Report. AAAI Spring Symposium - Technical Report, vol. SS-11-05, AI Access Foundation, pp. 24-29, 2011 AAAI Spring Symposium, Stanford, CA, United States, 3/21/11.

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abstract = "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.",

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

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series = "AAAI Spring Symposium - Technical Report",

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AU - Tran, Anh

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AB - 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.

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ER -

Human natural instruction of a simulated electronic student

Abstract

Publication series

Other

ASJC Scopus subject areas

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