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INDUCING PROGRAMS IN A DIRECT-MANIPULATION ENVIRONMENT

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Author
Maulsby, David L.
Witten, Ian H.
Accessioned
2008-02-26T22:39:34Z
Available
2008-02-26T22:39:34Z
Computerscience
1999-05-27
Issued
1988-09-01
Subject
Computer Science
Type
unknown
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Abstract
End users who need to program within highly interactive direct- manipulation interfaces should be able to communicate their intentions through concrete demonstration rather than in terms of symbolic abstractions. This paper describes a system that learns procedures in interactive graphics taught to it "by example" by minimally trained users. It shows how techniques of machine learning and reactive interfaces can support one another-the former providing generalization heuristics to identify constraints implicit in user actions, the latter offering immediate feedback to help the user clarify hidden constraints and correct errors before they are planted into the procedure. The teacher's attention is focused on the learning system's perceptual and inferential shortcomings through a metaphorical apprentice called Metamouse, which generalizes action sequences on the fly and eagerly carries out any actions it can predict. The success of the induction process is assessed quantitatively by counting erroneous predictions made during example tasks.
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We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
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University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30909
Uri
http://hdl.handle.net/1880/45591
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