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Prototyping an intelligent agent through Wizard of Oz
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the INTERACT '93 and CHI '93 conference on Human factors in computing systems table of contents
Amsterdam, The Netherlands
Pages: 277 - 284  
Year of Publication: 1993
ISBN:0-89791-575-5
Authors
David Maulsby  Department of Computer Science, University of Calgary, Calgary Alberta T2N 1N4 Canada
Saul Greenberg  Department of Computer Science, University of Calgary, Calgary Alberta T2N 1N4 Canada
Richard Mander  Human Interface Group, Apple Computer Inc., 20525 Mariani Ave., Cupertino, CA
Sponsors
NGI : Dutch Computer Soc - Nederlands Genoostschapvoor Informatica
Human Factors Soc : Human Factors Society
IEEE-CS : Computer Society
IFIP : International Federation for Information Processing
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
Austrian Comp Soc : Austrian Computer Society
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 77,   Citation Count: 13
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ABSTRACT

Turvy is a simulated prototype of an instructible agent. The user teaches it by demonstrating actions and pointing at or talking about relevant data. We formalized our assumptions about what could be implemented, then used the Wizard of Oz to flesh out a design and observe users' reactions as they taught several editing tasks. We found: a) all users invent a similar set of commands to teach the agent; b) users learn the agent's language by copying its speech; c) users teach simple tasks with ease and complex ones with reasonable effort; and d) agents cannot expect users to point to or identify critical features without prompting. In conducting this rather complex simulation, we learned some lessons about using the Wizard of Oz to prototype intelligent agents: a) design of the simulation benefits greatly from prior implementation experience; b) the agent's behavior and dialog capabilities must be based on formal models; c) studies of verbal discourse lead directly to an implementable system; d) the designer benefits greatly by becoming the Wizard; and e) qualitative data is more valuable for answering global concerns, while quantitative data validates accounts and answers fine-grained questions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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D.C. Halbert (1984) "Programming by example." Xerox PARC Research report OSD-T8402. Palo Alto CA.
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A. Kay (1984) "Computer software." Scientific American, 251(3), pp. 53-59, September.
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J. Wilson, D. Rosenberg (1988) "Rapid prototyping for user interface design." In Handbook of Human-Computer Interaction, pp. 859-875, M. Helander ed., New York, North-Holland.

CITED BY  13
 

Collaborative Colleagues:
David Maulsby: colleagues
Saul Greenberg: colleagues
Richard Mander: colleagues