| Prototyping an intelligent agent through Wizard of Oz |
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Conference on Human Factors in Computing Systems
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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
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Authors
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David Maulsby
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Department of Computer Science, University of Calgary, Calgary Alberta T2N 1N4 Canada
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Saul Greenberg
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Department of Computer Science, University of Calgary, Calgary Alberta T2N 1N4 Canada
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Richard Mander
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Human Interface Group, Apple Computer Inc., 20525 Mariani Ave., Cupertino, CA
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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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Nils Dahlbäck , Arne Jönsson , Lars Ahrenberg, Wizard of Oz studies: why and how, Proceedings of the 1st international conference on Intelligent user interfaces, p.193-200, January 04-07, 1993, Orlando, Florida, United States
[doi> 10.1145/169891.169968]
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John D. Gould , John Conti , Todd Hovanyecz, Composing letters with a simulated listening typewriter, Proceedings of the 1982 conference on Human factors in computing systems, p.367-370, March 15-17, 1982, Gaithersburg, Maryland, United States
[doi> 10.1145/800049.801813]
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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.
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CITED BY 13
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Steven Dow , Jaemin Lee , Christopher Oezbek , Blair MacIntyre , Jay David Bolter , Maribeth Gandy, Wizard of Oz interfaces for mixed reality applications, CHI '05 extended abstracts on Human factors in computing systems, April 02-07, 2005, Portland, OR, USA
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Gerd Andersson , Kristina Höök , Dário Mourão , Ana Paiva , Marco Costa, Using a Wizard of Oz study to inform the design of SenToy, Proceedings of the conference on Designing interactive systems: processes, practices, methods, and techniques, June 25-28, 2002, London, England
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K. L. Koay , K. Dautenhahn , S. N. Woods , M. L. Walters, Empirical results from using a comfort level device in human-robot interaction studies, Proceeding of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, March 02-03, 2006, Salt Lake City, Utah, USA
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James Fogarty , Scott E. Hudson , Christopher G. Atkeson , Daniel Avrahami , Jodi Forlizzi , Sara Kiesler , Johnny C. Lee , Jie Yang, Predicting human interruptibility with sensors, ACM Transactions on Computer-Human Interaction (TOCHI), v.12 n.1, p.119-146, March 2005
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.1
MODELS AND PRINCIPLES
H.1.2
User/Machine Systems
Subjects:
Human factors
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation);
Theory and methods
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.1
Applications and Expert Systems
Subjects:
Natural language interfaces
General Terms:
Design,
Experimentation,
Human Factors,
Theory
Keywords:
Wizard of Oz,
instructible system,
intelligent agent,
programming by demonstration,
prototyping
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