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dc.contributor.authorMander, Richardeng
dc.contributor.authorGreenberg, Sauleng
dc.contributor.authorMaulsby, Davideng
dc.date.accessioned2008-02-26T22:40:14Z
dc.date.available2008-02-26T22:40:14Z
dc.date.issued1992-09-01eng
dc.identifier.urihttp://hdl.handle.net/1880/45599
dc.description.abstractTurvy 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 comple x 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; e) qualitative data is more valuable for answering global concerns, while quantitative data validates accounts and answers fine-grained questions.eng
dc.language.isoEngeng
dc.subjectComputer Scienceeng
dc.titlePROTOTYPING AN INTELLIGENT AGENT THROUGH WIZARD OF OZeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.description.notesWe 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.caeng
dc.identifier.department1992-489-27eng
dc.date.computerscience1999-05-27eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30913
thesis.degree.disciplineComputer Scienceeng


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