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Mago di Oz×Indagine Contestuale×
CampoInterazione uomo-macchinaInterazione uomo-macchina
FamigliaHypothesis testHypothesis test
Anno di origine19841993
IdeatoreJohn F. KelleyHugh Beyer and Karen Holtzblatt
TipoIterative design technique using hidden human operator to simulate future system behaviorIn-situ user research method capturing real work practices
Fonte seminaleKelley, J. F. (1984). An iterative design methodology for user-friendly natural language office information applications. ACM Transactions on Information Systems, 2(1), 26–41. DOI ↗Beyer, H., & Holtzblatt, K. (1998). Contextual Design: Defining Customer-Centered Systems. Morgan Kaufmann. ISBN: 1-558-60722-X
AliasWOz, Wizard of Oz Prototyping, Hidden Operator SimulationCI, Contextual Design, Work-centered Design
Correlati44
SintesiThe Wizard of Oz method is a prototyping and evaluation technique where users interact with what appears to be an automated system, but behind the scenes, a human operator (the wizard) controls the system's behavior. Developed by John Kelley in 1984, this method is especially valuable for exploring novel interaction paradigms (voice interfaces, AI assistants, gesture-based systems) before full implementation. By simulating future system capabilities, researchers gain insight into user expectations, mental models, and requirements without building the complex automation first.Contextual Inquiry is a field research method for understanding users by observing and interviewing them in their real work environment. Developed by Hugh Beyer and Karen Holtzblatt at Applied Research and Technology, this method combines ethnographic observation with targeted questioning to capture not just what users say they do, but what they actually do—including workarounds, informal practices, and priorities often invisible in lab settings. Contextual Inquiry uncovers the context, constraints, and real-world complexity of user tasks, providing rich insights for user-centered design.
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  3. PUBLISHED
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ScholarGateConfronta i metodi: Wizard of Oz · Contextual Inquiry. Consultato il 2026-06-19 da https://scholargate.app/it/compare