So sánh phương pháp

	Phương pháp Wizard of Oz	Phương pháp "Pluralistic Walkthrough"
Lĩnh vực	Tương tác người-máy tính	Tương tác người-máy tính
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1984	1992
Người khởi xướng	John F. Kelley	Randolph G. Bias
Loại	Iterative design technique using hidden human operator to simulate future system behavior	User-centered walkthrough with mixed stakeholders
Công trình gốc	Kelley, J. F. (1984). An iterative design methodology for user-friendly natural language office information applications. ACM Transactions on Information Systems, 2(1), 26–41.	Bias, R. G. (1994). The pluralistic walkthrough: Coordinating technology and pedagogy in software development. In J. Nielsen & R. L. Mack (Eds.), Usability Inspection Methods (pp. 63–76). John Wiley & Sons. ISBN: 0-471-01877-5
Tên gọi khác	WOz, Wizard of Oz Prototyping, Hidden Operator Simulation	Pluralistic Usability Walkthrough, PW
Liên quan	4	4
Tóm tắt	The 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.	The Pluralistic Walkthrough is a usability inspection method that brings together users, developers, and usability specialists to walk through an interface and voice their reactions and concerns. Developed by Randolph Bias in 1992, this method combines elements of cognitive walkthroughs with user involvement, creating a collaborative evaluation setting that captures diverse perspectives. By including actual users in the evaluation session, the method bridges the gap between expert judgment and real-world user experience, uncovering unexpected insights and building stakeholder consensus around design improvements.