So sánh phương pháp

	Phương pháp Wizard of Oz	Quy trình Nói-Lớn (Think-Aloud Protocol)
Lĩnh vực	Tương tác người-máy tính	Tương tác người-máy tính
Họ	Hypothesis test	Hypothesis test
Năm ra đời	1984	1980
Người khởi xướng	John F. Kelley	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
Loại	Iterative design technique using hidden human operator to simulate future system behavior	Protocol for capturing user cognition and decision-making during task execution
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.	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
Tên gọi khác	WOz, Wizard of Oz Prototyping, Hidden Operator Simulation	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
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 Think-Aloud Protocol is a usability testing method in which participants verbalize their thoughts while completing tasks on a system. As users navigate an interface, they continuously narrate their observations, interpretations, and reasoning, allowing researchers to understand their mental models, decision-making, and frustration points. Originating from cognitive psychology research by Ericsson and Simon (1980), this method was adapted for HCI by Clayton Lewis and has become one of the most widely used techniques for identifying usability problems and understanding user behavior.