방법 비교

	미시현상학	사고 구술법 (Think-Aloud Protocol)
분야	인간-컴퓨터 상호작용	인간-컴퓨터 상호작용
계열	Hypothesis test	Hypothesis test
기원 연도	2006	1980
창시자	Claire Petitmengin, Francisco Varela	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
유형	In-depth interview technique for exploring subjective experience and embodied cognition	Protocol for capturing user cognition and decision-making during task execution
원전	Petitmengin, C. (2006). Describing one's subjective experience in the second person: An interview method for the science of consciousness. Phenomenology and the Cognitive Sciences, 5(3-4), 229–269.	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
별칭	Embodied Interaction Analysis, Gestalt Interview	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
관련	4	4
요약	Micro-phenomenology is a qualitative research method for exploring subjective experience through detailed, guided introspection. Developed by Claire Petitmengin, this method uses specialized interview techniques to help participants articulate pre-reflective, embodied experience—the lived moment-to-moment texture of interacting with a system. Unlike standard interviews (which ask abstract questions) or think-aloud protocols (which are concurrent and potentially disruptive), micro-phenomenology guides participants to re-live and describe specific moments of experience in granular detail, revealing tacit knowledge and non-conscious processes.	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.