Methoden vergleichen

	Retrospektives Lautes Denken	Lautes Denken (Think-Aloud Protocol)
Fachgebiet	Mensch-Computer-Interaktion	Mensch-Computer-Interaktion
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1980	1980
Urheber	K. Anders Ericsson, Herbert Simon, adapted by Gary Olson and colleagues	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
Typ	Post-task verbalization method for reflecting on decision-making	Protocol for capturing user cognition and decision-making during task execution
Wegweisende Quelle	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
Aliasnamen	Delayed Verbalization, Post-task Thinking Aloud, RTA	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
Verwandt	4	4
Zusammenfassung	Retrospective Think-Aloud is a variant of the Think-Aloud Protocol in which participants complete a task without verbalization, then immediately review a video or replay of their task performance and narrate their thoughts, reasoning, and reactions. This method captures post-hoc reflection on decision-making and user experience without disrupting task execution. Particularly valuable for exploring user awareness, emotional reactions, and retrospective sense-making, Retrospective Think-Aloud provides the explanatory richness of concurrent thinking aloud without the disruption.	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.