Võrdle meetodeid

	Pluralistlik läbikäimine	Mõtte-avalikustamise protokoll
Valdkond	Inimese ja arvuti interaktsioon	Inimese ja arvuti interaktsioon
Perekond	Hypothesis test	Hypothesis test
Tekkeaasta	1992	1980
Looja	Randolph G. Bias	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
Tüüp	User-centered walkthrough with mixed stakeholders	Protocol for capturing user cognition and decision-making during task execution
Algallikas	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	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
Rööpnimetused	Pluralistic Usability Walkthrough, PW	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
Seotud	4	4
Kokkuvõte	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.	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.