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	NASA-TLX	Cognitive Walkthrough
Dziedzina	Interakcja człowiek–komputer	Interakcja człowiek–komputer
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	1988	1990
Twórca	Sandra Hart and Lowell Staveland	Clayton Lewis, Peter Polson, Cathleen Wharton, John Rieman
Typ	Multi-dimensional post-task questionnaire for measuring subjective mental workload	Evaluative walkthrough examining how users learn to use an interface
Źródło pierwotne	Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human Mental Workload (pp. 139–183). Elsevier.	Lewis, C., Polson, P. G., Wharton, C., & Rieman, J. (1990). Testing a walkthrough methodology for specifying and evaluating user interface designs. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 387–392).
Inne nazwy	Task Load Index, TLX, NASA-TLX	Cognitive Walkthrough, CW Analysis
Pokrewne	4	4
Podsumowanie	The NASA Task Load Index (TLX) is a multi-dimensional subjective workload assessment tool developed at NASA Ames Research Center by Sandra Hart and Lowell Staveland in the 1980s. TLX measures perceived mental workload across six dimensions—mental demand, physical demand, temporal demand, performance, effort, and frustration—allowing researchers and practitioners to understand the cognitive and affective burden of tasks and interfaces. The instrument is widely used in human factors, cognitive engineering, and HCI to identify task bottlenecks and evaluate system designs.	Cognitive Walkthrough is an inspection method for evaluating interface designs by simulating and analyzing how users will learn to use a system through exploration and trial. Developed by Clayton Lewis, Peter Polson, Cathleen Wharton, and John Rieman in 1990, this method is grounded in cognitive psychology and focuses specifically on learnability—whether first-time or occasional users can discover how to perform tasks without formal training. Evaluators role-play user actions, answer a set of critical questions about feedback and discovery at each step, and document usability problems.