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KLM-GOMS×Heuristické hodnocení×
OborInterakce člověk–počítačInterakce člověk–počítač
RodinaHypothesis testHypothesis test
Rok vzniku19831990
TvůrceStuart Card, Thomas Moran, Allen NewellJakob Nielsen and Rolf Molich
TypComputational cognitive model for task execution time predictionExpert-based inspection using established design principles
Původní zdrojCard, S. K., Moran, T. P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates. ISBN: 0898592437Nielsen, J. (1994). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 249–256). link ↗
Další názvyGOMS Model, KLMHE, Expert Evaluation, Nielsen's Heuristics
Příbuzné44
ShrnutíThe Keystroke-Level Model (KLM), part of the Goals-Operators-Methods-Selection rules (GOMS) framework, is a computational method for predicting how long a user will take to accomplish a routine task using an interactive system. Developed by Card, Moran, and Newell in 1983, KLM decomposes user actions into primitive operators (keystrokes, mouse clicks, mental preparation, system response waits) with empirically derived execution times, enabling designers to estimate task performance without running user studies.Heuristic Evaluation is a usability inspection method in which small teams of expert evaluators examine an interface and judge its compliance with established usability principles (heuristics). Developed by Jakob Nielsen and Rolf Molich in 1990, this method is rapid and low-cost, identifying 60–90% of usability problems with as few as 3–5 evaluators. Nielsen's Ten Usability Heuristics—visibility of system status, match between system and real world, user control and freedom, consistency and standards, error prevention and recovery, recognition over recall, flexibility and efficiency, aesthetic and minimalist design, error recovery, and documentation—form the basis of most evaluations.
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ScholarGatePorovnat metody: KLM-GOMS · Heuristic Evaluation. Získáno 2026-06-17 z https://scholargate.app/cs/compare