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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Ligji i Fitts×KLM-GOMS×
FushaNdërveprimi njeri-kompjuterNdërveprimi njeri-kompjuter
FamiljaHypothesis testHypothesis test
Viti i origjinës19541983
KrijuesiPaul FittsStuart Card, Thomas Moran, Allen Newell
LlojiEmpirical model of human movement time as function of distance and target sizeComputational cognitive model for task execution time prediction
Burimi themeluesFitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47(6), 381–391. DOI ↗Card, S. K., Moran, T. P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates. ISBN: 0898592437
Emërtime të tjeraFitts Law, Rapid Aimed Movement LawGOMS Model, KLM
Të lidhura44
PërmbledhjaFitts's Law is an empirical model of human rapid aimed movement, predicting that movement time increases logarithmically with the ratio of distance to target size. Formulated by Paul Fitts in 1954, this fundamental law describes how long it takes to move to and select a target (e.g., clicking a button on a screen or reaching a physical object). In human-computer interaction, Fitts's Law is widely applied to evaluate and optimize pointer-based interfaces such as mice, touchpads, and touch screens.The 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.
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  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Fitts's Law · KLM-GOMS. Marrë më 2026-06-20 nga https://scholargate.app/sq/compare