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Sheria ya Fitts×KLM-GOMS×
NyanjaMwingiliano wa Binadamu na KompyutaMwingiliano wa Binadamu na Kompyuta
FamiliaHypothesis testHypothesis test
Mwaka wa asili19541983
MwanzilishiPaul FittsStuart Card, Thomas Moran, Allen Newell
AinaEmpirical model of human movement time as function of distance and target sizeComputational cognitive model for task execution time prediction
Chanzo asiliaFitts, 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
Majina mbadalaFitts Law, Rapid Aimed Movement LawGOMS Model, KLM
Zinazohusiana44
MuhtasariFitts'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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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Fitts's Law · KLM-GOMS. Imepatikana 2026-06-20 kutoka https://scholargate.app/sw/compare