Comparer des méthodes

	La loi de Fitts	KLM-GOMS
Domaine	Interaction humain-machine	Interaction humain-machine
Famille	Hypothesis test	Hypothesis test
Année d'origine	1954	1983
Auteur d'origine	Paul Fitts	Stuart Card, Thomas Moran, Allen Newell
Type	Empirical model of human movement time as function of distance and target size	Computational cognitive model for task execution time prediction
Source fondatrice	Fitts, 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.	Card, S. K., Moran, T. P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates. ISBN: 0898592437
Alias	Fitts Law, Rapid Aimed Movement Law	GOMS Model, KLM
Apparentées	4	4
Résumé	Fitts'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.