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| Legge di Fitts× | KLM-GOMS× | |
|---|---|---|
| Campo | Interazione uomo-macchina | Interazione uomo-macchina |
| Famiglia | Hypothesis test | Hypothesis test |
| Anno di origine≠ | 1954 | 1983 |
| Ideatore≠ | Paul Fitts | Stuart Card, Thomas Moran, Allen Newell |
| Tipo≠ | Empirical model of human movement time as function of distance and target size | Computational cognitive model for task execution time prediction |
| Fonte seminale≠ | 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. DOI ↗ | 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 |
| Correlati | 4 | 4 |
| Sintesi≠ | 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. |
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