Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Zákon Hicka-Hymana× | KLM-GOMS× | |
|---|---|---|
| Obor | Interakce člověk–počítač | Interakce člověk–počítač |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1952 | 1983 |
| Tvůrce≠ | William Edmund Hick and Ray Hyman | Stuart Card, Thomas Moran, Allen Newell |
| Typ≠ | Empirical model of choice reaction time as logarithmic function of number of choices | Computational cognitive model for task execution time prediction |
| Původní zdroj≠ | Hick, W. E. (1952). On the rate of gain of information. Quarterly Journal of Experimental Psychology, 4(1), 11–26. DOI ↗ | Card, S. K., Moran, T. P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates. ISBN: 0898592437 |
| Další názvy | Hick's Law, Law of Choice Reaction Time | GOMS Model, KLM |
| Příbuzné | 4 | 4 |
| Shrnutí≠ | The Hick-Hyman Law predicts that human decision time increases logarithmically with the number of equally likely choices. Independently formulated by William Edmund Hick and Ray Hyman in the early 1950s, this law describes how long it takes a person to make a choice among alternatives. In human-computer interaction, the law is widely applied to menu design, navigation hierarchies, and command selection, showing that users take longer to select from larger sets of options, but the relationship is logarithmic, not linear. | 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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