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A mathematical description of the speed/accuracy trade-off of aimed movement

Yves Guiard 1, 2 Olivier Rioul 3, 4 
1 DIVA - Design, Interaction, Visualization & Applications
LTCI - Laboratoire Traitement et Communication de l'Information
3 COMNUM - Communications Numériques
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : Target clicking having proved an indispensable building block of interface design, it is little surprise that the speed/accuracy trade- off of aimed movement has always been a keen concern of HCI research. The trade-off is described by the Fitts law. In HCI and psychology likewise, the traditional approach has focused on the time-minimisation paradigm of Fitts [5], ignoring other relevant paradigms in which the Fitts law fails, such as the spread- minimisation paradigm of Schmidt et al. [18]. This paper aims at unearthing and consolidating the foundations of the speed/accuracy trade-off problem. Taking mean movement time as our speed measure and relative spread as our accuracy measure, we show that a small set of obvious mathematical axioms predict not only the data from the Fitts and the Schmidt paradigms but also the data from the more recent dual-minimisation paradigm of Guiard et al. [7]. The new mathematical framework encourages a more complete understanding: not only is it possible to estimate an amount of resource, a quantity equivalent to the classic throughput, it is also possible to characterize the resource- allocation strategy ― the other, no less important facet of the trade-off problem which has been left aside so far. The proposed approach may help HCI practitioners obtain from their experimental data more reliable and more complete information on the comparative merits of design options.
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Soumis le : mercredi 10 août 2022 - 18:10:49
Dernière modification le : jeudi 11 août 2022 - 03:22:59
Archivage à long terme le : : vendredi 11 novembre 2022 - 19:06:28


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Yves Guiard, Olivier Rioul. A mathematical description of the speed/accuracy trade-off of aimed movement. 2015 British Human Computer Interaction Conference (HCI 2015), Jul 2015, Lincoln, United Kingdom. pp.91-100, ⟨10.1145/2783446.2783574⟩. ⟨hal-02300015⟩



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