Modeling User Performance on Curved Constrained Paths

Mathieu Nancel 1, 2, 3 Edward Lank 3, 4
1 MJOLNIR - Computing tools to empower users
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : In 1997, Accot and Zhai presented seminal work analyzing the temporal cost and instantaneous speed profiles associated with movement along constrained paths. Their work posited and validated the steering law, which described the relationship between path constraint, path length and the temporal cost of path traversal using a computer input device (e.g. a mouse). In this paper, we argue that the steering law fails to correctly model constrained paths of varying, arbitrary curvature, propose a new form of the law that accommodates these curved paths, and empirically validate our model.
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ACM CHI 2017 - ACM Conference on Human Factors in Computing Systems, May 2017, Denver, United States. 2017, 〈10.1145/3025453.3025951〉
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Contributeur : Mathieu Nancel <>
Soumis le : mercredi 21 juin 2017 - 14:09:03
Dernière modification le : jeudi 20 juillet 2017 - 10:15:01

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Mathieu Nancel, Edward Lank. Modeling User Performance on Curved Constrained Paths. ACM CHI 2017 - ACM Conference on Human Factors in Computing Systems, May 2017, Denver, United States. 2017, 〈10.1145/3025453.3025951〉. 〈hal-01523455〉

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