The perils of confounding factors: How Fitts’ law experiments can lead to false conclusions
Published in ACM CHI, 2018
Recommended citation: Gori, Julien, et al. "The perils of confounding factors: How Fitts’ law experiments can lead to false conclusions." Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 2018. https://hal.archives-ouvertes.fr/hal-01690089/document
In this paper, we study how and why the typical experiment design in Fitts’ law studies does not allow one to discriminate between the Fitts model and a simple distance covering model. We propose a simple check to make sure you are not exposed to that risk when conducting a Fitts’ law study.