[PDF] The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and models | Semantic Scholar
@article{Wobbrock2011TheEO, title={The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and models}, author={Jacob O. Wobbrock and Kristen Shinohara and Alex Jansen}, journal={Proceedings of the SIGCHI Conference on Human Factors in Computing Systems}, year={2011}, url={https://api.semanticscholar.org/CorpusID:18568166} }
It is found that Fitts' law is largely invariant across 1-D and 2-D, provided that univariate endpoint deviation (SDx) is used in both, but that for 2- D pointing data, bivariate endpoint deviations results in better Fitt's' law models.