http://cogprints.org/6780/
Bias towards Regular Configuration in 2D Pointing
Extending Fitts’ law to more than one dimension has been
recognized as having important implications for HCI. In spite
of the progress made over the years, however, it is still far
from a resolved issue. Our work approaches this problem
from the viewpoint of a configuration space, which has served
as a useful conceptual framework for understanding human
preference in perception. Notably, human are found to be
biased towards regular configurations. In this work, we ex-
tended the configuration space framework to the domain of
motor behavior, analyzed 2D pointing, and developed five
models to account for the performance. An extensive experiment was conducted to measure the fit of the derived models
and that of three previous models. Consistent with our hypothesis, the model reflecting a bias towards regular configuration was found to have the most satisfactory fit with the
data. The paper concludes with discussions on improving
understanding of Fitts’ law and the implications for HCI.
Yang, Huahai
Xu, Xianggang
Applied Cognitive Psychology
Cognitive Psychology
Huahai
Yang
Xianggang
Xu