TY - INPR ID - cogprints6780 UR - http://cogprints.org/6780/ A1 - Yang, Huahai A1 - Xu, Xianggang Y1 - 2010/04/10/ N2 - 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 con?guration space, which has served as a useful conceptual framework for understanding human preference in perception. Notably, human are found to be biased towards regular con?gurations. In this work, we ex- tended the con?guration space framework to the domain of motor behavior, analyzed 2D pointing, and developed ?ve models to account for the performance. An extensive experiment was conducted to measure the ?t of the derived models and that of three previous models. Consistent with our hypothesis, the model re?ecting a bias towards regular con?guration was found to have the most satisfactory ?t with the data. The paper concludes with discussions on improving understanding of Fitts? law and the implications for HCI. PB - ACM Press KW - Con?guration space KW - Fitts? law KW - 2D pointing TI - Bias towards Regular Con?guration in 2D Pointing AV - public ER -