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为定量估计与提高基于空间分割的手写输入系统用户绩效 ,运用Fitts定律及离散变量的数学期望等方法推导了用户绩效的数学模型。实验验证了该模型在具体界面中能较好地拟合用户在 8次 (8× 2 4字 )训练后的实际操作绩效。应用该模型可较好地拟合用户使用手写系统完成抄写任务的时间、推算输入系统某些参数的最佳设置值 ;并发现当输入系统的其它参数为定值时 ,缩短用户单字手写时间会比缩短系统识别时间能更有效地提高用户绩效。
In order to quantitatively estimate and improve user performance of handwriting input system based on spatial segmentation, mathematical models of user performance are deduced by using Fitts’ law and mathematical expectation of discrete variables. Experiments show that this model can fit the user’s actual operation performance after 8 times (8 × 2 4 words) training in specific interface. The model can be used to better fit the time when the user uses the handwritten system to complete the task of copying and writing, to calculate the optimal settings of some parameters of the input system, and to find out that when the other parameters input to the system are fixed values, Than the shorter system identification time can be more effective in improving user performance.