中国科学院心理研究所机构知识库

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。

To predict and improve the human performance in spatial segmentation Chinese handwriting recognizer, a mathematic performance model was set up based on the Fitts’law and mathematical expectation of the discrete variables. The model was verified by the experiment that the model could account for the variance of human performance data in the experiment very well (R square> 0. 85) after the subjects experienced 8 times (8 ×24 characters) of training. The model can be applied into (1) the prediction of the task completion time when users are interacting with a specific spatial segmentation handwriting recognizer in copyingtask ; (2) the choice of the optimal parameters in the recognizer ; It was also found by the model that when the other parametersin the handwriting recognizer are constants , the reduction of user’s handwriting time per character will play a more important rolein determining human performance than the reduction of recognition time.