基于Fitts′定律的预测用户点击错误率模型  

A model of predicting user′s clicking error rate based on Fitts′ law

作　　者：徐荣龙[1] 刘正捷[1] 

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026

出　　处：《华中科技大学学报（自然科学版）》2009年第11期46-49,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：欧盟第五框架计划/国家中欧科技合作计划资助项目(IST-1999-29067)

摘　　要：为了使研究人员能对用户点击界面目标时的错误率进行快速预测,提出了一种基于Fitts′定律的预测用户点击错误率模型,并用实验验证了该模型的有效性.第一阶段的实验是为了计算Fitts′定律中的系数值,并将其用于第二阶段实验的数据分析;第二阶段的实验在10种时间受控的条件下进行,目的是消除用户的个体差异.实验结果表明:测试数据符合Fitts′定律,并且该模型预测得到的错误率与实验测试得到的错误率非常接近(二者相关性为0.953 7),因此该模型是有效的.A model was derived by using Fitts＇ law to predict the user＇s clicking error rate. The validi ty of the model was tested by an experiment which was divided two phases. The goal of the first phase experiment was to calculate coefficients of the Fitts＇ law. They could be applied to the data analysis of the second phase experiment. There were 10 kinds of time-controlled conditions in the second phase experiment in order to ignore individual differences. The experimental results indicate that the data are agreement with Fitts＇ law, and that the predicted error rate by the model coincides with the observed error rate in the experiment （the relativity between is 0. 953 7）.

关 键 词：人机交互 Fitts′定律 移动时间 点击错误率模型 有效性 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]