不规则几何图形识别中的信息取样优先序

SAMPLINGORDERFOR IRREGULAR GEOMETRIC FIGURE RECOGNITION

研究了不规则几何图形识别中的信息取样优先序。被试为浙江大学本科生 80名 ,男女各半 ,年龄 18- 2 2岁 ,色觉正常 ,视力或矫正视力正常。刺激材料为 2 0个不规则几何图形。实验的自变量有 3个 :①作业任务 ,认同与匹配 2种 ;②显示条件 ,良好与不良 2种 ;③显示方式 ,旋转与不旋转 2种。因变量用了反应时与错误指数二项。实验的作业有二项 ,一项是对呈现在CRT上图形做判别作业 ;一项是有关信息取样优先序的问卷作业。Friedman双向方差分析和Kendall一致性系数检验的结果表明 :不规则几何图形的信息取样优先序有按取样特征信息差异度序进行编排的趋势。较稳定的取样序 ,特别是将整体信息置于较优先地位的取样序有助于提高图形识别的作业绩效。

A study on sampling order for irregular geometric figure recognition was conducted. Ss were 80 university students in Zhejiang University, China, half male and half female, aged from 18 to 22, with normal color vision and normal or correct-to-normal vision. The stimuli were 20 irregular geometric figures. The independent variables were: a) visual task, figure recognition and figure matching; b)visual condition, good and not good; c)display type, rotated and not rotated .The visual performance used as dependent variables was measured by 2 criteria: a) response time, b) wrong index mark. The experiment consisted of 2 tasks, judging the target figures displayed on CRT and doing a questionnaire about the sampling order. Friedman test and Kendall's Coefficient of Concordance test showed that the sampling order for irregular geometric figure recognition was generally stable, it was accorded with the degree of the difference among the sampled-features. The sampled- features with higher degree of such difference would arrange prior order to those with lower degree. The study suggested that stable sampling order, especially with global information traits prior to local information traits, is helpful in improving the performance of figure recognition.