本研究欲探討教育背景差異的人們於不同圖形符號複雜度下的判讀績效表現，操作上採二因子實驗設計，圖形符號複雜度經集群分析，區分成低複雜度的「等級A」與高複雜度的「等級B」，受測者教育背景則分為「設計背景」與「一般背景」兩種，經問卷蒐集資料後，分別針對「正確率」及「反應時間」進行判讀績效之差異檢定，並配合錯誤比重分析，進而歸納出下述三點結論。（一）複雜度的提高，易導致判讀績效會有降低之傾向出現，因此低複雜度的圖形符號在判讀正確率與反應時間的表現上，會均較高複雜度者為佳。（二）雖然設計背景者的圖形符號判讀正確率，明顯優於一般背景者的表現，但兩者所花費的反應時間則未有顯著差異，故正確率應為判讀績效差異之改善重點。（三）圖像單位的辨識錯誤多發生於低複雜度圖形符號，同時也是判讀失敗的常見原因，而在高複雜度圖形符號中，錯誤則主要來自於圖像關係推測的偏移，及近似概念的歸納失敗。

This study conducted a two-way ANOVA experiment to evaluate the accuracy ratio and response time in recognizing graphic symbols based on the complexities of ”level A” and ”level B” by the participants of ”design group” and ”general group”. The data collected via questionnaires were analyzed to determinate the significant differences of recognition performance and the error ration. Thus, the conclusions were as followed.1. The graphic symbols with high complexity performed significantly better than low complexity in terms of both accuracy ratio and response time, suggesting that the increment of complexity may be negative for the recognition performance.2. People from design background performed better than those from general background in the accuracy ratio; however, no significant difference was shown in the response time between the two groups. Hence, improving the accuracy ratio is the point to enhance the recognition performances.3. The mistaken icon identity was the main error in recognizing the graphic symbols with low complexity; as for the errors of high complexity were mostly the failure in generalizing the common concept among icons and the deviation of inference from multiple icons.