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題名:圖形符號的資訊負載及其判讀績效研究
作者:許子凡 引用關係
作者(外文):Tzu-Fan Hsu
校院名稱:國立臺灣科技大學
系所名稱:設計研究所
指導教授:林品章
學位類別:博士
出版日期:2010
主題關鍵詞:圖形符號資訊負載組合模式資訊量判讀績效Graphical symbolInformation loadCombination modeInformation amountRecognition performance
原始連結:連回原系統網址new window
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本研究從圖形符號自身之訊息組態,即資訊負載的角度切入,藉其對於正確率與反應時間等表現造成之差異,歸納出人們判讀的共同性與差異性,以做為視覺傳達設計之參考,期能提供使用者更佳的使用經驗與效能表現。
在執行的流程規劃上,本研究從文獻分析著手,歸納出類型劃分(組合模式)與等級劃分(資訊量)兩種資訊負載的操作模式,再以AIGA圖形符號系統做為刺激物之來源,經由設計背景與一般背景兩類型受測者進行判讀績效之比較,其流程共分為三個階段:(1)圖形符號的組合模式與圖像單位之類型分析。(2)從組合模式探討圖形符號的判讀正確率與反應時間。(3)從資訊量探討圖形符號的判讀正確率與反應時間。
各階段所蒐集到的數據及資料,經統計檢定與對照分析後,彙整出下述五項結論:
1.複數圖像單位所構成的圖形符號,其組合模式可分為:「指向+圖像式」、「人形+圖像式」、「符號+圖像式」、「圖像+圖像式」等四種類型;而此一類型認知,在設計背景與一般背景的族群間存在高度共同性,意味著若將組合模式之認知概念應用於視覺傳達設計時,將有助於使用者對於圖形符號的訊息判讀績效。
2.經由卡片分群的操作,顯示設計背景者與一般背景者雖擁有組合模式的認知共識,但兩族群在分群過程中仍存在著部分差異,其分別為:(1)組合模式的類型認同一致性。(2)合併過程的次集群差異。(3)刺激物分派結果不同的歸類差異。
3.不同組合模式圖形符號所呈現的判讀績效,以「指向+圖像式」最佳,不論是正確率或反應時間均然,「人物+圖像式」次之,而「圖像+圖像式」的反應時間雖較「符號+圖像式」為佳,但兩者在正確率表現上卻無明顯不同,顯示圖形符號組合模式對於人們的判讀績效,確屬一重要之影響變數。
4.低資訊量等級的圖形符號,其正確率與反應時間的表現均較高資訊量等級為佳,意味著資訊量的提升,雖可傳遞更多資訊,但對於人們的判讀績效不一定會有正面助益,而從圖形符號組合模式的觀點,則可解釋為因單一圖像單位與複數圖像單位兩種組合模式的類型,對於其判讀績效所造成之差異。
5.設計背景者在判讀正確率的表現上較一般背景者為佳,而反應時間上則未有顯著之差異,其常見的錯誤情況可歸納為:(1)圖像單位辨識錯誤。(2)圖像單位間共同概念之聯想失敗。(3)圖像單位間關係的推論偏移等三種。故在視覺傳達設計中若能將上述因素加入考量,將有助於人們判讀績效的提升。
Based on the aspect of information load, this study evaluated the recognition performance of graphical symbol in terms of accuracy ratio and response time in order to explore the recognition commonality and differentiation between the people with different educational backgrounds.
To build the fundamental theory of experiment, this study conducted literature reviews with related research fields, utilizing the AIGA pictograms system as source template, and divided the operational methods of information load into: classification by category, that is combination mode, and classification by level, that is information amount. The whole experiment was preceded in three phases: (1) Classifying the combination modes of graphical symbol and the types of symbol objects; (2) Evaluating the recognition performance among combination modes and educational backgrounds; (3) Evaluating the recognition performance between information load levels and educational backgrounds.
The findings may provide references for visual communication, and enable designers to enhance users’ performance and experience in the recognition of graphical symbols. The results obtained by the study are as followed.
1.The combination modes of graphical symbols are categorized into: “direction + icon”, “human + icon”, “symbol + icon”, and “icon + icon”. A high commonality exists in the categorized result between people with different educational backgrounds, showing a support to improve the recognition performance by applying its concept in visual communication.
2.From the angle of card sorting manipulation, the design group and the general group had the common clustering results; however, the slight differences still existed in the clustering process between them, which were: (1) agreement difference; (2) assignment difference; and (3) sub-cluster difference.
3.Under the same design quality, “direction + icon” showed the best recognition performance in terms of accuracy ratio and response time, followed by “human + icon”. “icon + icon” performed better than “sign + icon” in response time, but the difference in accuracy ratio was insignificant. It was determined that the combination mode was an effective variable for recognition.
4.The information amount of graphical symbol was measured by information theory. The graphical symbol with low information load was better for effectiveness and efficiency. Although high information load might have a benefit of message amount, it was not necessarily positive about the recognition performance.
5.People with design background perform better than those with general background in accuracy ratio; however, there are no significant differences shown in response time. The errors are classified into three types: mistaken icon identity; (2) deviation of inference; (3) failure in generalizing the common concept among icons. To lessen the difference and improve the performance, these recognition commonalities should be considered in design thinking.
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