以多元尺度法分析資通訊產品之介面圖標設計

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Title:	以多元尺度法分析資通訊產品之介面圖標設計 Icon Design Analysis of ICT Products with Multidimensional Scaling Method
Authors:	黃睿洋 HUANG, Jui-Yang
Contributors:	資訊傳播學系
Keywords:	資訊通訊科技(ICT)產品圖形化使用者介面(GUIs) 圖示(標) 多元尺度分析法(MDS) 分類實驗 Icon ICT products GUIs MDS sorting experiment
Date:	2012-12
Issue Date:	2013-10-15 14:36:27 (UTC+8)
Abstract:	資訊通訊科技(ICT)產品中圖形化使用者介面(GUIs)當中的圖示(標)目前之設計風貌已經日趨多樣，本研究目的為使用多元尺度分析法(MDS)，試圖建立足夠有科學根據的風格軸度指標，以作為相關設計人員設計圖示時的依循。研究者大量蒐集六種常用功能的圖示，包括遊戲、音樂、搜尋、設定、相機以及訊息等，每種功能蒐集滿50種不同的圖示樣本，並邀請邀請了15位受測者進行根據同樣功能的圖示的外觀相似程度進行依序分不同數量組別的實驗，透過此項運作可獲得各圖示之間的相似性矩陣，進而將受測者經統計轉製成MDS軸度圖，結果發現圖示的圖框有無與形狀、寫實與符號化程度、複雜度以及所使用的隱喻手法等，為主要MDS軸度分析之後所透露的識別關鍵特徵。另外研究者還邀請熟悉科技產品介面的評分者為這些圖示進行四項評分，分別是代表設計手法的色彩豐富度及寫實程度分數，以及代表圖示設計品質的指標，包括傳達性與喜好度。結果顯示部分特計手法特徵與設計品質指標呈現正相關趨勢。 Icon is an important visual element in graphical user interfaces (GUIs) design, and its diversity in appearance grows with the popularization of information and communication technology (ICT) products. The aim of the present study is to analysis the style variety of icons commonly used in current user interfaces by adopting multi-dimensional scaling (MDS) method. The researcher collected 300 icons evenly present six different functions, specifically setting, searching, message, camera, music and game, were obtained by a sorting experiment. The participants were asked to sort those icons that represent a same function into two, three or more groups. Each time any two icons were sorted into a same group represents the growth of their similarity. The sorting criterion simply based on the similarity of their look. Based on this non-semantic task, the similarity matrix between 50 icons of six functions was obtained. The MDS results shown that the form of frame, the realistic level, the complexity were the several revealed features in such investigation. The researcher also carried out a semantic rating of the icon stimuli. Over 80 raters who are familiar with ICT GUIs were invited to rate each icon by its colorfulness, realistic level, expressiveness, and preference. The results show a positive correlation between some semantics features.
Appears in Collections:	[Department of Information Communications & Graduate Institute of Information Communications ] thesis

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