| 研究生: |
胡勝文 Hu, Sheng-Wen |
|---|---|
| 論文名稱: |
地圖色彩辨識性設計研究 Research on Map Color Recognition Design |
| 指導教授: |
陸定邦
LUH, Ding-Bang |
| 共同指導: |
洪郁修
Hun, Yu-Hsiu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系碩士在職專班 Department of Industrial Design (on-the-job training program) |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 64 |
| 中文關鍵詞: | 色覺障礙 、地圖識別 、色弱 、色盲 |
| 外文關鍵詞: | Maps, Colorblind |
| 相關次數: | 點閱:122 下載:0 |
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地圖,主要功能在表現空間中有分布的事物和現象,舉凡交通、建築、農業、林業、畜牧、工業、軍事戰略用途,都可以見到地圖在該類產業中的應用。而良好的視覺功能才能有效取得製圖者透過地圖所傳達的訊息。但色覺障礙者卻因為色彩的誤差而容易產生誤判,以登山者為例,儘管現行電子地圖等產品發達,在野外仍有意料之外、電子產品故障等情事可能發生,而登山活動時,必須時常透過地圖精確判斷地形、讀圖定位,判知自己的位置與方向,才能調節速度,判斷紮營地點、尋找水源,避開困難地形,防止走錯或找不到路而消耗多餘體力。也才可以避免發生迷途失蹤的狀況。因此,紙本地圖是不可或缺的工具。
全球色覺缺陷人口達8.4%,單從亞洲區來看也有約5%的色覺障礙人士;由於色覺障礙不是色覺完全喪失,依然可以識別顏色。本研究利用此概念,透過五個不同區域的地圖,分別模擬正常視覺、紅色障礙、藍色障礙、綠色障礙及全色盲障礙共五種色覺形式,調查得出色覺障礙者在地圖識別上容易判讀錯誤的地物種類,依專家學者所提的研究及建議擬定設計策略進行修正,並將其應用於修改後之地圖進行驗證,探討色覺輔助設計策略可行性。本研究結果顯示,在色覺輔助設計後,地類抽樣調查平均識別正確率,水系由51.79%提升為92.19%、道路識別率由52.31%提升至92.68%,在各形式色覺障礙中,整體識別正確率也獲得提升,證明本研究的色彩識別輔助設計策略在地圖應用具有可行性。
The main function of maps is to distribute things and phenomena in the expression space. However, people with color vision impairment are prone to misjudgment due to color errors. Take climbers as an example. When climbing, you must always accurately determine the terrain and read the map through the map Positioning, knowing your position and direction, to avoid getting lost. Therefore, paper maps are an indispensable tool.
The global color vision deficiency population reaches 8.4%. Color vision disorders are not the complete loss of color vision, they can still identify colors. This study uses this concept to simulate five types of color vision in normal vision, red barrier, blue barrier, green barrier, and full color blindness through maps of five different areas. Investigate people with color vision disorders interpret wrong map information.
Investigate the map information types that are prone to misinterpretation on people with color vision disorders, and develop design strategies based on the research suggestions provided by experts and scholars, explore the feasibility of color vision assisted design strategies.
The results of this study show that after color vision-assisted design, the average accuracy rate of sample surveys increased from 51.79% to 92.19%, and road recognition rates increased from 52.31% to 92.68%. The recognition accuracy rate has also been improved, which proves that the color recognition assisted design strategy of this study is feasible in map application.
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