未來研究方向建議

第六章結論

第四節未來研究方向建議

習機制（Takagi, 2012），這樣的做法對於解決疲勞問題也會有實質上的幫助。

五、標籤的作用對物件內容的影響很大，它擴充了物件資訊受限與無法被分析的限制，但是標籤也存在一字多義問題（Milicevic, Nanopoulos, &

Ivanovic, 2010），如何更好的處理值得更深入的討論。

六、設計是一種追求創意的表現，若能將系統擴展至多人同時操作模式，也是值得深入探討的議題。

七、創新的二個特徵為新穎與商品化（Luo, Xiong, & Fang, 2008），若將此概念引進產品設計內，對於增加產品價值想必是有幫助的。

八、風格是一種與眾不同的特質或形式，一種表現的方式，使用各種視覺的

（或聽覺的、嗅覺的、觸覺的）表現方式，展現出一個企業或一種品牌的識別（Schmitt & Simonson, 1997）。影像是由形狀和色彩所組成，印象、記憶、聯想、象徵、經驗、習俗、生活習慣等心理因素，都會使我

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附錄一實驗組系統操作說明

會員註冊與登入（見圖 23），一開始，請於左邊視窗輸入資料，按註冊的按鈕。接著，於右邊視窗輸入帳號、密碼，再按登入的按鈕。

圖 23 系統介面－會員註冊與會員登入

壽星資料填寫（見圖 24），選擇壽星與您的關係、壽星的性別與生肖，然後按下前往挑選色彩的按鈕。

圖 24 系統介面－壽星資料填寫

賀卡封面底色的挑選（見圖 25），利用滑鼠拖曳的方式，選擇賀卡封面的底色。完成後，按下前往賀卡 2 封面底色的按鈕，直到六張賀卡的封面底色全部挑選完畢（見圖 26），再按下前往設計封面的按鈕。

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圖 25 系統介面－賀卡一封面底色挑選

圖 26 系統介面－賀卡封面底色挑選完成

賀卡內頁設計（見圖 27），一開始受測者需要先描述自己在賀卡評分過程中需要保留的賀卡標準為何，如果門檻值設置為八分，那麼在賀卡內頁設計過程中所有高於八分（含）以上的賀卡將被保留在系統的資料庫裡，供受測者回憶使用。

設置完門檻後（見圖 28），需按下旁邊完成的按鈕。

受測者接著需要按下開始的按鈕來產生六張賀卡封面設計內容（見圖 29），

這六張賀卡設計內容是系統依據專家設計的四種版面、受測者挑選的封面底色與受測者填寫的壽星生肖資訊組合而成的結果。

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圖 27 實驗組系統介面－賀卡內頁設計

圖 28 實驗組系統介面－賀卡封面設計之門檻設罝

圖 29 實驗組系統介面－賀卡封面設計之六張賀卡組合結果

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系統隨意組合的功能是系統根據受測者賀卡設計的內容與分數來組合出新一輪的六張賀卡，此六張賀卡分成三個部分，一部分是來自於上一輪最高分數的賀卡，一部分是系統機率性的將高分的賀卡進行組合，一部分是隨意組合，這樣能維持賀卡的多樣性。因此，受測者在執行系統隨意組合功能前需要先對六張賀卡評分（見圖 30），評分後，按下系統隨意組合功能就能產生新一輪的六張賀卡

（見圖 31）。

圖 30 實驗組系統介面－賀卡封面設計之分數填入

圖 31 實驗組系統介面－賀卡封面設計之系統隨意組合

我自己來 DIY 的功能讓受測者可以自己拖曳影像，受測者可以將賀卡內的影像進行重新佈置（見圖 31 卡片 A 的蛇與圖 32 卡片 A 的蛇的位置），也可以將別的賀卡內的影像拖曳到指定的賀卡內（見圖 32 卡片 A 的蛇與圖 33 卡片 B 的蛇的影像）。

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圖 32 實驗組系統介面－我自己來 DIY 之賀卡內影像拖曳

圖 33 實驗組系統介面－我自己來 DIY 之賀卡外影像拖曳

影像改變的功能（見圖 33 卡片 E 的蛇與圖 34 卡片 E 的蛇）讓受測者可以對賀卡內的影像進行變化，變化幅度從 0%至 100%，操作上需先開啟我自己來 DIY 的功能，然後點選賀卡內的影像，再選擇變化幅度，最後按下改變的按鈕即可。

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圖 34 實驗組系統介面－影像變化幅度 30%

受測者每次評分後的賀卡（高於或等於門檻值）將被記錄下來，並以清單方式呈現（卡片清單功能），因此，受測者可以選擇卡片清單內的項目（見圖 35）

來回顧之前的賀卡內容（見圖 36）。

圖 35 實驗組系統介面－卡片清單

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圖 36 實驗組系統介面－卡片清單之賀卡回顧

受測者可以選擇卡片將不滿意的賀卡進行改變（見圖 36 卡片 D 與圖 37 卡片 D），操作上，先選擇卡片 D，然後選擇卡片清單內的特定項目，按下回復即可。

圖 37 實驗組系統介面－賀卡回復

在文檔中電子賀卡自助式設計系統－以互動演化式計算為基礎 - 政大學術集成 (頁 55-84)

第六章 結論

第四節 未來研究方向建議

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A guide for social scientists. Routledge.

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Economics, 72(1), 1-13. doi: http://dx.doi.org/10.1016/S0925-5273(00)00079-7

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& Management, 49(3), 659-672. doi:

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5(1), pp.4-12.

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human fatigue interactive evolutionary computation for micromachine design.

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Science, 3(0), 611-616. doi: http://dx.doi.org/10.1016/j.procs.2010.12.102

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recommendations with rule-based induction on cold user data. Paper presented

Human-Computer Studies, 68(8), 472-482. doi: 10.1016/j.ijhcs.2009.10.005

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Applications, 39(11), 10059-10072. doi:

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customer at a time. New York: Doubleday.

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Marketing, 18(5), 437-448.

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e-commerce. Proceedings of the ACM Conference on Electronic Commerce

and metrics for cold-start recommendations. Paper presented at the Proceedings

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of brands, identity, and Image. New York: The Free Press.

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evolutionary image processing for face beautification using smaller population size. Paper presented at the 2012 IEEE International Symposium on Intelligent

assisted with collective intelligence from group decision making. Paper

第六章結論

第四節未來研究方向建議

立政治大學

立政治大學

附錄一實驗組系統操作說明

立政治大學

立政治大學

立政治大學

立政治大學

立政治大學

立政治大學