| 研究生: |
高玉蓉 Kao, Yu-Jung |
|---|---|
| 論文名稱: |
電子寵物友伴關係量表之研究 The Study on Companionship Scale of E-pet |
| 指導教授: |
陸定邦
Luh, Ding-Bang |
| 學位類別: |
碩士 Master |
| 系所名稱: |
規劃與設計學院 - 工業設計學系 Department of Industrial Design |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 中文 |
| 論文頁數: | 86 |
| 中文關鍵詞: | 友伴關係 、電子寵物 、量表 |
| 外文關鍵詞: | Companionship, Scale, E-pet |
| 相關次數: | 點閱:228 下載:9 |
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台灣三大都會區,寂寞人口達107 萬,生活型態趨向「單身化」,繼美學經濟之後,台灣開始出現「第四級幸福產業」。為排解心靈空虛、尋求慰藉,寵物市場規模逐漸擴大,然而有部分族群因受限於居住環境或其他個人因素而無法飼養寵物。電子寵物因兼具寵物部分功能,如陪伴、撫慰等,又不像真實寵物需花費太多精神照顧,因此成為目前最流行的科技玩具,甚至其扮演的已不只是玩具的角色,而是進一步強調「陪伴」的作用。
目前有些電子寵物研究直接將其稱為人工伴侶(artificial companion),強調「陪伴」為其主要功能。建立友伴關係已為電子寵物之設計趨勢,目前卻無適合量測電子寵物友伴關係之工具。而本研究目的即為建立電子寵物友伴關係之量表。
本研究之量表架構包含「真實寵物與人」、「人與人」之友伴關係以及「電子寵物建立友伴關係之設計特質」三部分,並依此架構進行題目編製,以電子寵物使用者為受測族群,進行量表預試、項目分析後形成正式量表。本研究依據正式量表施測結果分析出影響友伴程度之六項因素特質,並建立一判別友伴程度高低之方程式,未來以此量表檢測結果即可判別使用者與電子寵物之友伴關係程度,亦可分析現有電子寵物之各因素特質,供使用者作為挑選電子寵物之參考。
There are more and more lonely people in Taiwan. In order to protect against loneliness, the pet market scale increase gradually. However, some people can't have a pet for the limit of living environment or other factors. The e-pet with part of real pet function, like company or comfort, and don't need so much time to take care, become the most popular game now. The e-pet even not only just be a
game, but emphasize the "company". Some study even call the e-pet "artificial companion", focus on the company function. To establish the companionship is a design trend in e-pet, but there isn't an appropriate measure tool for the e-pet's companionship.
The purpose of the study is to establish the scale for the companionship of e-pet. The structures of the scale include three parts, the relations between "real pet and people", "people and people" and the "company features of e-pet". The subjects are designed by the structure and edited by the professional and item analysis. The results of the measure analysis are six factors, which affect the
companionship of e-pet. The study also infers a formula from the discriminant analysis for discriminating the state of companionship. In the future, just substitute the factors' averages for the formula, we can discriminate the state of the companionship.
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