• 沒有找到結果。

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由於本研究受限於人力成本與時間,餐點資料之範圍限縮在政大附近的 32 間店家來模擬真實的記錄環境,本研究經過設計,限制受試者到指定餐廳用餐;

因此,在未來研究方向建議如下:

1. 利用『群眾外包』的方式,讓資料庫覆蓋率更完整、更具彈性。考慮到 不同的餐廳在用料上與份料會有所不同,甚至在不同季節店家的菜單有 可能也會有所變化,因此若是能建立群眾外包機制,我們就能以更為流 動的方式,更新特別的餐點。

2. 利用貝式框架,經由個人的飲食記錄,給予偏好之健康食材。例如,在 某家餐廳選擇餐點時,則我們能夠優先提供個人偏好的餐點。

[1] Nutrition and Health Survey in Taiwan http://nahsit.nhri.org.tw/

[2] Bill Gates. The Road Ahead. New York: Viking Press.1995

[3] M. Bamberg. New Image Frontiers: Defining the Future of Photography.

Cambridge: Course Technology, 2012

[4] F. E. Thompson at la., Need for technological innovation in dietary assessment , Proc. of J. Amer Diet Assoc 110(1): pp. 48-51, 2010.

[5] Y.C. Yang at al., ” Using Real Time Physical Activity Record and Remind System and Food Intake Image Analysis System to Customize Health Management”, school of Medicine, National Cheng Kung University, 2011.

[6] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance”, Proc ofICUIMC '10 Proceedings of the 4th International Conference on Uniquitous Information Management and

Communication Article No. 56 , 2010.

[7] K Aizawa at al., “Food Balance Estimation by Using Personal Dietary Tendencies in a Multimedia Food Log”, Proc. of Multimedia, IEEE Transactions on pp. 2176 - 2185, 2013

[8] K Aizawa at al., “Image Processing Based Approach to Food Balance Analysis for Personal Food Logging”, Proc of Multimedia and Expo (ICME), 2010 IEEE

International Conference on pp. 625 - 630, 2010

[9] Pishva et al. “Bread recognition using color distribution analysis”. Proc of IEICE TRANSACTIONS on Information and Systems Vol.E84-D No.12

pp 1651-1659, 2001.

[10] Hoashi, H. Image Recognition of 85 Food Categories by Feature Fusion,Proc of Multimedia (ISM), 2010 IEEE International Symposium on pp 296-301., 2010.

[11] Shulin Yang , et al. “Food Recognition Using Statistics of Pairwise Local Features” . Proc of Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on pp. 2249 - 2256 2010.

[12] Ye He at la. “Context based food image analysis”, Proc. of

Image Processing (ICIP), 20th IEEE International Conference pp 2748 - 2752. 2003.

[13] Jon Noronha at la.,PlateMate-_Crowsourcing Nutrition Analysis from Food Photographs, Proc of 24th annual ACM symposium on User interface software and technology, UIST '11, pp. 1-12, 2011

[7] Ames, M., & Naaman, M. “Why we tag: Motivations for annotation in mobile and online media”.

Proc. of the CHI '07 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp971-980, 2007

[8] G. Bell and J. Gemmell . Total Recall: How the E-Memory Revolution Will Change Everything. New York: Dutton, 2009

[9] Warren Belasco. Food: The Key Concepts. New York : Berg, 2008

[10] Atsushi Fujaii at al . “A System for Supporting Dietary Habits: Planning Menus and Visualizing Nutritional Intake Balance” , Proc. Of the ICUIMC '10 Proceedings of the 4th International Conference on Uniquitous Information Management and Communication Article No. 56, 2010.

[11] Mayumi Ueda at la. “User's Food Preference Extraction for Personalized Cooking Recipe Recommendation”. Proc. of the Second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation, 2011.

[13] H. Xie, L. Yu, and Q. Li. “A hybrid Semantic Item Model for Recipe Search by Example”, Proc. of Multimedia (ISM), 2010 IEEE International Symposium on pp 254 - 259, 2010.

[14] Lydia Zepeda.”Think before you eat: photographic food diaries as intervention tools to change dietary decision making and attitudes”, Proc of the nternational

Women”. Proc. of Journal of the Academy of Nutrition and Dietetics, Vol. 112, Issue 9, Pages 1428–1435, 2012.

[17] Toshiki at al., “Using social media to change eating habits without conscious effort”, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication pp. 527-535, 2014

[18]Patrik k at al.,”A text message-based intervention for weight loss: randomized controlled trial”,Proc at J Med Internet Res 13;11(1):e1. doi: 10.2196/. 2009

[19] J. P. Pollak at al. “It’s Time to Eat! - Using Mobile Games to Promote Healthy Eating”,Proc of the Pervasive Computing, IEEE (Volume:9 , Issue: 3 ) pp. 21 - 27 ,2010.

[20] IM Lopes at al. A mobile health monitoring solution for weight control.Proc of the Wireless Communications and Signal Processing (WCSP), 2011 International Conference on pp.1-5, 2011.

[21] Nettleton, S. Governing the risky self: How to become healthy, wealthy and wise.

In A. Petersen and R. Bunton (Eds.), Foucault, health and medicine,1997

[22] Bandura A. self-efficacy toward a unifying theory of behavioral change. Proc of the , Vol 84(2), Mar 1977, 191-215., 1997

[23]RW White, motivation reconsidered the concept of competence. Proc of the Psychological Review, Vol 66(5), Sep 1959, 297-333., 1959

[23]JB Rotter,Generalized. “expectancies for internal versus external control of reinforcement”,Proc of the Psychological Monographs: General and Applied, Vol 80(1), 1-28.,1996

[24] Bandura A, “human agency in social cognitive theory. american psychologist”, Proc of the American Psychologist, Vol 44(9), Sep 1989, 1175-1184., 1989

[25] Bandura A, “Some Reflections on Reflection, psychological review”,Proc of the Journal of Personality Assessment (Impact Factor: 2.01). 01/2006; 85(3):344-6.,1990 [26] Champion VL, Instrument development for health belief model constructs., Proc of the ANS Adv Nurs Sci. 1984 Apr;6(3):73-85.,1984

[27] Abood DA at al.,Nutrition education worksite intervention for university staff:

application of the health belief model. Proc of the J Nutr Educ Behav. 2003 Sep-Oct;35(5):260-7.,2003

[28] Chew F., Testing the influence of the health belief model and a television

program on nutrition behavior, Proc of the Health Commun. 1998;10(3):227-45.,1998 [29] Peng W , Design and evaluation of a computer game to promote a healthy diet for young adults., Proc of the Health Commun. 2009 Mar;24(2):115-27,2009

[30] Bandura A.,SOCIAL COGNITIVE THEORY: An Agentic Perspective, J. Pers.

Soc. Proc of the Annu. Rev. Psychol. 2001. 52:1–26, 2001

[31] Clark NM1, Dodge JA, Exploring self-efficacy as a predictor of disease management. Proc of the Health Educ Behav. 1999 Feb;26(1):72-89., 1999

[32] Kim D. Reynolds ,Social Cognitive Model of Fruit and Vegetable Consumption in Elementary School Children, Proc of the Journal of Nutrition Education and Behavior volume 31, Issue 1, Pages 23–30,1999

[33] Anderson E.S at al., Self-regulation, self-efficacy, outcome expectations, and social support: social cognitive theory and nutrition behavior. Proc of the Ann Behav Med. 2007 Nov-Dec;34(3):304-12.,2007

[34] D. G. Lowe, “Object recognition from local scale-invariant features,”Proc of the Computer Vision, 1999. The Proceedings of the Seventh IEEE International

Conference on vol. 2, pp.1150–1157, 1999.

[35] H. Bay, T. Tuytelaars, and L. Van Gool, “Surf: Speeded up robust features,”Computer Vision–ECCV 2006, pp. 404–417, 2006.

[36] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Building personal digital

‧ 國

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[38] Kuo, Pei-Jeng, Terumasa Aoki, and Hiroshi Yasuda. “Continuous Archiving of Personal Digital Photograph Collections with a MPEG-7 Based Dozen Dimensional Digital Content Architecture”; Proc. of Archiving Conference Society for Imaging Science and Technology pp. 188-192(5), 2005.

[39] Po-Yen Chen and Pei-Jeng Kuo, ”Archiving of Personal Digital Photograph Collections with a MPEG-7 based Geotag Related Annotation Methodology,”Proc of the Archiving 2012 Copenhagen, pp. 107-110(4), 2012.

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附錄一

2015飲食管理手機應用程式實驗問卷前測

您好,本研究為【基於行動影像標簽的飲食管理系統之可行性分析】之個人 資料填寫單。以下基本資料僅供學術研究用,全不對外開放,請您放心填寫,非 常感謝您的合作。

研究單位:國立政治大學資訊科學研究所 指導教授:郭正佩老師 研究生:何浩瑋 敬上

1. 姓名:

2. 性別: 女 男 3. 年齡:

4. 職業背景:

5. 教育程度: 國中(含)以下 高中/高職 大學/大專院校 碩/博士 6. 請問您是否熟悉智慧型手機的操作: 是 否

7. 使用紙本記錄飲食的經驗: 無 一年以下 1-2 年 3-4 年 5 年以上 8. 使用什麼工具來記錄飲食(可複選): 紙本電腦軟體手機其他

9. 是否有使用智慧型手機上的飲食管理應用程式的經驗: 無有

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(下一頁還有題目)

【飲食行為】

請您稍微回憶過去(實驗前)兩星期內,選出一個最貼近您的飲食狀況打 V。

從不 很少 偶爾 經常 總是 每週 每週 每週 每週 每週 0 天 1-2 天 3 天 4-5 天 6-7 天

13. 每天吃全榖根莖類      14. 每天吃奶類      15. 每天吃蔬菜      16. 每天吃水果      17. 每天吃堅果油脂類      18. 每天吃豆蛋魚肉類     

此部份問卷題目結束,感謝您撥冗參與本次實驗。

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