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1 ? ) 1 ICT ASP 2) Log-based Assessment of the Underlying Reasons for the Success and Failure of Dieting Jun Iio, 1 Shiro Udoguchi, 1 Yoshihiro Koyama 2 and Yuko Hasegawa 2 The web application named Eat Smart provides functions for its users to keep dietary records, exercise programs, daily comments, and other information, as the functions to support the users activities for dieting. Although these functions are considered effective in dieting, we have found the users are divided into two groups; the one is the users who have succeeded in dieting and the other is the users who have not succeeded. Therefore, this study aimed to clarify what was important in effective dieting, by analyzing the information recorded by each user. As a result, it was confirmed that the expression of users firm intention in dieting was important, and that the aimless records did not make sense in keeping effective activities. 1 Fig. 1 To calculate calorie diet diary. Comprehensive health support site. Eat Smart 1 Mitsubishi Research Institute, Inc. 2 Eat Smart Eat Smart, Inc. 1
2 SNS 3) 4) kg kg 3kg 1 8, user32172 user69342 user user4243 user2742 user Fig. 2 Examples of user data which is determined as succeeded or failure in dieting
3 ( 1 ) ) ( 2 ) ( 3 ) ( 4 ) ( ) ,299 1, Table 1 Classifing success and failure group % % % , (34 ) (2 ) 2 Table 2 Classifing success and failure group diary / 34 8, , ,
4 Table 3 3 Words which have different occurrence rate in each group Gr Gr Gr Gr Fig. 3 Two examples of user diary; an ideal one (left) and an inadequate one (right) /
5 4 2.1% χ 2 = p =1.3 7 Table 4 4 Mean and standard deviation of number of diaries which contain each word Gr [µ/σ] Gr [µ/σ] Gr [µ/σ] Gr [µ/σ] ,737, Table Classifing success and failure group food log / ,46 1,187 1,39 8, ,948 1,49 1,89,268 1,4 1,364,413 1,29 1,39
6 4.4 Table 6 6 Items in the food-log which have different occurrence rate in each group Gr Gr Gr Gr ml ) 4 KH Coder 6) 4 Fig. 4 Co-occurrence graph; success group (left) and failure group (right)
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8 1),,, Vol.94, pp , 26. 2),,,,, ASP ASP,, Vol.91, No.12, pp , 29. 3),,, 27. 4) K.Y. Lee, K. Uchida, T. Shirota, and S. Kono, Validity of a Self-administered Food Frequency Questionnaire against 7-day Dietary Records in four Seasons, Journal of Nutritional Science and Vitaminology, Vol.48, pp , 22. ),,,,,,, version 2.3.3,, 23. 6), : 2,, Vol.19, No.1, pp.1 1, 24. 7) A. Nanri, T. Mizoue, M. Noda, Y. Takahashi, M. Kato, M. Inoue, and S. Tsugane, Rice Intake and Type 2 Diabetes in Japanese Men and Women: the Japan Public Health Center-based Prospective Study, In American Journal of Clinical Nutrition, Vol.92, No.6, pp , Dec.2. 8),,,,,,, Vol.49, No.2, pp , 28. 9),,,,,,,, DPS,Vol.28, No.4, pp.3 4, 28. ),,,,,,,, Vol.2- DPS-142, No., pp.1 8, 2. 11) M. W. Newman, D. Lauterbach, S. A. Munson, P. Resnick, and M. E. Morris, It s not that I don t Have Problems, I m Just not Putting them on Facebook: Challenges and Opportunities in using Online Social Networks for Health, Proceedings of the ACM 211 Conference on Computer Supported Cooperative Work (CSCW 11), pp.341 3, Mar ),,,,, e-,, DD, Vol.28, No., pp.1 6, ),,, IHISS,, Vol.29-DPS-14, No., pp.1, ),,,,,, IC LAN,, Vol.2-CE-7, No.3, pp.1 8, 2. ),,,,,,,, Vol.211-MBL-7, No., pp.1 8, ) D. Preuveneers and Y. Berbers, Mobile Phones Assisting with Health Self-care: A Diabetes Case Study, Proceedings of the th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI 8), pp , Sep ) G. Luo and C. Tang, Automatic Home Nursing Activity Recommendation, Proceedings of AMIA Annual Symposium, pp.41 4, Nov ) G. Luo, C. Tang, and S. B. Thomas, Intelligent personal health record: experience and open issues, Proceedings of the 1st ACM International Health Informatics Symposium (IHI ), pp , Nov ) M. Wiesner and D. Pfeifer, Adapting Recommender Systems to the Requirements of Personal Health Record Systems, In Proceedings of the 1st ACM International Health Informatics Symposium (IHI ), pp.4 414, Nov. 2.
1 Fig. 1 To calculate calorie diet diary. Comprehensive health support site. Eat Smart. SNS *2 [3] 2. * c 2012 Information Processing Society of
1,a) 1 2 2, 1 2011 11 8, 2012 9 10 Log-based Assessment for the Success and Failure of Dieting Jun Iio 1,a) Shiro Udoguchi 1 Yoshihiro Koyama 2 Yuko Hasegawa 2, 1 Received: November 8, 2011, Accepted:
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