ABSTRACT
Food choices are among the most frequent and important health decisions in everyday life, but remain notoriously difficult to capture. This work examines opportunities for lightweight photo-based capture in mobile food journals. We first report on a survey of 257 people, examining how they define healthy eating, their experiences and challenges with existing food journaling methods, and their ability to interpret nutritional information that can be captured in a food journal. We then report on interviews and a field study with 27 participants using a lightweight, photo-based food journal for between 4 to 8 weeks. We discuss mismatches between motivations and current designs, challenges of current approaches to food journaling, and opportunities for photos as an alternative to the pervasive but often inappropriate emphasis on quantitative tracking in mobile food journals.
- Amft, O., Stäger, M., Lukowicz, P., and Tröster, G. Analysis of Chewing Sounds for Dietary Monitoring. UbiComp 2005, 56--72. Google ScholarDigital Library
- Andrew, A.H., Borriello, G., and Fogarty, J. Simplifying Mobile Phone Food Diaries: Design and Evaluation of a Food Index-Based Nutrition Diary. PervasiveHealth 2013, 260--263. Google ScholarDigital Library
- Arab, L., Estrin, D., Kim, D.H., Burke, J., and Goldman, J. (2011). Feasibility Testing of an Automated Image-Capture Method to Aid Dietary Recall. Eur J Clin Nutr, 65(10), 1156--1162.Google ScholarCross Ref
- Barrett-Connor, E. (1991). Nutrition Epidemiology: How Do We Know What They Ate? Am J Clin Nutr, 54(1 Suppl), 182S--187S.Google ScholarCross Ref
- Baumer, E.P.S., Katz, S.J., Freeman, J.E., Adams, P., Gonzales, A.L., Pollak, J., Retelny, D., Niederdeppe, J., Olson, C.M., and Gay, G.K. Prescriptive Persuasion and Open-Ended Social Awareness. CSCW 2012, 475--484. Google ScholarDigital Library
- Bird, G. and Elwood, P.C. (1983). The Dietary Intakes of Subjects Estimated from Photographs Compared with a Weighed Record. Hum Nutr Appl Nutr, 37(6), 470--473.Google Scholar
- Burke, B.S. (1947). The Dietary History as a Tool in Research. J Am Diet Assoc, 23(12), 1041--1046.Google Scholar
- Burke, L.E., Wang, J., and Sevick, M.A. (2011). Self-Monitoring in Weight Loss: A Systematic Review of the Literature. J Am Diet Assoc, 111(1), 92--102.Google ScholarCross Ref
- Chahoud, G., Aude, Y.W., and Mehta, J.L. (2004). Dietary Recommendations in the Prevention and Treatment of Coronary Heart Disease: Do We Have the Ideal Diet Yet? Am J Cardiol, 94(10), 1260--1267.Google ScholarCross Ref
- Choe, E.K., Lee, N.B., Lee, B., Pratt, W., and Kientz, J.A. Understanding Quantified-Selfers? Practices in Collecting and Exploring Personal Data. CHI 2014, 1143--1152. Google ScholarDigital Library
- Cordeiro, F., Epstein, D.,Thomaz, E., Bales, E., Jagannathan, A.K., Abowd, G., and Fogarty, J. Barriers and Negative Nudges: Exploring Challenges in Food Journaling. CHI 2015, To Appear. Google ScholarDigital Library
- Craig, M.R., Kristal, A.R., Cheney, C.L., and Shattuck, A.L. (2000). The Prevalence and Impact of 'Atypical' Days in 4-Day Food Records. J Am Diet Assoc, 100(4), 421--427.Google ScholarCross Ref
- Frost, J. and Smith, B.K. Visualizing Health: Imagery in Diabetes Education. DUX 2003, 1--14. Google ScholarDigital Library
- Grimes, A. and Harper, R. Celebratory Technology: New Directions for Food Research in HCI. CHI 2008, 467--476. Google ScholarDigital Library
- Heizer, W.D., Southern, S., and McGovern, S. (2009). The Role of Diet in Symptoms of Irritable Bowel Syndrome in Adults: A Narrative Review. J Am Diet Assoc, 109(7), 1204--1214.Google ScholarCross Ref
- Hollis, J.F., Gullion, C.M., Stevens, V.J., Brantley, P.J., Appel, L.J., Ard, J.D., Champagne, C.M., Dalcin, A., Erlinger, T.P., Funk, K., Laferriere, D., Lin, P.-H., Loria, C.M., Samuel-Hodge, C., Vollmer, W.M., and Svetkey, L.P. (2008). Weight Loss During the Intensive Intervention Phase of the Weight-Loss Maintenance Trial. Am J Prev Med, 35(2), 118--126.Google ScholarCross Ref
- Kanfer, F.H. (1970). Self-Monitoring: Methodological Limitations and Clinical Applications. J Consult Clin Psych, 35(2), 148--152.Google ScholarCross Ref
- Kong, F. and Tan, J. DietCam: Regular Shape Food Recognition with a Camera Phone. BSN 2011, 127--132. Google ScholarDigital Library
- Lansky, D. and Brownell, K.D. (1982). Estimates of Food Quantity and Calories: Errors in Self-Report among Obese Patients. Am J Clin Nutr, 35(4), 727--732.Google ScholarCross Ref
- Livingstone, M.B., Prentice, A.M., Strain, J.J., Coward, W.A., Black, A.E., Barker, M.E., McKenna, P.G., and Whitehead, R.G. (1990). Accuracy of Weighed Dietary Records in Studies of Diet and Health. BMJ, 300(6726), 708--712.Google ScholarCross Ref
- Mamykina, L., Mynatt, E., Davidson, P., and Greenblatt, D. MAHI: Investigation of Social Scaffolding for Reflective Thinking in Diabetes Management. CHI 2008, 477--486. Google ScholarDigital Library
- Mamykina, L., Mynatt, E.D., and Kaufman, D.R. Investigating Health Management Practices of Individuals with Diabetes. CHI 2006, 927--936. Google ScholarDigital Library
- Mankoff, J., Hsieh, G., Hung, H.C., Lee, S., and Nitao, E. Using Low-Cost Sensing to Support Nutritional Awareness. UbiComp 2002, 371--376. Google ScholarDigital Library
- Marr, J.W. (1971). Individual Dietary Surveys: Purposes and Methods. World Rev Nutr Diet, 13, 105--164.Google ScholarCross Ref
- Mattila, E., Pärkkä, J., Hermersdorf, M., Kaasinen, J., Vainio, J., Samposalo, K., Merilahti, J., Kolari, J., Kulju, M., Lappalainen, R., and Korhonen, I. (2008). Mobile Diary for Wellness Management - Results on Usage and Usability in Two User Studies. IEEE Trans Inf Technol Biomed, 12(4), 501--512. Google ScholarDigital Library
- Nelson, M., Atkinson, M., and Darbyshire, S. (1996). Food Photography II: Use of Food Photographs for Estimating Portion Size and the Nutrient Content of Meals. Br J Nutr, 76(1), 31--49.Google ScholarCross Ref
- Noronha, J., Hysen, E., Zhang, H., and Gajos, K.Z. Platemate: Crowdsourcing Nutritional Analysis from Food Photographs. UIST 2011, 1--12. Google ScholarDigital Library
- Purpura, S., Schwanda, V., Williams, K., Stubler, W., and Sengers, P. Fit4Life: The Design of a Persuasive Technology Promoting Healthy Behavior and Ideal. CHI 2011, 423--432. Google ScholarDigital Library
- Rahman, T., Adams, A.T., Zhang, M., Cherry, E., Zhou, B., Peng, H., and Choudhury, T. BodyBeat: A Mobile System for Sensing Non-Speech Body Sounds. MobiSys 2014, 2--13. Google ScholarDigital Library
- Sicherer, S.H. and Sampson, H.A. (2010). Food Allergy. J Allergy Clin Immunol, 125(2 Suppl 2), S116--S125.Google ScholarCross Ref
- Stone, A.A., Shiffman, S., Schwartz, J.E., Broderick, J.E., and Hufford, M.R. (2003). Patient Compliance with Paper and Electronic Diaries. Control Clin Trials, 24(2), 182--199.Google ScholarCross Ref
- Thomaz, E., Parnami, A., Essa, I., and Abowd, G.D. Feasibility of Identifying Eating Moments from First-Person Images Leveraging Human Computation. SenseCam 2013, 26--33. Google ScholarDigital Library
- Tsai, C.C., Lee, G., Raab, F., Norman, G.J., Sohn, T., Griswold, W.G., and Patrick, K. (2007). Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance. Mobile Netw Appl, 12(2-3), 173--184. Google ScholarDigital Library
- Urist, J. My Fitness Band Is Making Me Fat: Users Complain of Weight Gain with Trackers. Today.com, July 16, 2014.Google Scholar
- Wansink, B. and van Ittersum, K. (2007). Portion Size Me: Downsizing Our Consumption Norms. J Am Diet Assoc, 107(7), 1103--1106.Google ScholarCross Ref
- Wilde, M.H. and Garvin, S. (2007). A Concept Analysis of Self-Monitoring. J Adv Nurs, 57(3), 339--350.Google ScholarCross Ref
- Zepeda, L. andDeal, D.(2008). Think BeforeYouEat: PhotographicFood DiariesasInterventionToolstoChange Dietary DecisionMakingand Attitudes.IntJ ConsumStud, 32(6), 692--698.Google Scholar
- Zhu, F., Bosch, M., Boushey, C.J., and Delp, E.J. (2010). An Image Analysis System for Dietary Assessment and Evaluation. ICIP 2010, 1853--1856.Google Scholar
Index Terms
- Rethinking the Mobile Food Journal: Exploring Opportunities for Lightweight Photo-Based Capture
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