OneNote Meal: A Photo-Based Diary Study for Reflective Meal Tracking

Overview

Journal AMIA Annu Symp Proc

Specialty Medical Informatics

Date 2019 Mar 1

PMID 30815063

Citations 1

Authors

Johnna Blair

Yuhan Luo

Ning F Ma

Sooyeon Lee

Eun Kyoung Choe

Affiliations

Soon will be listed here.

Abstract

When a self-monitoring tool is used to enhance behavior awareness, the tool should afford reflection by design. This work examines the "valence of meal" (i.e., healthy versus unhealthy meal) as a means to support reflection on a person's diet in photo-based meal tracking. To study the effect of imposing valence on meal tracking, we designed two conditions-one focusing on capturing healthy meals, the other capturing unhealthy meals-and conducted a between-subjects diary study with 22 college students over four weeks. According to their group assignment, participants tracked only healthy or unhealthy meals by taking photos and rationalizing in texts why their meals were particularly healthy or unhealthy. We found that participants in both groups became more aware of their diet, but the valence of meal influenced them differently regarding their meal assessment, self-reflection, and food choice intention. We discuss ways to leverage valence in designing reflective meal tracking systems.

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References

Calitri R, Pothos E, Tapper K, Brunstrom J, Rogers P . Cognitive biases to healthy and unhealthy food words predict change in BMI. Obesity (Silver Spring). 2010; 18(12):2282-7. DOI: 10.1038/oby.2010.78. View

Choe E, Lee B, Munson S, Pratt W, Kientz J . Persuasive performance feedback: the effect of framing on self-efficacy. AMIA Annu Symp Proc. 2014; 2013:825-33. PMC: 3900219. View

Masson L, McNeill G, Tomany J, Simpson J, Peace H, Wei L . Statistical approaches for assessing the relative validity of a food-frequency questionnaire: use of correlation coefficients and the kappa statistic. Public Health Nutr. 2003; 6(3):313-21. DOI: 10.1079/PHN2002429. View

Elwood P, Bird G . A photographic method of diet evaluation. Hum Nutr Appl Nutr. 1983; 37(6):474-7. View

Chung C, Agapie E, Schroeder J, Mishra S, Fogarty J, Munson S . When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating. Proc SIGCHI Conf Hum Factor Comput Syst. 2017; 2017:1674-1687. PMC: 5432132. DOI: 10.1145/3025453.3025747. View

Hales S, Dunn C, Wilcox S, Turner-McGrievy G . Is a Picture Worth a Thousand Words? Few Evidence-Based Features of Dietary Interventions Included in Photo Diet Tracking Mobile Apps for Weight Loss. J Diabetes Sci Technol. 2016; 10(6):1399-1405. PMC: 5094328. DOI: 10.1177/1932296816651451. View

Adriaanse M, de Ridder D, de Wit J . Finding the critical cue: implementation intentions to change one's diet work best when tailored to personally relevant reasons for unhealthy eating. Pers Soc Psychol Bull. 2008; 35(1):60-71. DOI: 10.1177/0146167208325612. View

Krishnamurthy P, Carter P, Blair E . Attribute Framing and Goal Framing Effects in Health Decisions. Organ Behav Hum Decis Process. 2001; 85(2):382-399. DOI: 10.1006/obhd.2001.2962. View

Willett W, Sampson L, Stampfer M, Rosner B, Bain C, Witschi J . Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985; 122(1):51-65. DOI: 10.1093/oxfordjournals.aje.a114086. View

10.

Furst T, Connors M, Bisogni C, Sobal J, Falk L . Food choice: a conceptual model of the process. Appetite. 1996; 26(3):247-65. DOI: 10.1006/appe.1996.0019. View

11.

Bird G, Elwood P . The dietary intakes of subjects estimated from photographs compared with a weighed record. Hum Nutr Appl Nutr. 1983; 37(6):470-3. View

12.

Tversky A, Kahneman D . The framing of decisions and the psychology of choice. Science. 1981; 211(4481):453-8. DOI: 10.1126/science.7455683. View

13.

Hu F, Rimm E, Smith-Warner S, Feskanich D, Stampfer M, Ascherio A . Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999; 69(2):243-9. DOI: 10.1093/ajcn/69.2.243. View

14.

Nelson M, Atkinson M, Darbyshire S . Food photography II: use of food photographs for estimating portion size and the nutrient content of meals. Br J Nutr. 1996; 76(1):31-49. DOI: 10.1079/bjn19960007. View

15.

Thomson C, Giuliano A, Rock C, Ritenbaugh C, Flatt S, Faerber S . Measuring dietary change in a diet intervention trial: comparing food frequency questionnaire and dietary recalls. Am J Epidemiol. 2003; 157(8):754-62. DOI: 10.1093/aje/kwg025. View

16.

Epstein D, Cordeiro F, Fogarty J, Hsieh G, Munson S . Crumbs: Lightweight Daily Food Challenges to Promote Engagement and Mindfulness. Proc SIGCHI Conf Hum Factor Comput Syst. 2017; 2016:5632-5644. PMC: 5428072. DOI: 10.1145/2858036.2858044. View