PlateMate: Crowdsourcing nutrition analysis from food photographs

UIST'11 - Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology

Volumn , Issue , 2011, Pages 1-11

  Noronha, Jon ^a   Hysen, Eric ^a   Zhang, Haoqi ^a   Gajos, Krzysztof Z ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

Crowdsourcing; Human computation; Mechanical Turk; Nutrition; Remote food photography

Indexed keywords

ALGORITHMIC ANALYSIS; COMPLEX TASK; CROWDSOURCING; FOOD INTAKE; HUMAN COMPUTATION; MANAGEMENT FRAMEWORKS; MECHANICAL TURKS; REMOTE FOOD PHOTOGRAPHY; SELF-REPORTING;

CARBOHYDRATES; PHOTOGRAPHY; USER INTERFACES;

NUTRITION;

EID: 80755187853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2047196.2047198     Document Type: Conference Paper

References (21)

1. Amft, O., Stager, M., Lukowicz, P., and Tröster, G. Analysis of chewing sounds for dietary monitoring. In Ubicomp. Springer, 2005, volume 3660 of Lecture Notes in Computer Science, 56-72.
2. Ann Yon, B., Johnson, R., Harvey-Berino, J., and Gold, B. The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. Journal of the American Dietetic Association, 106, 8 (2006), 1256-1259. (Pubitemid 44079963)
3. Bernstein, M., Little, G., Miller, R., Hartmann, B., Ackerman, M., Karger, D., Crowell, D., and Panovich, K. Soylent: a word processor with a crowd inside. In Proc. UIST'10. ACM, 2010, 313-322.
4. Champagne, C., Bray, G., Kurtz, A., Monteiro, J., Tucker, E., Volaufova, J., and Delany, J. Energy intake and energy expenditure:: A controlled study comparing dietitians and non-dietitians. Journal of the American Dietetic Association, 102, 10 (2002), 1428-1432. (Pubitemid 40445677)
5. Dinkins, J. Beliefs and attitudes of americans towards their diet. US Department of Agriculture Center for Nutrition Policy and Promotion (2000).
6. Goris, A., Westerterp-Plantenga, M., and Westerterp, K. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. The American journal of clinical nutrition, 71, 1 (2000), 130.
7. Kitamura, K., de Silva, C., Yamasaki, T., and Aizawa, K. Image processing based approach to food balance analysis for personal food logging. In IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2010, 625-630.
8. Kittur, A., Smus, B., and Kraut, R. CrowdForge: Crowdsourcing Complex Work. Technical Report CMU-HCII-11-100, CMU (2011).
9. Little, G., Chilton, L., Goldman, M., and Miller, R. Turkit: human computation algorithms on mechanical turk. In Proc. UIST'10. ACM, 2010, 57-66.
10. Little, G., Chilton, L. B., Goldman, M., and Miller, R. C. Exploring iterative and parallel human computation processes. In Proc. ACM SIGKDD Workshop on Human Computation. ACM, New York, NY, USA, 2010, HCOMP '10, 68-76.
11. Locke, E. and Latham, G. Building a practically useful theory of goal setting and task motivation. American Psychologist, 57, 9 (2002), 705-717.
12. Mankoff, J., Hsieh, G., Hung, H. C., Lee, S., and Nitao, E. Using low-cost sensing to support nutritional awareness. In Proc. UbiComp '02. Springer-Verlag, London, UK, 2002, 371-376.
13. Mann, T., Tomiyama, A., Westling, E., Lew, A., Samuels, B., and Chatman, J. Medicare's search for effective obesity treatments: Diets are not the answer. American Psychologist, 62, 3 (2007), 220.
14. Marcus, A., Wu, E., Karger, D., Madden, S., and Miller, R. Crowdsourced databases: Query processing with people. In CIDR. 2011.
15. Martin, C., Anton, S., York-Crowe, E., Heilbronn, L., VanSkiver, C., Redman, L., Greenway, F., Ravussin, E., and Williamson, D. Empirical evaluation of the ability to learn a calorie counting system and estimate portion size and food intake. British Journal of Nutrition, 98, 02 (2007), 439-444. (Pubitemid 47091387)
16. Martin, C., Han, H., Coulon, S., Allen, H., Champagne, C., and Anton, S. A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. British Journal of Nutrition, 101, 03 (2009), 446-456.
17. Pikholz, C., Swinburn, B., and Metcalf, P. Under-reporting of energy intake in the 1997 national nutrition survey. The New Zealand Medical Journal, 117, 1202 (2004).
18. Reisner, R. and Thompson, D. The diet industry: A big fat lie. BuisinessWeek (2008).
19. Schoeller, D., Bandini, L., and Dietz, W. Inaccuracies in self-reported intake identified by comparison with the doubly labelled water method. Canadian journal of physiology and pharmacology, 68, 7 (1990), 941.
20. Surowiecki, J. The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. Doubleday, 2004.
21. Yon, B., Johnson, R., Harvey-Berino, J., Gold, B., and Howard, A. Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program. Journal of behavioral medicine, 30, 2 (2007), 165-175. (Pubitemid 46426943)