Importance of user interaction with automated dietary assessment methods

European Journal of Clinical Nutrition

Volumn 66, Issue 5, 2012, Pages 648-

  Boushey, C J ^a   Kerr, D A ^b   Schap, T E ^c   Daugherty, B L ^c  

^a UNIVERSITY OF HAWAII CANCER CENTER   (United States)

^b CURTIN UNIVERSITY   (Australia)

^c PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTIC METHOD; ANALYTICAL ERROR; AUTOMATED DIETARY ASSESSMENT METHOD; AUTOMATION; BEVERAGE; COMPUTER INTERFACE; COMPUTER SYSTEM; DATA BASE; FOOD ANALYSIS; FOOD COMPOSITION; FOOD INTAKE; IMAGE PROCESSING; INTERNET; LETTER;

DATA COLLECTION; DIET; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE;

EID: 84860611298     PISSN: 09543007     EISSN: 14765640     Source Type: Journal    
DOI: 10.1038/ejcn.2012.14     Document Type: Letter

References (4)

1. Arab L, Estrin D, Kim DH, Burke J, Goldman J. Feasibility test of an automated image-capture method to aid dietary recall. Eur J Clin Nutr 2011; 65, 1156-1162.
2. Schap TE, Six BL, Delp EJ, Ebert DS, Kerr DA, Boushey CJ. Adolescents in the United States can identify familiar foods at the time of consumption and when prompted with an image 14 h postprandial, but poorly estimate portions. Public Health Nutr 2011; 14, 1184-1191.
3. Boushey CJ, Kerr DA, Wright J, Lutes KD, Ebert DS, Delp EJ. Use of technology in children's dietary assessment. Eur J Clin Nutr 2009; 63, S50-S57.
4. Six B.L. Schap T.E. Zhu F.M. Mariappan A. Bosch M. Delp E.J. et al. Evidence-based development of a mobile telephone food record J. Am. Diet. Assoc. 2010 110 74-79.