This paper is in the following e-collection/theme issue:

Usability Evaluation Case Studies (196) Research Instruments, Questionnaires, and Tools (589) Instruments and Questionnaires for Nutrition and Food Intake (169) Connected Health Symposium 2016 (9)

Published on in Vol 4, No 2 (2017): Apr-Jun

A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics

A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics

A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics

Authors of this article:

Rodrigo Zenun Franco1 Author Orcid Image ;   Balqees Alawadhi2 Author Orcid Image ;   Rosalind Fallaize2 Author Orcid Image ;   Julie A Lovegrove2 Author Orcid Image ;   Faustina Hwang1 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

Journals

  1. Zenun Franco R, Fallaize R, Lovegrove J, Hwang F, de Souza R. Online dietary intake assessment using a graphical food frequency app (eNutri): Usability metrics from the EatWellUK study. PLOS ONE 2018;13(8):e0202006 View
  2. Franco R, Fallaize R, Hwang F, Lovegrove J. Strategies for online personalised nutrition advice employed in the development of the eNutri web app. Proceedings of the Nutrition Society 2019;78(3):407 View
  3. Al-Awadhi B, Fallaize R, Franco R, Hwang F, Lovegrove J. Validity of the EatWellQ8 online food frequency questionnaire against a 4-day weighed food record. Proceedings of the Nutrition Society 2019;78(OCE1) View
  4. Ani N, Noprisson H, Ali N. Measuring usability and purchase intention for online travel booking: A case study. International Review of Applied Sciences and Engineering 2019;10(2):165 View
  5. Ani N. A Preliminary Study : User Interface Design of Online Travel Booking Application. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2019:261 View
  6. Allan C, Abdul Kader U, Ang J, Muhardi L, Nambiar S. Relative validity of a semi-quantitative food frequency questionnaire for Singaporean toddlers aged 15–36 months. BMC Nutrition 2018;4(1) View
  7. Alawadhi B, Fallaize R, Franco R, Hwang F, Lovegrove J. Web-Based Dietary Intake Estimation to Assess the Reproducibility and Relative Validity of the EatWellQ8 Food Frequency Questionnaire: Validation Study. JMIR Formative Research 2021;5(3):e13591 View
  8. Singh A, Wall C, Levine A, Midha V, Mahajan R, Sood A. Nutritional screening and assessment in inflammatory bowel disease. Indian Journal of Gastroenterology 2022;41(1):5 View
  9. Al-Jallad N, Ly-Mapes O, Hao P, Ruan J, Ramesh A, Luo J, Wu T, Dye T, Rashwan N, Ren J, Jang H, Mendez L, Alomeir N, Bullock S, Fiscella K, Xiao J, Chua Chin Heng M. Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test. PLOS Digital Health 2022;1(6):e0000046 View
  10. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497 View

Books/Policy Documents

  1. Doe M, Dhanabagiyam S, Irfan M. Trends in Business Process Modeling and Digital Marketing: Case Studies and Emerging Technologies. View