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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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User Requirements in Developing a Novel Dietary Assessment Tool for Children: Mixed Methods Study.

Zoë van der Heijden1, Femke de Gooijer1, Guido Camps1

  • 1Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands.

JMIR Formative Research
|February 1, 2024
PubMed
Summary

Children aged 5-6 can assist in collecting dietary data, improving accuracy for personalized nutrition. Future tools should incorporate child-friendly design, prompts, and autonomy to enhance usability and engagement.

Keywords:
childrendietdietary assessmentmHealthmobile healthmobile phonerecalltechnological innovation

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Area of Science:

  • Pediatric Nutrition
  • Human-Computer Interaction
  • Behavioral Science

Background:

  • Childhood obesity and its comorbidities are increasing, necessitating effective dietary interventions.
  • Current dietary interventions show unsatisfactory long-term effects, driving demand for personalized approaches.
  • Accurate dietary intake data is crucial for personalized nutrition, with children potentially aiding data collection.

Purpose of the Study:

  • To identify user requirements for a dietary assessment tool tailored for children aged 5 to 6 years.
  • To explore a child-centered, exploratory sequential mixed-methods approach for tool development.

Main Methods:

  • Literature research informed initial user requirements and prototype ideation.
  • Three prototypes (FoodBear, myBear, FoodCam) were developed and tested with 14 children (aged 5-6).
  • Usability and user experience were assessed via video analysis and the 'This or That' method.

Main Results:

  • Most children completed usability tasks, but all required assistance, highlighting usability challenges.
  • Identified issues included food categorization, prototype functionality, product recall, and distinguishing eating occasions.
  • Product preference was similar across prototypes, but liking was influenced by autonomy, challenge, gaming, tablet-based design, appearance, social elements, and time.

Conclusions:

  • Children can complement parental data collection for more accurate dietary assessments.
  • Future tools require training, prompts, feedback, intuitive design, child-friendly visuals, and autonomy.
  • Findings guide innovations in children's dietary assessment and personalized nutrition support.