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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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Pictogram-based method of visualizing dietary intake.

Y Liu, S Chiu, Y Lin

  • 1Wen-Ko Chiou, Chang Gung University, Graduate Institute of Business and Management, 259 Wen-Hwa 1st Rd., 333 Tao-Yuan, Taiwan,

Methods of Information in Medicine
|October 11, 2014
PubMed
Summary

Pictograms effectively convey dietary intake information. A web-based tool using pictograms showed high accuracy in portion size estimation, outperforming traditional dietitian education for certain food types.

Keywords:
Pictogram-based methoddietary intakefood portionvisualization

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Area of Science:

  • Nutrition Informatics
  • Human-Computer Interaction
  • Dietary Assessment

Background:

  • Pictograms are effective information-conveying tools.
  • Clear pictorial representations are crucial for communicating dietary intake in the digital age.

Purpose of the Study:

  • To develop and evaluate a novel web-based tool that converts textual dietary intake descriptions into pictograms.
  • To assess the effectiveness of these pictograms in conveying intended messages and aiding in portion size estimation.

Main Methods:

  • Evaluated pictogram comprehension using accuracy rates and response times across different image types (black-and-white sketch, colored sketch, color photograph).
  • Assessed the tool's ability to help users select standard food portion sizes, comparing it against dietitian-led education.
  • Utilized various food representations (apple, pork strip, bowl) to test size estimation accuracy.

Main Results:

  • Most pictograms (27/29) demonstrated high comprehension (accuracy >85%), while two black-and-white pictograms had low accuracy (<50%).
  • The web-based tool significantly improved apple portion size selection accuracy compared to dietitian education (p < 0.0001).
  • No significant difference in estimating bowl and pork strip sizes between the tool and dietitian education was observed.

Conclusions:

  • Pictograms can serve as valuable computational visual aids for understanding and identifying dietary intake.
  • Further research is needed to explore pictogram effectiveness in recall, measurement, and estimation, and for clinical practice evaluation.