The Design of a Mobile Portion Size Estimation Interface for a Low Literacy Population

Overview

Journal Int Conf Pervasive Comput Technol Healthc

Date 2012 Aug 24

PMID 22914603

Citations 7

Authors

Beenish Chaudry

Kay Connelly

Katie A Siek

Janet L Welch

Affiliations

Soon will be listed here.

Abstract

Being aware of one's portion sizes is a key component of maintaining a healthy diet, however, it is difficult for individuals especially low literacy populations to estimate their consumption. Nutritional monitoring applications can help but most of them are designed for people with high literacy and numeracy skills. In this paper, we designed and evaluated six portion size estimation interfaces through a Wizard of Oz based experiment using low-fidelity prototypes with ten varying literacy individuals. The interfaces were designed based on the cognitive strategies adults use for reporting portion sizes in diet recall studies. Participants made correct estimates with interfaces designed for liquid and amorphous foods, but had difficulties with those designed for solid foods. Based on these findings, we provide recommendations for designing accurate and low literacy-accessible portion size estimating mobile interfaces.

Citing Articles

The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy Levels.

Chaudhry B, Siek K, Connelly K J Pers Med. 2024; 14(9).

PMID: 39338255 PMC: 11432908. DOI: 10.3390/jpm14091001.

Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study.

Sharma S, Barnett K, Maypole J, Mishuris R JMIR Form Res. 2022; 6(2):e29922.

PMID: 35147502 PMC: 8881782. DOI: 10.2196/29922.

Comparison of the Diet ID Platform to the Automated Self-administered 24-hour (ASA24) Dietary Assessment Tool for Assessment of Dietary Intake.

Turner-Mcgrievy G, Hutto B, Bernhart J, Wilson M J Am Nutr Assoc. 2021; 41(4):360-382.

PMID: 33705267 PMC: 8634522. DOI: 10.1080/07315724.2021.1887775.

Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals.

Fatehah A, Poh B, Nik Shanita S, Wong J Nutrients. 2018; 10(8).

PMID: 30060528 PMC: 6115988. DOI: 10.3390/nu10080984.

A Comparison of Food Portion Size Estimation by Older Adults, Young Adults and Nutritionists.

Timon C, Cooper S, Barker M, Astell A, Adlam T, Hwang F J Nutr Health Aging. 2018; 22(2):230-236.

PMID: 29380850 DOI: 10.1007/s12603-017-0937-9.

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