5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

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

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246113,
        author={Beenish Chaudry and Kay Connelly and Katie Siek and Janet Welch},
        title={The Design of a Mobile Portion Size Estimation Interface for a Low Literacy Population},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={low fidelity prototype portion estimation aid mobile application low literacy low numeracy interface design},
        doi={10.4108/icst.pervasivehealth.2011.246113}
    }
    
  • Beenish Chaudry
    Kay Connelly
    Katie Siek
    Janet Welch
    Year: 2012
    The Design of a Mobile Portion Size Estimation Interface for a Low Literacy Population
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.246113
Beenish Chaudry1, Kay Connelly1, Katie Siek2,*, Janet Welch3
  • 1: Indiana University
  • 2: University of Colorado at Boulder
  • 3: Indiana University-Purdue University Indianapolis
*Contact email: ksiek@cs.colorado.edu

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.