• DocumentCode
    1609952
  • Title

    The design of a mobile portion size estimation interface for a low literacy population

  • Author

    Chaudry, Beenish ; Connelly, Kay ; Siek, Katie A. ; Welch, Janet L.

  • Author_Institution
    Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA
  • fYear
    2011
  • Firstpage
    160
  • Lastpage
    167
  • 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.
  • Keywords
    cognition; medical computing; mobile computing; Wizard of Oz based experiment; cognitive strategies; low literacy population; mobile portion size estimation interface; nutritional monitoring applications; Atmospheric measurements; Containers; Estimation; Liquids; Particle measurements; Shape; Solids; interface design; low fidelity prototype; low literacy; low numeracy; mobile application; portion estimation aid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-61284-767-2
  • Type

    conf

  • Filename
    6038783