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MAMAS: Supporting Parent--Child Mealtime Interactions Using Automated Tracking and Speech Recognition

Published: 29 May 2020 Publication History

Abstract

Many parents of young children find it challenging to deal with their children's eating problems, and parent--child mealtime interaction is fundamental in forming children's healthy eating habits. In this paper, we present the results of a three-week study through which we deployed a mealtime assistant application, MAMAS, for monitoring parent--child mealtime conversation and food intake with 15 parent--child pairs. Our findings indicate that the use of MAMAS helped 1) increase children's autonomy during mealtime, 2) enhance parents' self-awareness of their words and behaviors, 3) promote the parent--child relationship, and 4) positively influence the mealtime experiences of the entire family. The study also revealed some challenges in eating behavior interventions due to the complex dynamics of childhood eating problems. Based on the findings, we discuss how a mealtime assistant application can be better designed for parents and children with challenging eating behaviors.

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  1. MAMAS: Supporting Parent--Child Mealtime Interactions Using Automated Tracking and Speech Recognition

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 4, Issue CSCW1
    CSCW
    May 2020
    1285 pages
    EISSN:2573-0142
    DOI:10.1145/3403424
    Issue’s Table of Contents
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    Publication History

    Published: 29 May 2020
    Published in PACMHCI Volume 4, Issue CSCW1

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    Author Tags

    1. children
    2. eating behavior
    3. family mealtime
    4. magnetometer
    5. parent--child interaction
    6. semi-automated tracking
    7. speech recognition

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    • Ministry of Health & Welfare, Republic of Korea
    • Ministry of Science and ICT, Republic of Korea

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