research-article

A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps

Authors:

Anjali Devakumar,

Eric P. S. Baumer,

Munmun De ChoudhuryAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 547, Pages 1 - 19

https://doi.org/10.1145/3411764.3445670

Published: 07 May 2021 Publication History

Abstract

Eating disorders (EDs) constitute a mental illness with the highest mortality. Today, mobile health apps provide promising means to ED patients for managing their condition. Apps enable users to monitor their eating habits, thoughts, and feelings, and offer analytic insights for behavior change. However, not only have scholars critiqued the clinical validity of these apps, their underlying design principles are not well understood. Through a review of 34 ED apps, we uncovered 11 different data types ED apps collect, and 9 strategies they employ to support collection and reflection. Drawing upon personal health informatics and visualization frameworks, we found that most apps did not adhere to best practices on what and how data should be collected from and reflected to users, or how data-driven insights should be communicated. Our review offers suggestions for improving the design of ED apps such that they can be useful and meaningful in ED recovery.

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Guluzade LSas C(2024)Functionality and User Review Analysis of Mobile Apps for Mindfulness Eating and Eating DisordersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661521(1350-1371)Online publication date: 1-Jul-2024
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Sobey A(2024)Conceptualising Fatness within HCI: A Call for Fat LiberationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642199(1-14)Online publication date: 11-May-2024
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Index Terms

A Review on Strategies for Data Collection, Reflection, and Communication in Eating Disorder Apps
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health care information systems
2. Human-centered computing

Index terms have been assigned to the content through auto-classification.

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CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

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ISBN:9781450380966

DOI:10.1145/3411764

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Cited By

Guluzade LSas C(2024)Functionality and User Review Analysis of Mobile Apps for Mindfulness Eating and Eating DisordersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661521(1350-1371)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661521
Sobey A(2024)Conceptualising Fatness within HCI: A Call for Fat LiberationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642199(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642199
Choi RPark SHan SLee S(2024)FoodCensor: Promoting Mindful Digital Food Content Consumption for People with Eating DisordersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641984(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641984
Mustač FGalijašević TMatovinović MMarčinko D(2023)Smartphone app based psychological interventions for patients with eating disorders2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech58164.2023.10193373(1-4)Online publication date: 20-Jun-2023
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Nakikj DKreda DGehlenborg N(2023)Alerts and Collections for Automating Patients’ Sensemaking and Organizing of Their Electronic Health Record Data for Reflection, Planning, and Clinical Visits: Qualitative Research-Through-Design StudyJMIR Human Factors10.2196/4155210(e41552)Online publication date: 21-Aug-2023
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Chow KFritz THolsti LBarbic SMcGrenere J(2023)Feeling Stressed and Unproductive? A Field Evaluation of a Therapy-Inspired Digital Intervention for Knowledge WorkersACM Transactions on Computer-Human Interaction10.1145/360933031:1(1-33)Online publication date: 29-Nov-2023
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Lepe-Salazar FSalgado-Torres S(2023)Multiple Composite Scenarios: A Game-Based Methodology for the Prevention of Mental DisordersEntertainment Computing10.1016/j.entcom.2022.10051944(100519)Online publication date: Jan-2023
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Fey MPeperkorn NBorchert TMeyer MRaacke JShiban Y(2023)Computer-Assisted Avatar-Based Treatment for Dysfunctional Beliefs and Eating-Disorder Symptomatology: A Randomized Control Pilot StudyInternational Journal of Cognitive Therapy10.1007/s41811-023-00186-w17:2(251-278)Online publication date: 29-Sep-2023
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Jarman HMcLean SRodgers RFuller-Tyszkiewicz MPaxton SO'Gorman BHarris EShatte ABishop KBaumann TMahoney DDaugelat MYager Z(2022)Informing mHealth and Web-Based Eating Disorder Interventions: Combining Lived Experience Perspectives With Design Thinking ApproachesJMIR Formative Research10.2196/383876:10(e38387)Online publication date: 31-Oct-2022
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