Sprout: Using a Visual Metaphor to Support Customizable and Collaborative Health Tracking

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Authors: Pape Sow Traoré, Shirin Amouei, Mira Ram, Elizabeth L. Murnane
Cited by: 1
References: 56

Abstract

Self-tracking tools can support health awareness and behavior change, though sustaining engagement remains difficult. Prior work has explored qualitative visualization, customization, and collaborative features to promote engagement; but little is known about how these strategies interact when combined. We present Sprout, a mobile application that integrates qualitative, customizable, and collaborative health tracking using a garden metaphor. Sprout allows users to choose what they track, customize how data is visually encoded, and participate in anonymous communities where collective progress unlocks shared features. In a 2-week field study with N=22 participants, users reported that qualitative displays worked best as a complement to quantitative tools, customization mostly happened during app setup, social features were the most engaging though collaboration produced both motivation and frustration, and anonymity protected privacy but limited social connection. Our findings show how multiple design strategies coexist in one system, sometimes competing and sometimes aligning in supporting users’ tracking needs.

Fields of Study & Subjects

Innovative Human-Technology Interaction Data Visualization and Analytics Digital Mental Health Interventions

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–12
Publication date
13 April 2026