research-article

Understanding and Supporting Self-Tracking App Selection

Authors:

Jessica Schroeder,

Daniel A. EpsteinAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 4

Article No.: 166, Pages 1 - 25

https://doi.org/10.1145/3494980

Published: 30 December 2021 Publication History

Abstract

People often face barriers to selecting self-tracking tools that support their goals and needs, resulting in tools not meeting their expectations and ultimately abandonment. We therefore examine how people approach selecting self-tracking apps and investigate how technology can better support the process. Drawing on past literature on how people select and perceive the features of commercial and research tracking tools, we surface seven attributes people consider during selection, and design a low-fidelity prototype of an app store that highlights these attributes. We then conduct semi-structured interviews with 18 participants to further investigate what people consider during selection, how people select self-tracking apps, and how surfacing tracking-related attributes could better support selection. We find that people often prioritize features related to self-tracking during selection, such as approaches to collecting and reflecting on data, and trial apps to determine whether they would suit their needs. Our results also show potential for technology surfacing how apps support tracking to reduce barriers to selection. We discuss future opportunities for improving self-tracking app selection, such as ways to enhance existing self-tracking app distribution platforms to enable people to filter and search apps by desirable features.

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Index Terms

Understanding and Supporting Self-Tracking App Selection
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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PervasiveHealth '16: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare

Self-tracking applications for health management have become popular both in industry and in academia. Half of older adults in the U.S. track health indicators, but they rarely use technology for that purpose. We conduct a qualitative study to ...
Understanding self-reflection: how people reflect on personal data through visual data exploration
PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Rapid advancements in consumer technologies enable people to collect a wide range of personal data. With a proper means for people to ask questions and explore their data, longitudinal data feeds from multiple self-tracking tools pose great ...

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 5, Issue 4

Dec 2021

1307 pages

EISSN:2474-9567

DOI:10.1145/3508492

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Copyright © 2021 ACM.

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Publication History

Published: 30 December 2021

Published in IMWUT Volume 5, Issue 4

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Gemicioglu TViranda TZhao YYessenbayev OArora JWang JLopes PAdams AChoudhury T(2024)BreathePulse: Peripheral Guided Breathing via Implicit Airflow Cues for Information WorkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/37022118:4(1-33)Online publication date: 21-Nov-2024
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Kouaho WEpstein D(2024)Investigating Perspectives of and Experiences with Low Cost Commercial Fitness WearablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997408:4(1-22)Online publication date: 21-Nov-2024
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Lee JLee BChoi SSeo JChoe E(2024)Identify, Adapt, PersistProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595858:2(1-21)Online publication date: 15-May-2024
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Lu XPowell JAgapie EChen YEpstein D(2024)Examining the Social Aspects of Pregnancy Tracking ApplicationsProceedings of the ACM on Human-Computer Interaction10.1145/36373288:CSCW1(1-30)Online publication date: 26-Apr-2024
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Figueiredo MAnkrah EPowell JEpstein DChen Y(2024)Powered by AIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314147:4(1-24)Online publication date: 12-Jan-2024
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Ibrahim ZNurain NClawson J(2024)Tracking During Ramadan: Examining the Intersection of Menstrual and Religious Tracking Practices Among Muslim Women in the United StatesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642374(1-19)Online publication date: 11-May-2024
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Lee JLee KLee BChoi SSeo JChoe E(2023)Personal Health Data Tracking by Blind and Low-Vision People: Survey StudyJournal of Medical Internet Research10.2196/4391725(e43917)Online publication date: 4-May-2023
https://doi.org/10.2196/43917
Silva LAnkrah EHuai YEpstein D(2023)Exploring Opportunities for Multimodality and Multiple Devices in Food JournalingProceedings of the ACM on Human-Computer Interaction10.1145/36042567:MHCI(1-27)Online publication date: 13-Sep-2023
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Murnane EGlazko YCosta JYao RZhao GMoya PLanday J(2023)Narrative-Based Visual Feedback to Encourage Sustained Physical ActivityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35807867:1(1-36)Online publication date: 28-Mar-2023
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Jain GTeng YCho DXing YAziz MSmith B(2023)"I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual ImpairmentsProceedings of the ACM on Human-Computer Interaction10.1145/35794967:CSCW1(1-28)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579496
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