research-article

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Examining the Social Aspects of Pregnancy Tracking Applications

Authors:

Jacquelyn E. Powell,

Daniel A. EpsteinAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1

Article No.: 51, Pages 1 - 30

https://doi.org/10.1145/3637328

Published: 26 April 2024 Publication History

Abstract

Pregnancy is a significant but stressful life transition, requiring effort from multiple stakeholders including expectant parents, family members, and friends to navigate. Existing work has primarily focused on understanding and supporting the technology use of pregnant people, neglecting other stakeholders' needs and participation. We therefore consider how pregnancy tracking apps both improve and interfere with the reconfiguration of social relationships caused by pregnancy, drawing on insights from family sociology to examine how these relationships evolve over pregnancy and the transition to parenthood. We reviewed the features of 20 pregnancy tracking apps, and analyzed 4,709 public reviews of them, finding that stakeholders used apps to bond with one another around the excitement of pregnancy, build a prenatal relationship with the fetus, and co-manage pregnancy-related logistical tasks. We find that not accounting for fetal demographics and users' identities, along with socio-cultural norms around gender and parenting roles, often inhibit these collaborative practices. We therefore suggest designing collaborative pregnancy tracking technology that considers both inclusiveness and specificity regarding stakeholders' different roles and relationships to pregnancy.

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Cited By

Oyibo K(2025)The influence of user knowledge and usage behaviour on decision-making and perceived reputation of streaming sites that use dark patternsBehaviour & Information Technology10.1080/0144929X.2024.2447475(1-20)Online publication date: 2-Feb-2025
https://doi.org/10.1080/0144929X.2024.2447475
Lu XPowell JAgapie EChen YEpstein D(2024)Unpacking the Lived Experience of Collaborative Pregnancy TrackingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642652(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642652

Index Terms

Examining the Social Aspects of Pregnancy Tracking Applications
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 8, Issue CSCW1

CSCW

April 2024

6294 pages

EISSN:2573-0142

DOI:10.1145/3661497

Editor:
Jeff Nichols
Apple Inc., United States

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Copyright © 2024 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

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Published: 26 April 2024

Published in PACMHCI Volume 8, Issue CSCW1

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Cited By

Oyibo K(2025)The influence of user knowledge and usage behaviour on decision-making and perceived reputation of streaming sites that use dark patternsBehaviour & Information Technology10.1080/0144929X.2024.2447475(1-20)Online publication date: 2-Feb-2025
https://doi.org/10.1080/0144929X.2024.2447475
Lu XPowell JAgapie EChen YEpstein D(2024)Unpacking the Lived Experience of Collaborative Pregnancy TrackingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642652(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642652

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