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Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools
We consider why and how women track their menstrual cycles, examining their experiences to uncover design opportunities and extend the field's understanding of personal informatics tools. To understand menstrual cycle tracking practices, we collected and analyzed data from three sources: 2,000...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432133/ https://www.ncbi.nlm.nih.gov/pubmed/28516176 http://dx.doi.org/10.1145/3025453.3025635 |
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author | Epstein, Daniel A. Lee, Nicole B. Kang, Jennifer H. Agapie, Elena Schroeder, Jessica Pina, Laura R. Fogarty, James Kientz, Julie A. Munson, Sean A. |
author_facet | Epstein, Daniel A. Lee, Nicole B. Kang, Jennifer H. Agapie, Elena Schroeder, Jessica Pina, Laura R. Fogarty, James Kientz, Julie A. Munson, Sean A. |
author_sort | Epstein, Daniel A. |
collection | PubMed |
description | We consider why and how women track their menstrual cycles, examining their experiences to uncover design opportunities and extend the field's understanding of personal informatics tools. To understand menstrual cycle tracking practices, we collected and analyzed data from three sources: 2,000 reviews of popular menstrual tracking apps, a survey of 687 people, and follow-up interviews with 12 survey respondents. We find that women track their menstrual cycle for varied reasons that include remembering and predicting their period as well as informing conversations with healthcare providers. Participants described six methods of tracking their menstrual cycles, including use of technology, awareness of their premenstrual physiological states, and simply remembering. Although women find apps and calendars helpful, these methods are ineffective when predictions of future menstrual cycles are inaccurate. Designs can create feelings of exclusion for gender and sexual minorities. Existing apps also generally fail to consider life stages that women experience, including young adulthood, pregnancy, and menopause. Our findings encourage expanding the field's conceptions of personal informatics. |
format | Online Article Text |
id | pubmed-5432133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-54321332017-05-15 Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools Epstein, Daniel A. Lee, Nicole B. Kang, Jennifer H. Agapie, Elena Schroeder, Jessica Pina, Laura R. Fogarty, James Kientz, Julie A. Munson, Sean A. Proc SIGCHI Conf Hum Factor Comput Syst Article We consider why and how women track their menstrual cycles, examining their experiences to uncover design opportunities and extend the field's understanding of personal informatics tools. To understand menstrual cycle tracking practices, we collected and analyzed data from three sources: 2,000 reviews of popular menstrual tracking apps, a survey of 687 people, and follow-up interviews with 12 survey respondents. We find that women track their menstrual cycle for varied reasons that include remembering and predicting their period as well as informing conversations with healthcare providers. Participants described six methods of tracking their menstrual cycles, including use of technology, awareness of their premenstrual physiological states, and simply remembering. Although women find apps and calendars helpful, these methods are ineffective when predictions of future menstrual cycles are inaccurate. Designs can create feelings of exclusion for gender and sexual minorities. Existing apps also generally fail to consider life stages that women experience, including young adulthood, pregnancy, and menopause. Our findings encourage expanding the field's conceptions of personal informatics. 2017-05-02 /pmc/articles/PMC5432133/ /pubmed/28516176 http://dx.doi.org/10.1145/3025453.3025635 Text en http://creativecommons.org/licenses/by/2.0/ Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org |
spellingShingle | Article Epstein, Daniel A. Lee, Nicole B. Kang, Jennifer H. Agapie, Elena Schroeder, Jessica Pina, Laura R. Fogarty, James Kientz, Julie A. Munson, Sean A. Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title_full | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title_fullStr | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title_full_unstemmed | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title_short | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
title_sort | examining menstrual tracking to inform the design of personal informatics tools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432133/ https://www.ncbi.nlm.nih.gov/pubmed/28516176 http://dx.doi.org/10.1145/3025453.3025635 |
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