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...
Saved in:
| Published in | Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems Vol. 2017; p. 6876 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
United States
02.05.2017
|
| Subjects | |
| Online Access | Get full text |
| DOI | 10.1145/3025453.3025635 |
Cover
| Abstract | 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. |
|---|---|
| AbstractList | 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. |
| Author | Epstein, Daniel A Munson, Sean A Pina, Laura R Fogarty, James Kang, Jennifer H Agapie, Elena Schroeder, Jessica Kientz, Julie A Lee, Nicole B |
| Author_xml | – sequence: 1 givenname: Daniel A surname: Epstein fullname: Epstein, Daniel A organization: DUB Group, University of Washington – sequence: 2 givenname: Nicole B surname: Lee fullname: Lee, Nicole B organization: DUB Group, University of Washington – sequence: 3 givenname: Jennifer H surname: Kang fullname: Kang, Jennifer H organization: DUB Group, University of Washington – sequence: 4 givenname: Elena surname: Agapie fullname: Agapie, Elena organization: DUB Group, University of Washington – sequence: 5 givenname: Jessica surname: Schroeder fullname: Schroeder, Jessica organization: DUB Group, University of Washington – sequence: 6 givenname: Laura R surname: Pina fullname: Pina, Laura R organization: DUB Group, University of Washington – sequence: 7 givenname: James surname: Fogarty fullname: Fogarty, James organization: DUB Group, University of Washington – sequence: 8 givenname: Julie A surname: Kientz fullname: Kientz, Julie A organization: DUB Group, University of Washington – sequence: 9 givenname: Sean A surname: Munson fullname: Munson, Sean A organization: DUB Group, University of Washington |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28516176$$D View this record in MEDLINE/PubMed |
| BookMark | eNo9kMtOwzAQRb0A8WhZs0P-gRQ_YiddolKgUlG7COtoHDslIrEjOxH070mUwGauNHPvaM7cogvrrEHonpIVpbF45ISJWPDVqJKLK3TNUkElTeQNOmx_oKlsZU_43djQ-R5qnHkovsZW5_DOls43uPs0-NmE6mSxK_HR-ODs4Jym0FVFwJlzdViiyxLqYO5mXaCPl222eYv2h9fd5mkfAU_WXaQoZ4JzFgNnJC0JlawwWhOp1pqqQnEoGcRSQ0ITNRwqh0LiRAqpGGiS8gUi097etnD-hrrOW1814M85JfmInc_Y-Yw9RB6mSNurxuh__98z-C9JL1mC |
| ContentType | Journal Article Conference Proceeding |
| DBID | NPM ADTOC UNPAY |
| DOI | 10.1145/3025453.3025635 |
| DatabaseName | PubMed Unpaywall for CDI: Periodical Content Unpaywall |
| DatabaseTitle | PubMed |
| DatabaseTitleList | PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| ExternalDocumentID | 10.1145/3025453.3025635 28516176 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: AHRQ HHS grantid: R21 HS023654 |
| GroupedDBID | NPM ADTOC UNPAY |
| ID | FETCH-LOGICAL-a379t-b13253324a3208f0162cedd06b9d1bcb3af2a46da717b1766b17047656b2ad083 |
| IEDL.DBID | UNPAY |
| IngestDate | Wed Oct 29 12:03:28 EDT 2025 Thu Jan 02 22:42:37 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | false |
| Keywords | personal informatics inclusivity period Menstrual tracking menstrual cycle women's health lived informatics |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-a379t-b13253324a3208f0162cedd06b9d1bcb3af2a46da717b1766b17047656b2ad083 |
| OpenAccessLink | https://proxy.k.utb.cz/login?url=http://dl.acm.org/ft_gateway.cfm?id=3025635&type=pdf |
| PMID | 28516176 |
| ParticipantIDs | unpaywall_primary_10_1145_3025453_3025635 pubmed_primary_28516176 |
| PublicationCentury | 2000 |
| PublicationDate | 2017-05-02 |
| PublicationDateYYYYMMDD | 2017-05-02 |
| PublicationDate_xml | – month: 05 year: 2017 text: 2017-05-02 day: 02 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems |
| PublicationTitleAlternate | Proc SIGCHI Conf Hum Factor Comput Syst |
| PublicationYear | 2017 |
| Score | 2.173058 |
| Snippet | We consider why and how women track their menstrual cycles, examining their experiences to uncover design opportunities and extend the field's understanding of... |
| SourceID | unpaywall pubmed |
| SourceType | Open Access Repository Index Database |
| StartPage | 6876 |
| Title | Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/28516176 http://dl.acm.org/ft_gateway.cfm?id=3025635&type=pdf |
| UnpaywallVersion | publishedVersion |
| Volume | 2017 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwGA1uO-hJxanzx8hBBA-dbZO26VF0YwibPawwTyVJ04tdO1iHP_56v7TZHHjaJZekIXwpvPcl33tB6E4qRlMZKiuTDBIUgFCLK2JbnsyY4oQFma_1zpOpP47p69yb74jCcphmUd_gQ6w3J0wyW-j7UqLxmXj3tZ3QMs1aqON7wMDbqBNPo6d349zjUO9RD6UeGZhPduDlcF0s-fcnz_MdHBkdo3ijxmnKRz4G60oM5M9_c8a9lniCun_KPRxtMekUHajiDL0Nv_iifggCT1TtGMtzDCAl9TE5rkrcaJIwcEH8Uld04DLDkaHpplc7u67wrCzzVRfFo-HseWyZhxQsToKwsgSknEDrXMqJa7MMWJ4rVZravghTR0hBeOZy6qcccjuhHSOhsWkAVE-4PAWSdo7aRVmoS4Q9RSFjUYHwuaQOE6HDJWGKMZgEqK_dQxdNpJNl45aRuMDpgCb5PfSwDf22s5FFe4nZr8TE72qPsdfoyNVQq4sQ3RvUhiCqWyAKleij1jSa9M3f8QvXTr7m |
| linkProvider | Unpaywall |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwGA26HfSk4tT5ixxE8NDZNkmbHkU3hrC5wwrzVJI0udi1g3X446_3S9vNgaddckkawpfCe1_yvReE7pTmNFWRdozikKAAhDpCE9dhynAtCA9NYPXOo3EwjOnrjM22RGEZTDOvbvAh1usTJmXm9r6UWHwm7L6yE1qkZh-1AwYMvIXa8Xjy9N4493iUPdqhlJFe88kWvBys8oX4_hRZtoUjgyMUr9U4dfnIR29Vyp76-W_OuNMSj1HnT7mHJxtMOkF7Oj9Fb_0vMa8egsAjXTnGigwDSCl7TI7LAteaJAxcEL9UFR24MHjS0PSm1zq7LvG0KLJlB8WD_vR56DQPKTiChFHpSEg5gdb5VBDf5QZYnq90mrqBjFJPKkmE8QUNUgG5nbSOkdC4NASqJ32RAkk7Q628yPUFwkxTyFh0KAOhqMdl5AlFuOYcJgHq63bReR3pZFG7ZSQ-cDqgSUEXPWxCv-msZdEsafYraeJ3ucPYK3ToW6i1RYj-NWpBEPUNEIVS3jb_xS9jH73a |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Proceedings+of+the+2017+CHI+Conference+on+Human+Factors+in+Computing+Systems&rft.atitle=Examining+Menstrual+Tracking+to+Inform+the+Design+of+Personal+Informatics+Tools&rft.date=2017-05-02&rft_id=info:doi/10.1145%2F3025453.3025635&rft.externalDocID=10.1145%2F3025453.3025635 |