"Examining Menstrual Tracking to Inform the Design of Personal Informatics ..."

Daniel A. Epstein et al. (2017)

> Home

Details and statistics

DOI: 10.1145/3025453.3025635

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/chi/EpsteinLKASPFKM17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/chi/EpsteinLKASPFKM17
Daniel A. Epstein, Nicole B. Lee, Jennifer H. Kang, Elena Agapie, Jessica Schroeder, Laura R. Pina, James Fogarty, Julie A. Kientz, Sean Munson:
Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. CHI 2017: 6876-6888

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.