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Examining Menstrual Tracking to Inform the Design of Person..:
, In:
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
,
Epstein, Daniel A.
;
Lee, Nicole B.
;
Kang, Jennifer H.
... - p. 6876-6888 , 2017
Link:
https://dl.acm.org/doi/10.1145/3025453.3025635
RT T1
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
: T1
Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools
UL https://suche.suub.uni-bremen.de/peid=acm-3025635&Exemplar=1&LAN=DE A1 Epstein, Daniel A. A1 Lee, Nicole B. A1 Kang, Jennifer H. A1 Agapie, Elena A1 Schroeder, Jessica A1 Pina, Laura R. A1 Fogarty, James A1 Kientz, Julie A. A1 Munson, Sean PB ACM YR 2017 K1 inclusivity K1 lived informatics K1 menstrual cycle K1 menstrual tracking K1 period K1 personal informatics K1 women's health K1 Human-centered computing SP 6876 OP 6888 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3025453.3025635 DO https://dl.acm.org/doi/10.1145/3025453.3025635 SF ELIB - SuUB Bremen
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