Users' Perspectives on Multimodal Menstrual Tracking Using Consumer Health Devices
Authors: 
Georgianna Lin, Brenna Li, Jin Yi Li, Chloe Zhao, 
Khai Truong, 
Alexander MariakakisAuthors Info & Claims
Georgianna Lin, Brenna Li, Jin Yi Li, Chloe Zhao, Khai Truong, Alexander MariakakisAuthors Info & ClaimsArticle No.: 116, Pages 1 - 24
Abstract
Previous menstrual health literature highlights a variety of signals not included in existing menstrual trackers because they are either difficult to gather or are not typically associated with menstrual health. Since it has become increasingly convenient to collect biomarkers through wearables and other consumer-grade devices, our work examines how people incorporate unconventional signals (e.g., blood glucose levels, heart rate) into their understanding of menstrual health. In this paper, we describe a three-month-long study on fifty participants' experiences as they tracked their health using physiological sensors and daily diaries. We analyzed their experiences with both conventional and unconventional menstrual health signals through surveys and interviews conducted throughout the study. We delve into the various aspects of menstrual health that participants sought to affirm using unconventional signals, explore how these signals influenced their daily behaviors, and examine how multimodal menstrual tracking expanded their scope of menstrual health. Finally, we provide design recommendations for future multimodal menstrual trackers.
References
[1]
Julie A Aganoff and Gregory J Boyle. 1994. Aerobic exercise, mood states and menstrual cycle symptoms. Journal of psychosomatic research 38, 3 (1994), 183--192.
[2]
Teresa Almeida, Rob Comber, and Madeline Balaam. 2016. HCI and Intimate Care as an Agenda for Change in Women's Health. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 2599--2611.
[3]
Teresa Almeida, Rob Comber, Gavin Wood, Dean Saraf, and Madeline Balaam. 2016. On looking at the vagina through Labella. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 1810--1821.
[4]
Muhammad Bilal Amin, Oresti Banos, Wajahat Ali Khan, Hafiz Syed Muhammad Bilal, Jinhyuk Gong, Dinh-Mao Bui, Soung Ho Cho, Shujaat Hussain, Taqdir Ali, Usman Akhtar, Tae Choong Chung, and Sungyoung Lee. 2016. On Curating Multimodal Sensory Data for Health and Wellness Platforms. Sensors 16, 7 (2016). https://doi.org/10.3390/s16070980
[5]
Swamy Ananthanarayan and Katie Siek. 2012. Persuasive Wearable Technology Design for Health and Wellness. 2012 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2012 (01 2012), 236--240. https://doi.org/10.4108/icst.pervasivehealth.2012.248694
[6]
Karan Babbar, Jennifer Martin, Joesphine Ruiz, Ateeb Ahmad Parray, and Sommer Marni. 2022. Menstrual health is a public health and human rights issue. The Lancet Public Health 7, 1 (2022). https://doi.org/10.1016/S2468-2667(21)00212-7
[7]
Fiona C. Baker, Felicia Siboza, and Andrea Fuller. 2020. Temperature regulation in women: Effects of the menstrual cycle. Temperature 7, 3 (2020), 226--262. https://doi.org/10.1080/23328940.2020.1735927
[8]
Madeline Balaam, Rob Comber, Ed Jenkins, Selina Sutton, and Andrew Garbett. 2015. FeedFinder: a location-mapping mobile application for breastfeeding women. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. 1709--1718.
[9]
Oresti Banos, Claudia Villalonga, Jaehun Bang, Taeho Hur, Donguk Kang, Sangbeom Park, Thien Huynh-The, Vui Le-Ba, Muhammad Bilal Amin, Muhammad Asif Razzaq, Wahajat Ali Khan, Choong Seon Hong, and Sungyoung Lee. 2016. Human Behavior Analysis by Means of Multimodal Context Mining. Sensors 16, 8 (2016). https://doi.org/10.3390/s16081264
[10]
Jeffrey Bardzell, Shaowen Bardzell, Amanda Lazar, and Norman Makoto Su. 2019. (Re-) Framing Menopause Experiences for HCI and Design. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--13.
[11]
Shaowen Bardzell. 2010. Feminist HCI: taking stock and outlining an agenda for design. In Proceedings of the SIGCHI conference on human factors in computing systems. 1301--1310.
[12]
Frank Bentley, Konrad Tollmar, Peter Stephenson, Laura Levy, Brian Jones, Scott Robertson, Ed Price, Richard Catrambone, and Jeff Wilson. 2013. Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change. ACM Trans. Comput.-Hum. Interact. 20, 5, Article 30 (nov 2013), 27 pages. https://doi.org/10.1145/2503823
[13]
Shlomo Berkovsky, Jill Freyne, and Harri Oinas-Kukkonen. 2012. Influencing Individually: Fusing Personalization and Persuasion. ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (06 2012). https://doi.org/10.1145/2209310.2209312
[14]
Ida Emilie Brantelid, Helena Nilvér, and Siw Alehagen. 2014. Menstruation during a lifespan: a qualitative study of women's experiences. Health care for women international 35, 6 (2014), 600--616.
[15]
Tejinder Kaur Brar, K.D. Singh, and Avnish Kumar. 2015. Effect of different phases of menstrual cycle on heart rate variability (HRV). Journal of Clinical and Diagnostic Research (2015). https://doi.org/10.7860/jcdr/2015/13795.6592
[16]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.
[17]
Haywood L Brown, Maria J Small, Camille A Clare, and Washington Hill. 2020. Black women health inequity the origin of perinatal health disparity. Journal of the National Medical Association (2020).
[18]
Thanh Cong Bui, Christine M Markham, Michael W Ross, Mark L Williams, R Palmer Beasley, Ly TH Tran, Huong TH Nguyen, and Thach Ngoc Le. 2012. Dimensions of gender relations and reproductive health inequity perceived by female undergraduate students in the Mekong Delta of Vietnam: a qualitative exploration. International Journal for Equity in Health 11, 1 (2012), 1--11.
[19]
Nadia Campo Woytuk, Marie Louise Juul Søndergaard, Marianela Ciolfi Felice, and Madeline Balaam. 2020. Touching and being in touch with the menstruating body. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--14.
[20]
Rasheeta Chandler, Dominique Guillaume, Andrea Parker, Jessica Wells, and Natalie D Hernandez. 2021. Developing Culturally Tailored mHealth Tools to Address Sexual and Reproductive Health Outcomes Among Black and Latina Women: A Systematic Review. Health Promotion Practice (2021), 15248399211002831.
[21]
Rasheeta Chandler, Dominique Guillaume, Andrea G Parker, Sierra Carter, and Natalie D Hernandez. 2020. Promoting Optimal Sexual and Reproductive Health with Mobile Health Tools for Black Women: Combining Technology, Culture and Context. Perspectives on Sexual and Reproductive Health 52, 4 (2020), 205--209.
[22]
Eun Kyoung Choe, Bongshin Lee, Haining Zhu, Nathalie Henry Riche, and Dominikus Baur. 2017. Understanding self-reflection: how people reflect on personal data through visual data exploration. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (Barcelona, Spain) (PervasiveHealth '17). Association for Computing Machinery, New York, NY, USA, 173--182. https://doi.org/10.1145/3154862.3154881
[23]
Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt, and Julie A. Kientz. 2014. Understanding quantified-selfers' practices in collecting and exploring personal data. In Proceedings of the 2014 CHI Conference on Human Factors in Computing Systems. 1143--1152.
[24]
Mayara Costa Figueiredo, Thu Huynh, Anna Takei, Daniel A Epstein, and Yunan Chen. 2021. Goals, life events, and transitions: examining fertility apps for holistic health tracking. JAMIA Open 4, 1 (03 2021). https://doi.org/10.1093/jamiaopen/ooab013 arXiv:https://academic.oup.com/jamiaopen/article-pdf/4/1/ooab013/36453929/ooab013.pdf ooab013.
[25]
AMRL Diaz, Marc R Laufer, Lesley L Breech, et al. 2006. Menstruation in girls and adolescents: using the menstrual cycle as a vital sign. Pediatrics 118, 5 (2006), 2245--2250.
[26]
Catherine D'Ignazio, Alexis Hope, Becky Michelson, Robyn Churchill, and Ethan Zuckerman. 2016. A Feminist HCI Approach to Designing Postpartum Technologies: " When I first saw a breast pump I was wondering if it was a joke". In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 2612--2622.
[27]
Kevin Doherty, José Marcano-Belisario, Martin Cohn, Nikolaos Mastellos, Cecily Morrison, Josip Car, and Gavin Doherty. 2019. Engagement with Mental Health Screening on Mobile Devices: Results from an Antenatal Feasibility Study. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--15.
[28]
Zikan Dong, Liu Wang, Hao Xie, Guoai Xu, and Haoyu Wang. 2022. Privacy Analysis of Period Tracking Mobile Apps in the Post-Roe v. Wade Era. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering. 1--6.
[29]
Helen S Driver and Fiona C Baker. 1998. Menstrual factors in sleep. Sleep Medicine Reviews 2, 4 (1998), 213--229.
[30]
Catherine E Elmore, Jessica Keim-Malpass, and Emma McKim Mitchell. 2021. Health Inequity in Cervical Cancer Control Among Refugee Women in the United States by Country of Origin. Health Equity 5, 1 (2021), 119--123.
[31]
Daniel A Epstein, Nicole B Lee, Jennifer H Kang, Elena Agapie, Jessica Schroeder, Laura R Pina, James Fogarty, Julie A Kientz, and Sean Munson. 2017. Examining menstrual tracking to inform the design of personal informatics tools. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 6876--6888.
[32]
Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A Lived Informatics Model of Personal Informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Osaka, Japan) (UbiComp '15). Association for Computing Machinery, New York, NY, USA, 731--742. https://doi.org/10.1145/2750858.2804250
[33]
Jordan Eschler, Amanda Menking, Sarah Fox, and Uba Backonja. 2019. Defining Menstrual Literacy With the Aim of Evaluating Mobile Menstrual Tracking Applications. CIN: Computers, Informatics, Nursing 37, 12 (2019), 638--646.
[34]
Denzil Ferreira, Vassilis Kostakos, and Anind K. Dey. 2015. AWARE: mobile context instrumentation framework. Frontiers in ICT 2 (2015). https://doi.org/10.3389/fict.2015.00006
[35]
Margaret Flemings, Shanzay Kazmi, Rachel Pak, and Orit Shaer. 2018. Crimson Wave: Shedding Light on Menstrual Health. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (Stockholm, Sweden) (TEI '18). Association for Computing Machinery, New York, NY, USA, 343--348. https://doi.org/10.1145/3173225.3173292
[36]
Sarah Fox and Daniel A Epstein. 2020. Monitoring Menses: Design-Based Investigations of Menstrual Tracking Applications. In The Palgrave Handbook of Critical Menstruation Studies. Palgrave Macmillan, Singapore, 733--750.
[37]
Amy Glynn, Rose MacKenzie, and Therese Fitzgerald. 2015. Taming Healthcare Costs: Promise and Pitfalls for Women's Health. Journal of women's health (2002) 25 (10 2015). https://doi.org/10.1089/jwh.2015.5295
[38]
Brianna M. Goodale and Michael Blaivas. 2021. Real-world perspective on wearable sensor technology as a complement to traditional fertility services and an employer-covered benefit. Fertility and Sterility 116, 3, Supplement (2021), e268. https://doi.org/10.1016/j.fertnstert.2021.07.718 77th Scientific Congress of the American Society for Reproductive Medicine.
[39]
Brianna Mae Goodale, Mohaned Shilaih, Lisa Falco, Franziska Dammeier, Györgyi Hamvas, and Brigitte Leeners. 2019. Wearable sensors reveal menses-driven changes in physiology and enable prediction of the fertile window: observational study. Journal of medical Internet research 21, 4 (2019), e13404.
[40]
Azure D Grant, Mark Newman, and Lance J Kriegsfeld. 2020. Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge. Scientific reports 10, 1 (2020), 1--12.
[41]
Junichiro Hayano and Emi Yuda. 2021. Prediction of Menstrual Cycle Phase by Wearable Heart Rate Sensor. In Research Advancements in Smart Technology, Optimization, and Renewable Energy. IGI Global, 1--15.
[42]
Julie Hennegan, Inga T Winkler, Chris Bobel, Danielle Keiser, Janie Hampton, Gerda Larsson, Venkatraman Chandra-Mouli, Marina Plesons, and Thérèse Mahon. 2021. Menstrual health: a definition for policy, practice, and research. Sexual and Reproductive Health Matters 29, 1 (2021), 31--38.
[43]
Joseph Henrich, Steven J Heine, and Ara Norenzayan. 2010. The weirdest people in the world? Behavioral and brain sciences 33, 2--3 (2010), 61--83.
[44]
Sarah Homewood. 2019. Inaction as a design decision: Reflections on not designing self-tracking tools for menopause. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1--12.
[45]
Sarah Homewood and Anna Vallgårda. 2020. Putting Phenomenological Theories to Work in the Design of Self-Tracking Technologies. In Proceedings of the 2020 ACM Designing Interactive Systems Conference. 1833--1846.
[46]
Reihaneh Jarrahi, Nahid Golmakani, and Seyyed Reza Mazlom. 2020. Comparison of the effect of menstrual health education with peer-based and small-group approaches on adolescent girls' health behaviors, a clinical trial. Evidence Based Care (2020).
[47]
Ingrid Johnston-Robledo and Joan Chrisler. 2011. The Menstrual Mark: Menstruation as Social Stigma. Sex Roles 68 (01 2011), 1--10. https://doi.org/10.1007/s11199-011-0052-z
[48]
Gopinaath Kannabiran, Alex A Ahmed, Matthew Wood, Madeline Balaam, Joshua G Tanenbaum, Shaowen Bardzell, and Jeffrey Bardzell. 2018. Design for sexual wellbeing in HCI. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. 1--7.
[49]
Joan Kaufman. 2005. China: the intersections between poverty, health inequity, reproductive health and HIV/AIDS. Development 48, 4 (2005), 113--119.
[50]
Os Keyes, Burren Peil, Rua M Williams, and Katta Spiel. 2020. Reimagining (women's) health: HCI, gender and essentialised embodiment. ACM Transactions on Computer-Human Interaction (TOCHI) 27, 4 (2020), 1--42.
[51]
Julie A Kientz, Rosa I Arriaga, and Gregory D Abowd. 2009. Baby steps: evaluation of a system to support record-keeping for parents of young children. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1713--1722.
[52]
Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo. 2017. OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 67 (sep 2017), 28 pages. https://doi.org/10.1145/3130930
[53]
Neha Kumar, Naveena Karusala, Azra Ismail, and Anupriya Tuli. 2020. Taking the Long, Holistic, and Intersectional View to Women's Wellbeing. ACM Transactions on Computer-Human Interaction (TOCHI) 27, 4 (2020), 1--32.
[54]
Amanda Lazar, Norman Makoto Su, Jeffrey Bardzell, and Shaowen Bardzell. 2019. Parting the red sea: Sociotechnical systems and lived experiences of menopause. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--16.
[55]
Ian Li, Anind K Dey, and Jodi Forlizzi. 2011. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proceedings of the 13th international conference on Ubiquitous computing. 405--414.
[56]
Georgianna Lin, Rumsha Siddiqui, Zixiong Lin, Joanna M Blodgett, Shwetak N Patel, Khai N Truong, and Alex Mariakakis. 2023. Blood glucose variance measured by continuous glucose monitors across the menstrual cycle. npj Digital Medicine 6, 1 (2023), 140.
[57]
Georgianna E Lin, Elizabeth D Mynatt, and Neha Kumar. 2022. Investigating Culturally Responsive Design for Menstrual Tracking and Sharing Practices Among Individuals with Minimal Sexual Education. In CHI Conference on Human Factors in Computing Systems. 1--15.
[58]
Lan Luo, Xichen She, Jiexuan Cao, Yunlong Zhang, Yijiang Li, and Peter X K Song. 2020. Detection and Prediction of Ovulation From Body Temperature Measured by an In-Ear Wearable Thermometer. IEEE transactions on bio-medical engineering 67, 2 (2020), 512--522. https://doi.org/10.1109/TBME.2019.2916823
[59]
Anna Maijala, Hannu Kinnunen, Heli Koskimäki, Timo Jämsä, and Maarit Kangas. 2019. Nocturnal finger skin temperature in menstrual cycle tracking: ambulatory pilot study using a wearable Oura ring. BMC Women's Health 19, 1 (2019), 1--10.
[60]
Marianne H Marchand, Jane L Parpart, et al. 1995. Feminism/postmodernism/development. Routledge London.
[61]
Sonja M. McKinlay, Donald J. Brambilla, and Jennifer G. Posner. 1992. The normal menopause transition. Maturitas 14, 2 (1992), 103--115. https://doi.org/10.1016/0378-5122(92)90003-m
[62]
Jimmy Moore, Pascal Goffin, Jason Wiese, and Miriah Meyer. 2022. An Interview Method for Engaging Personal Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 173 (dec 2022), 28 pages. https://doi.org/10.1145/3494964
[63]
Tamara L Newton and Correna L Philhower. 2003. Socioemotional correlates of self-reported menstrual cycle irregularity in pre-menopausal women. Psychosomatic medicine 65, 6 (2003), 1065--1069.
[64]
Jenna Nobles, Lindsay Cannon, and Allen J Wilcox. 2022. Menstrual irregularity as a biological limit to early pregnancy awareness. Proceedings of the National Academy of Sciences 119, 1 (2022), e2113762118.
[65]
Alison K. Nulty, Elizabeth Chen, and Amanda L. Thompson. 2022. The Ava bracelet for collection of fertility and pregnancy data in free-living conditions: An exploratory validity and acceptability study. Digital Health 8 (2022), 20552076221084461. https://doi.org/10.1177/20552076221084461 35295766.
[66]
Tanja Oosthuyse and Andrew N Bosch. 2010. The effect of the menstrual cycle on exercise metabolism. Sports medicine 40, 3 (2010), 207--227.
[67]
Lindsey Ossewaarde, Erno J Hermans, Guido A van Wingen, Sabine C Kooijman, Inga-Maj Johansson, Torbjörn Bäckström, and Guillén Fernández. 2010. Neural mechanisms underlying changes in stress-sensitivity across the menstrual cycle. Psychoneuroendocrinology 35, 1 (2010), 47--55.
[68]
Adrienne Pichon, Kasey B Jackman, Inga T Winkler, Chris Bobel, and Noémie Elhadad. 2021. The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps. Journal of the American Medical Informatics Association 29, 2 (10 2021), 385--399. https://doi.org/10.1093/jamia/ocab212 arXiv:https://academic.oup.com/jamia/article-pdf/29/2/385/42180003/ocab212.pdf
[69]
Karl M Pirke, Ulrich Schweiger, Wolfgang Lemme, J Christian Krieg, and Mathias Berger. 1985. The influence of dieting on the menstrual cycle of healthy young women. The Journal of Clinical Endocrinology & Metabolism 60, 6 (1985), 1174--1179.
[70]
Jerilynn C Prior, Marit Naess, Arnulf Langhammer, and Siri Forsmo. 2015. Ovulation prevalence in women with spontaneous normal-length menstrual cycles-a population-based cohort from HUNT3, Norway. PloS one 10, 8 (2015), e0134473.
[71]
Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, and Fahim Kawsar. 2018. Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4, Article 157 (jan 2018), 27 pages. https://doi.org/10.1145/3161174
[72]
Beverly G Reed and Bruce R Carr. 2015. The normal menstrual cycle and the control of ovulation. (2015).
[73]
John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the SIGCHI conference on human factors in computing systems. 1163--1172.
[74]
Udani Samarasekera and Richard Horton. 2017. Women's cancers: shining a light on a neglected health inequity. The Lancet 389, 10071 (2017), 771--773.
[75]
Mohaned Shilaih, Valérie de Clerck, Lisa Falco, Florian Kübler, and Brigitte Leeners. 2017. Pulse rate measurement during sleep using wearable sensors, and its correlation with the menstrual cycle phases, a prospective observational study. Scientific Reports 7, 1 (2017), 1--7.
[76]
Mohaned Shilaih, Brianna M Goodale, Lisa Falco, Florian Kübler, Valerie De Clerck, and Brigitte Leeners. 2018. Modern fertility awareness methods: wrist wearables capture the changes in temperature associated with the menstrual cycle. Bioscience reports 38, 6 (2018).
[77]
Mohaned Shilaih, Lisa Jonasson Falco, F. Kuebler, and Brigitte Leeners. 2017. Wrist worn wearable sensors capture the physiological changes associated with early pregnancy. Fertility and Sterility 108 (09 2017), e379. https://doi.org/10.1016/j.fertnstert.2017.07.1103
[78]
Mohaned Shilaih, F. Kuebler, C. Argyle, and Brigitte Leeners. 2018. Lower conception probability observed in menstrual cycles with higher physiological stress as measured by wrist worn wearables. Fertility and Sterility 110 (09 2018), e264. https://doi.org/10.1016/j.fertnstert.2018.07.750
[79]
Barbara Sommer. 1978. Stress and menstrual distress. Journal of Human Stress 4, 3 (1978), 5--47.
[80]
Sihan Song, Hansol Choi, Yanghee Pang, Oksoo Kim, and Hyun-Young Park. 2022. Factors associated with regularity and length of menstrual cycle: Korea Nurses' Health Study. BMC Women's Health 22, 1 (2022), 1--12.
[81]
Margarent L. Stubbs and Evelina W. Sterling. 2020. Learning About What's "Down There": Body Image Below the Belt and Menstrual Education. In The Palgrave Handbook of Critical Menstruation Studies. Palgrave Macmillan, Singapore, 233--252.
[82]
Hyewon Suh, John R Porter, Alexis Hiniker, and Julie A Kientz. 2014. @ BabySteps: design and evaluation of a system for using twitter for tracking children's developmental milestones. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2279--2288.
[83]
Anupriya Tuli, Shaan Chopra, Neha Kumar, and Pushpendra Singh. 2018. Learning from and with Menstrupedia: Towards menstrual health education in India. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 1--20.
[84]
Anupriya Tuli, Shaan Chopra, Pushpendra Singh, and Neha Kumar. 2020. Menstrual (Im)Mobilities and Safe Spaces. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--15.
[85]
Anupriya Tuli, Shruti Dalvi, Neha Kumar, and Pushpendra Singh. 2019. "It's a girl thing" Examining Challenges and Opportunities around Menstrual Health Education in India. ACM Transactions on Computer-Human Interaction (TOCHI) 26, 5 (2019), 1--24.
[86]
Anupriya Tuli, Surbhi Singh, Rikita Narula, Neha Kumar, and Pushpendra Singh. 2022. Rethinking Menstrual Trackers Towards Period-Positive Ecologies. In CHI Conference on Human Factors in Computing Systems. 1--20.
[87]
Agatha Tutia, Kelda Baljon, Lan Vu, and Daniela K Rosner. 2019. HCI and Menopause: Designing with and around the Aging Body. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1--8.
[88]
Yi-Xin Wang, Mariel Arvizu, Janet W Rich-Edwards, Jennifer J Stuart, JoAnn E Manson, Stacey A Missmer, An Pan, and Jorge E Chavarro. 2020. Menstrual cycle regularity and length across the reproductive lifespan and risk of premature mortality: prospective cohort study. Bmj 371 (2020).
[89]
Aron Weller and Leonard Weller. 2002. Menstrual irregularity and menstrual symptoms. Behavioral Medicine 27, 4 (2002), 173--178.
[90]
Li Ping Wong and Ee Ming Khoo. 2010. Menstrual-related attitudes and symptoms among multi-racial Asian adolescent females. International Journal of Behavioral Medicine 18, 3 (2010), 246--253. https://doi.org/10.1007/s12529-010-9091-z
[91]
Congyu Wu, Hagen Fritz, Sepehr Bastami, Juan P Maestre, Edison Thomaz, Christine Julien, Darla M Castelli, Kaya de Barbaro, Sarah Kate Bearman, Gabriella M Harari, R Cameron Craddock, Kerry A Kinney, Samuel D Gosling, David M Schnyer, and Zoltan Nagy. 2021. Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts. GigaScience 10, 6 (06 2021), giab044. https://doi.org/10.1093/gigascience/giab044 arXiv:https://academic.oup.com/gigascience/article-pdf/10/6/giab044/38714106/giab044_reviewer_2_report_original_submission.pdf
[92]
Hannele Yki-Järvinen. 1984. Insulin Sensitivity during the Menstrual Cycle. The Journal of Clinical Endocrinology & Metabolism 59, 2 (08 1984), 350--353. https://doi.org/10.1210/jcem-59-2-350 arXiv:https://academic.oup.com/jcem/article-pdf/59/2/350/10524423/jcem0350.pdf
[93]
Jia-Le Yu, Yun-Fei Su, Chen Zhang, Li Jin, Xian-Hua Lin, Lu-Ting Chen, He-Feng Huang, and Yan-Ting Wu. 2022. Tracking of menstrual cycles and prediction of the fertile window via measurements of basal body temperature and heart rate as well as machine-learning algorithms. Reproductive Biology and Endocrinology 20, 1 (2022), 118. https://doi.org/10.1186/s12958-022-00993-4
[94]
Tracy Y Zhu, Martina Rothenbühler, Györgyi Hamvas, Anja Hofmann, Joel Welter, Maike Katja Kahr, Nina Kimmich, Mohaned Shilaih, and Brigitte Leeners. 2021. The Accuracy of Wrist Skin Temperature in Detecting Ovulation Compared to Basal Body Temperature: Prospective Comparative Diagnostic Accuracy Study. Journal of Medical Internet Research 23 (2021). https://doi.org/10.2196/20710
[95]
Rhonda Zwingerman, Michael Chaikof, and Claire Jones. 2020. A Critical Appraisal of Fertility and Menstrual Tracking Apps for the iPhone. Journal of Obstetrics and Gynaecology Canada 42, 5 (2020), 583--590.
Index Terms
- Users' Perspectives on Multimodal Menstrual Tracking Using Consumer Health Devices
Recommendations
Functional Design Requirements to Facilitate Menstrual Health Data Exploration
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsMenstrual trackers currently lack the affordances required to help individuals achieve their goals beyond menstrual event predictions and symptom logging. Taking an initial step towards this aspiration, we propose, validate, and refine five functional ...
Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing SystemsWe 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 ...
Investigating Culturally Responsive Design for Menstrual Tracking and Sharing Practices Among Individuals with Minimal Sexual Education
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing SystemsHuman-Computer Interaction (HCI) research on menstrual tracking has emphasized the need for more inclusive design of mechanisms for tracking and sharing information on menstruation. We investigate menstrual tracking and data-sharing attitudes and ...
Comments
Information & Contributors
Information
Published In
Copyright © 2024 ACM.
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 [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 September 2024
Published in IMWUT Volume 8, Issue 3
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed
Funding Sources
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 231Total Downloads
- Downloads (Last 12 months)231
- Downloads (Last 6 weeks)30
Reflects downloads up to 01 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in