Self-tracking for fertility care: A holistic approach

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Abstract

With the recent popularity of self-tracking, individuals are increasingly using and interacting with their personal health data. Fertility is a health issue in which people often track and interact with diverse health-related data potentially associated with their fertility cycles. Fertility tracking is often impacted by different social factors and taboos, and it has been progressively assisted by consumer health technologies. My dissertation research combines multiple studies focusing on understanding the data practices, the influence of technology, and the consequences of using fertility-related personal data and technology in self-tracking for fertility. Based on my findings, I plan to explore how design and technology can be used to reinforce positive experiences, avoid negative emotional burden, and support holistic tracking for fertility.

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APA

Costa Figueiredo, M. (2020). Self-tracking for fertility care: A holistic approach. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3334480.3375029

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