Self-Tracking for Fertility Care: A Holistic Approach

Self-Tracking for Fertility Care: A Holistic Approach
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生育护理的自我跟踪:整体方法

DOI:
10.1145/3334480.3375029
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发表时间:
2020
期刊:
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Mayara Costa Figueiredo
Mayara Costa Figueiredo
中科院分区:
--
文献类型:
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作者:
Mayara Costa Figueiredo

文献摘要

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随着最近自我跟踪的流行,人们越来越多地使用他们的个人健康数据并与之交互。生育力是一个健康问题,人们经常跟踪可能与生育周期相关的各种健康相关数据并与之互动。生育率追踪经常受到不同社会因素和禁忌的影响,并且已逐渐得到消费者健康技术的协助。我的论文研究结合了多项研究,重点是了解数据实践、技术的影响以及使用与生育相关的个人数据和技术进行生育自我跟踪的后果。根据我的发现,我计划探索如何使用设计和技术来强化积极的体验,避免负面的情绪负担,并支持生育力的整体跟踪。
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.