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Multiples Over Models
ACM Transactions on Computer-Human Interaction ( IF 3.7 ) Pub Date : 2020-07-07 , DOI: 10.1145/3397178
Sarah E. Fox 1 , Amanda Menking 2 , Jordan Eschler 3 , Uba Backonja 4
Affiliation  

In this article, we describe our efforts to retrace and reimagine period tracking technology—or, mobile applications designed to support the documentation and quantification of menstrual cycle data. In their current form, these systems often encourage those who menstruate to extract intimate information about the body (e.g., consistency or color of menstrual flow, physical and emotional symptoms), while promising to predict fertility and offer insight into managing one's period. In doing so, these technologies subtly dictate the forms of knowledge and types of relationships menstruators are expected to establish with their bodies (i.e., transactional or instrumentalized). Through historical analysis and a series of participatory experiments, we offer a vision for menstrual sensemaking that expands on these forms of interaction and ways of knowing to emphasize multiplicity and dimensionality rather than models, predictability, or a user's relation to averages or norms.

中文翻译:

模型的倍数

在本文中,我们描述了我们为追溯和重新构想经期跟踪技术或旨在支持月经周期数据的记录和量化的移动应用程序所做的努力。在目前的形式下,这些系统通常鼓励那些来月经的人提取有关身体的私密信息(例如,月经流量的一致性或颜色、身体和情绪症状),同时承诺预测生育能力并提供对月经管理的洞察力。在这样做的过程中,这些技术巧妙地规定了经期者与其身体建立的知识形式和关系类型(即交易性或工具化)。通过历史分析和一系列参与性实验,多样性维度而不是模型、可预测性或用户与平均值或规范的关系。
更新日期:2020-07-07
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