Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.

中文翻译：

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数字表型、行为感知或个人感知：数字时代的名称和透明度。

来自网络传感器（例如手机中的传感器）的数据越来越多地被探索和用于识别与健康和心理健康相关的行为。虽然计算机科学家将这一领域称为情境感知、个人感知或移动感知，但医学最近采用了数字表型这一术语。本文根据隐私问题讨论了这些标签的含义，认为对于我们正在获取数据的人来说，语言是透明且有意义的。