可见:双相情感障碍自我管理中的隐私、透明度和披露。

Justin Petelka, Lucy Van Kleunen, Liam Albright, Elizabeth Murnane, Stephen Voida, Jaime Snyder
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引用次数: 20

摘要

个人信息学(PI)的研究呼吁系统支持社会形式的跟踪,提出了隐私如何能够和应该支持有意共享敏感健康信息的问题。我们关注与双相情感障碍(BD)自我跟踪相关的个人数据案例,以探索披露活动与其他隐私体验相交的方式。虽然HCI研究经常将隐私作为一种披露活动来讨论,但这并没有反映出隐私可以被动体验的方式。在本文中,我们通过定义透明度经验和促成因素来扩大隐私的概念,与披露活动和偏好形成对比。接下来,我们将这一理论举措建立在对管理BD的人分享的个人叙述的实证分析之上。我们从设计社会支持的PI系统的意义方面讨论了由此产生的透明度模型。注意:本文涉及精神疾病经历,包括自残、抑郁、自杀意念等。
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Being (In)Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar Disorder.

Research in personal informatics (PI) calls for systems to support social forms of tracking, raising questions about how privacy can and should support intentionally sharing sensitive health information. We focus on the case of personal data related to the self-tracking of bipolar disorder (BD) in order to explore the ways in which disclosure activities intersect with other privacy experiences. While research in HCI often discusses privacy as a disclosure activity, this does not reflect the ways in which privacy can be passively experienced. In this paper we broaden conceptions of privacy by defining transparency experiences and contributing factors in contrast to disclosure activities and preferences. Next, we ground this theoretical move in empirical analysis of personal narratives shared by people managing BD. We discuss the resulting emergent model of transparency in terms of implications for the design of socially-enabled PI systems. CAUTION: This paper contains references to experiences of mental illness, including self-harm, depression, suicidal ideation, etc.

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