Visually Encoding the Lived Experience of Bipolar Disorder

Visually Encoding the Lived Experience of Bipolar Disorder
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视觉编码双相情感障碍的生活经历

DOI:
10.1145/3290605.3300363
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发表时间:
2019
期刊:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Stephen Voida
Stephen Voida
中科院分区:
--
文献类型:
--
作者:
Jaime Snyder;Elizabeth L. Murnane;Caitlin Lustig;Stephen Voida

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社会身份的问题,对自我披露的态度,并可能有偏见的方法被认为是“典型的”或“正常”的设计可视化的个人信息系统时的关键因素。在与弱势群体合作时尤其如此,比如那些自我跟踪管理严重精神疾病如双相情感障碍(BD)的人。我们与被诊断患有BD的个人合作,以1)更好地理解与个人数据的表示和解释相关的意义构建挑战,2)探索参与式方法的好处,风险和局限性,以设计更好地反映他们生活经历的个人数据可视化。我们描述了我们的合作设计过程中,提出了一系列的紧急视觉编码模式,从这些活动中产生的,并报告这些投机设计的参与者的评估。最后,我们总结了为自我跟踪管理严重精神疾病的人设计个人数据可视化的重要考虑因素和影响。
Issues of social identity, attitudes towards self-disclosure, and potentially biased approaches to what is considered "typical" or "normal" are critical factors when designing visualizations for personal informatics systems. This is particularly true when working with vulnerable populations like those who self-track to manage serious mental illnesses like bipolar disorder (BD). We worked with individuals diagnosed with BD to 1) better understand sense-making challenges related to the representation and interpretation of personal data and 2) probe the benefits, risks, and limitations of participatory approaches to designing personal data visualizations that better reflect their lived experiences. We describe our co-design process, present a series of emergent visual encoding schemas resulting from these activities, and report on the assessment of these speculative designs by participants. We conclude by summarizing important considerations and implications for designing personal data visualizations for (and with) people who self-track to manage serious mental illness.
躁狂症和抑郁症的持久心理社会后果。
DOI: 10.1176/ajp.150.5.720
发表时间: 1993
期刊: The American journal of psychiatry
影响因子: --
作者:
Coryell,W;Scheftner,W;Keller,M;Endicott,J;Maser,J;Klerman,GL
通讯作者: Klerman,GL