Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles
Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles
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DOI：
10.3390/soc4010068
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发表时间：
2014-03-01
期刊：
影响因子：
2.1
通讯作者：
Ruckenstein, Minna
中科院分区：
文献类型：
--
作者：
Ruckenstein, Minna
围绕自我监控实践出现了一个个人分析领域，其中包括对产生的数据进行可视化和解释。本文从自我优化的角度探讨了个人分析，认为人们面对和接触可视化个人数据的方式与技术本身一样重要。这篇论文的研究是基于这个概念。数据倍增：将人的身体和头脑转换成数据流，可以形象地重新组合，以达到个人反思和互动的目的。基于一项专注于心率变异性测量的实证研究，讨论强调，如果一个人想要捕捉人类和他们的数据之间的情感接触，那么个人分析的距离理论化是不够的。研究结果表明，这些解释可以产生永久性和稳定性，同时也深刻地改变了人们反思自己、反思他人和反思日常生活的方式。
A field of personal analytics has emerged around self-monitoring practices, which includes the visualization and interpretation of the data produced. This paper explores personal analytics from the perspective of self-optimization, arguing that the ways in which people confront and engage with visualized personal data are as significant as the technology itself. The paper leans on the concept of the. data double.: the conversion of human bodies and minds into data flows that can be figuratively reassembled for the purposes of personal reflection and interaction. Based on an empirical study focusing on heart-rate variability measurement, the discussion underlines that a distanced theorizing of personal analytics is not sufficient if one wants to capture affective encounters between humans and their data doubles. Research outcomes suggest that these explanations can produce permanence and stability while also profoundly changing ways in which people reflect on themselves, on others and on their daily lives.