Minding the Gap: Creating Meaning from Missing and Anomalous Data

IF 0.6 4区 管理学 Q1 HISTORY Information & Culture Pub Date : 2021-06-24 DOI:10.7560/IC56204
Ciaran B. Trace, Yan Zhang
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引用次数: 3

Abstract

abstract:Complicating the notion that personal surveillance is always ubiquitous and pervasive, this article investigates the macro-, meso-, and microlevel "gaps" that confound the study of self-tracking. Literature from human-computer interaction, critical data studies, and archival science, as well as insights from qualitative research by the authors into the long-term value of self-tracking data, is used to expand a typology of "gaps" that exist as part of the activities, behaviors, technologies, and data practices of self-tracking. In this article an emphasis is placed on elucidating microlevel accountable and expressive gaps, articulating how people respond to and make sense of the temporal absences in their own self-tracking data. In the process, the authors argue for self-tracking research to reorient from a perspective that seeks to mitigate all data gaps to one in which data gaps are viewed as an opportunity to connect individuals with meaningful changes in the patterns of life.
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注意差距:从缺失和异常数据中创造意义
将个人监控始终无处不在和无所不在的概念复杂化,本文研究了宏观、中观和微观层面的“差距”,这些“差距”混淆了自我跟踪的研究。来自人机交互、关键数据研究和档案科学的文献,以及作者对自我跟踪数据的长期价值的定性研究的见解,被用来扩展作为自我跟踪的活动、行为、技术和数据实践的一部分存在的“差距”类型。在本文中,重点放在阐明微观层面的可解释和表达差距,阐明人们如何回应和理解他们自己的自我跟踪数据中的暂时缺失。在这个过程中,作者主张自我跟踪研究应该从一个寻求减轻所有数据差距的角度重新定位,在这个角度中,数据差距被视为一个将个人与生活模式中有意义的变化联系起来的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.80
自引率
16.70%
发文量
18
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