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Know Thyself: A Theory of the Self for Personal Informatics

机译:认识自己:个人信息学的自我理论

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摘要

Although Personal Informatics stresses the importance of "self"-awareness and "self"-knowledge in collecting personal data, a description of the "self," to which all these knowledge endeavors are addressed, is missing in the current debate. In this article we first review how the different theoretical assumptions that currently inform the design of Personal Informatics tools fail to convey a convincing image of the self, which ought to be quantified by these technologies. We then move on to the outline of a theory of the self that may ground the current discourse in Personal Informatics. Building on this theoretical framework, we propose a set of design guidelines as its implications, which may drive the design of future self-tracking technologies. Finally, we outline a research agenda, organized around such guidelines, in the form of research questions to be addressed in the future.
机译:尽管个人信息学在收集个人数据时强调了“自我”意识和“自我”知识的重要性,但是在当前的辩论中,所有这些知识努力都针对“自我”进行了描述。在本文中,我们首先回顾一下目前指导个人信息学工具设计的不同理论假设如何无法传达令人信服的自我形象,这些形象应该由这些技术加以量化。然后,我们进入自我理论的纲要,该理论可能会基于个人信息学的当前论述。在此理论框架的基础上,我们提出了一组设计准则作为其含义,这可能会推动未来的自我跟踪技术的设计。最后,我们概述了围绕此类指南组织的研究议程,形式为未来将要解决的研究问题。

著录项

  • 来源
    《Human-computer interaction》 |2017年第6期|335-380|共46页
  • 作者

    Rapp Amon; Tirassa Maurizio;

  • 作者单位

    Univ Torino, Comp Sci Dept, Turin, Italy;

    Univ Torino, Psychol Dept, Work & Org Psychol, Turin, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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