Self-Recognition in Data Visualization: How Individuals See Themselves in Visual Representations

This article explores how readers recognize their personal identities represented through data visualizations. The recognition is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the identification with the visualization, the recognition of someone in the visualization, and the mutual recognition that happens between readers. Whereas these notions were initially applied to study the role of the book reader, two further concepts complete the shift to data visualization: the digital identity stays for the present-day passport of human actions and the promise is the intimate reflection that projects readers towards their own future. This article reflects on the delicate meaning of digital identity and the way of representing it according to this structure: From Personal Identity to Media is a historical introduction to self-recognition, Data Visualization for Representing Identities moves the focus to visual representation, and The Course of Recognition breaks the self-recognition in through the five concepts above just before the Conclusion.


Published in:
EspacesTemps.net: Electronic Journal of Humanities and Social Sciences
Year:
Aug 08 2019
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Note:
This article was initially published as a manuscript in 2016. As we think it is still worth working on, we developed the original version for a journal publication. Since the first structure has been maintained, we kept the original title modifying the subtitle only.
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 Record created 2019-08-09, last modified 2019-08-14

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