Self-recognition is an intimate act performed by people. Inspired by Paul Ricoeur, we reflect upon the action of self-recognition, especially when data visualization represents the observer itself. Along the article, the reader is invited to think about this specific relationship through concepts like the personal identity stored in information systems, the truthfulness at the core of self-recognition, and the mutual-recognition among community members. In the context of highly interdisciplinary research, we unveil two protagonists in data visualization: the designer and the (...) observer - the designer as the creator and the observer as the viewer of a visualization. This article deals with some theoretical aspects behind data visualization, a discipline more complex than normally expected. We believe that data visualization deserves a conceptual framework, and this investigation pursues this intention. For this reason, we look at the designer as not just a technician in the visualization production, but as a contemporary ethnologist - the designer as a professional working in a social environment to comprehend the context and formulate a specific inquiry with the help of appropriate visual languages. (shrink)

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. (shrink)

Some colors are compound colors, in the sense that they look complex: orange, violet, green..., by contrast to elemental colors like yellow or blue. In the chapter 3 of his Unterschungen zur Sinnespsychologie, Brentano purports to reconcile the claim that some colors are indeed intrinsically composed of others, with the claim that colors are impenetrable with respect to each other. His solution: phenomenal green is like a chessboard of blue and yellow squares. Only, such squares are so small that we (...) cannot discriminate between their location in perception. Consequently we get the impression of an homogeneous green extent. After having presented Brentano's solution, we argued that it is hardly compatible with Brentano's own conception of descriptive psychology, to the extent that it introduces in-existent objects (small yellow and blue squares), which cannot be perceived. We propose another solution to Brentano's puzzle, more in tune with his own assumptions, or so we argue. According to it, the yellow and the blue are in the green without being spatially in the green. A green extent has yellow and blue components, but these are not spatial components. This solution reconciles impenetrability (since the component colors are not localized) with the reality of compounds color. Besides, it has the advantage of taking the phenomenology of compounds colors, as Brentano's describes it, to the letter. Compound colors are what they seem: complex but not spatially complex. (shrink)