Abstract
Visual data analysis follows a sequence of steps derived from perceptual faculties that emanate from the human vision system. Firstly, pre-attentive phenomena determine a map of potential interesting objectives. Then, attentive selection concentrates on one element of a vocabulary of visual perceptions. Lastly, perceptions in working memory combine to long-term domain knowledge to support cognition. Following this process, we present a model that joins vision theory and visual data analysis aiming at settling a comprehension of why graphical presentations expand the human intellect, making us smarter.
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Rodrigues, J.F., Balan, A.G.R., Traina, A.J.M., Traina, C. (2008). The Visual Expression Process: Bridging Vision and Data Visualization. In: Butz, A., Fisher, B., Krüger, A., Olivier, P., Christie, M. (eds) Smart Graphics. SG 2008. Lecture Notes in Computer Science, vol 5166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85412-8_19
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DOI: https://doi.org/10.1007/978-3-540-85412-8_19
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