tailieunhanh - Towards a Model of Information Aesthetics in Information Visualization
Psychologist . Eysenck’s studies support the existence of an objective factor of aesthetic appreciation independent of individual tastes. Eysenck described a “general factor” underlying aesthetic discrimination [Eys40][Eys72]. Eysenck asked observers to rank over 300 pictures of portraits, vases, clocks, ships, and so forth, in the order of liking. The subjects and pictures were chosen to eliminate irrelevant associations due to the cultural background of the sub- jects, the technical execution of the images, and subjects’ familiarity with the images. Having removed these variations, would the judgements vary randomly, based on each subject’s pref- erences? Factor analysis of the results revealed one underlying factor. In other words, people differ. | Towards a Model of Information Aesthetics in Information Visualization Andrea Lau and Andrew Vande Moere Key Centre of Design Computing Cognition University of Sydney Australia andrea andrew @arch. usyd. edu. au Abstract This paper proposes a model of information aesthetics in the context of information visualization. It addresses the need to acknowledge a recently emerging number of visualization projects that combine information visualization techniques with principles of creative design. The proposed model contributes to a better understanding of information aesthetics as a potentially independent research field within visualization that specifically focuses on the experience of aesthetics dataset interpretation and interaction. The proposed model is based on analysing existing visualization techniques by their interpretative intent and data mapping inspiration. It reveals information aesthetics as the conceptual link between information visualization and visualization art and includes the fields of social and ambient visualization. This model is unique in its focus on aesthetics as the artistic influence on the technical implementation and intended purpose of a visualization technique rather than subjective aesthetic judgments of the visualization outcome. This research provides a framework for understanding aesthetics in visualization and allows for new design guidelines and reviewing criteria. Keywords -- information aesthetics information visualization aesthetics visualization art. 1. Introduction Information visualization has recently emerged as an independent research field which aims to amplify cognition by developing effective visual metaphors for mapping abstract data 1 . The design of such effective data representations are generally supported by insights from visual cognition and perception research 2 as well as taxonomies which match data types to the most effective mapping technique 3 4 . Some researchers have suggested that information .
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