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Information Visualization and Data Art Presentation by Borra, Erik Dresscher, Paulien Kampman, Minke.

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Presentation on theme: "Information Visualization and Data Art Presentation by Borra, Erik Dresscher, Paulien Kampman, Minke."— Presentation transcript:

1 Information Visualization and Data Art Presentation by Borra, Erik Dresscher, Paulien Kampman, Minke

2 Traditional InfoVis “The use of computers to interactively amplify cognition, using visual representations.” Based on abstract data and large datasets Computer based Produces a visualization Is readable and recognizable Interactively amplifies cognition Card, et.al. (1999)

3 Pousman Casual InfoVis as a complement to traditional InfoVis Centrality Gradience w.r.t. InfoVis  Ambient (informative, peripheral), social (ego-centric, data- centric), artistic (data driven, open to interpretation) Def casual:  user population, usage patterns, data type, insight (analytic, awareness, social, reflective), design: utilitarian vs useful How to evaluate them, how to use elements InfoVis ?  insight based, systems components, usability, longitudinal analysis, experience sampling

4 Vande Moere Tension / Continuum between traditional and artistic InfoVis. The main difference is the data mapping approach and choice of metaphor; 1. Data Visualization (What, How, Why) 2. Visualization Design (Highlights) 3. Ambient Display / Informative Art (Non-intrusive informing) 4. Visualization Experience (Conceptual exploration) 5. Visualization Art / Data Art (Exploring possibilities)

5 Kosara Two sides of a scale:  1) pragmatic visualization  2) artistic visualization. User friendliness The sublime is that what inspires awe and grandeur and evokes emotional response. The third way:  to unify them through the common concepts of critical thinking and criticism, i.e. science

6 How does Aesthetic differ from InfoVis? Info VisAesthetic Vis User Populationexpertuser Usage Patternmomentarycontemplative Data Typeworkpersonal Insightanalyticalsomething else Designutilitarianuseful Data mapping1 to 1? to ? Visual transferrelates directlyimaginative Interpretationdesignerviewer Visualisationuser friendlysublime Evaluationscientificpersonal

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8 How can these systems be useful in Information Visualization? Certain characteristics / elements can be used There should be an InfoVis critique (critical theory) There might be a common frame of evaluation

9 Certain characteristics can be used Theories of insight  analytic,  awareness,  social,  reflective. Design Challenges  utilitarian vs useful,  pleasing,  ambiguity,  integrate in lives of users.

10 There should be an InfoVis critique Neutral voice  discuss the work not the researcher Focus on facts  backup statements No self promotion  don’t mention your own work. Clear goal  to provide an alternative conclusion.

11 Common frame of evaluation Although less productivity focused and different usage patterns, different data, and different systems, there can be:  insight based evaluation,  system's components or comparative evaluations,  experience sampling,  longitudinal studies of utilization.

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