Abstract
Every information visualization developer is engaged in a complex process of design – balancing the three requirements of utility, soundness and attractiveness within given constraints. This paper investigates the oft-overlooked requirement of attractiveness (or ‘aesthetics’) in visualization, and, in doing so, discusses a wider role for the design process which emphasizes the benefits of disseminating design rationale. In presenting a model of three potential roles for design in information visualization, we suggest that the field would benefit from encompassing a broader scope that includes visualizations produced as part of commercial practice or artistic exploration. We conclude with a discussion on the practical consequences to the academic community of adopting our model – consequences that will require a paradigm shift in the way we value, teach and conduct information visualization research.
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References
1.Amar RA and Stasko J. Knowledge Precepts for Design and Evaluation of Information Visualizations. IEEE Transactions on Visualization and Computer Graphics 2004; 11 (4): 432-442 .
2.Judelman G. Aesthetics and Inspiration for Visualization Design: Bridging the Gap between Art and Science. International Conference on Information Visualisation (IV'04) 2004, IEEE; 245-250 .
3.Kamvar S and Harris J, We Feel Fine: An Almanac of Human Emotion . Scribner, 2009, p. 288 .
4.Posavec S [Website]. Stefanie Posavec - Portfolio. http://www.itsbeenreal.co.uk/
.
5.Stefaner M [Website]. Moritz Stefaner - Information Aesthetics. http://moritz.stefaner.eu/
.
6.Viégas FB and Wattenberg M. Artistic Data Visualization: Beyond Visual Analytic. Lecture Notes in Computer Science 2007; 4564 (15): 182-191 .
7.Lau A and Vande Moere A. Towards a Model of Information Aesthetic Visualization. International Conference on Information Visualisation (IV’07) 2007 (Zurich, Switzerland), IEEE; 87–92 .
8.Pousman Z, Stasko J, and Mateas M. Casual Information Visualization: Depictions of Data in Everyday Life. IEEE Transactions on Visualization and Computer Graphics 2007; 13 (6): 1145–1152 .
9.Heer J, Ham F, Carpendale S, et al. Creation and Collaboration: Engaging New Audiences for Information Visualization. Information Visualization: Human-Centered Issues in Visual Representation, Interaction, and Evaluation . Springer. 2008. 92–133 .
10.Fry B. Nature HapMap cover. Nature 2008; 437 (7063): 1 (cover) .
11.Aldersey-Williams H, Hall P, Sargent T, et al., Design and the Elastic Mind . The Museum of Modern Art: New York, 2008, p .
12.Klanten R, Bourquin N, Ehmann S, et al., Data Flow: Visualising Information in Graphic Design . Gestalten, 2008, p. 256 .
13.Tufte E, Envisioning Information . Graphics Press, 1990, p. 126 .
14.Bloch M, Byron L, Carter S, et al. [Website]. The Ebb and Flow of Movies: Box Office Receipts 1986 — 2008. http://www.nytimes.com/interactive/2008/02/23/movies/20080223_REVENUE_GRAPHIC.html
.
15.Havre S, Hetzler E, Whitney P, et al. Theme River: Visualizing Thematic Changes in Large Document Collections. IEEE Transactions on Visualization and Computer Graphics 2002; 8 (1): 9–20 .
16.Byron L and Wattenberg M. Stacked Graphs - Geometry & Aesthetics. IEEE Transactions on Visualization and Computer Graphics 2008; 14 (6): 1245–1252 .
17.Ogawa M and Ma K-L, Software Evolution Storylines, in ACM Symposium on Software Visualization (SOFTVIS'10) . 2010, ACM: Salt Lake City, Utah, USA. p. 35–42 .
18.Munroe R [Website]. Movie Narrative Charts. http://xkcd.com/657/
.
19.Shneiderman B. Tree Visualization with Tree-Maps: 2-D Space-Filling Approach. ACM Transactions on Graphic (TOG) 1992; 11 (1): 92–99 .
20.Paley WB [Website]. Information Esthetics - InfoVis Tests. http://informationesthetics.org/node/27
.
21.Saffer D, Designing for Interaction: Creating Smart Applications and Clever Devices . Peachpit Press Berkeley, 2006, p. 248 .
22.Norman DA and Draper SW, User Centered System Design: New Perspectives on Human-Computer Interaction . CRC Press, 1986, p. 544 .
23.Vredenburg K, Mao J-Y, Smith PW, et al. A Survey of User-Centered Design Practice. Conference on Human factors in computing systems (CHI'’02) 2002, ACM; 471–478 .
24.Löwgren J. Applying Design Methodology to Software Development. Designing Interactive Systems (DIS'95) 1995, ACM; 87–95 .
25.Wolf TV, Rode JA, Sussman J, et al. Dispelling "Design" as the Black Art of CHI. Conference on Human Factors in Computing Systems (CHI '06) 2006, ACM; 521–530 .
26.Cross N. Designerly Ways of Knowing. Design Studies 1982; 3 (4): 221-227 .
27.Simon H, The Sciences of the Artificial . The MIT Press: Cambridge, 1996, p. 215 .
28.Gregory SA. Design and the Design Method, In: Gregory SA (Ed). The Design Method . Butterworths: London. 1966. 354 .
29.Gero J. Design Prototypes: a Knowledge Representation Schema for Design. AI Magazine 1990; 11 (4): 26–36 .
30.Inselberg A and Dimsdale B. Parallel Coordinates: a Tool for Visualizing Multi-Dimensional Geometry. IEEE Conference on Visualization (VIS'90) 1990 (San Francisco, CA , USA), IEEE; 361–378 .
31.Fishwick PA, Aesthetic Computing . MIT Press, 2006, p. 201 .
32.Chen C. Top 10 Unsolved Information Visualization Problems. IEEE Computer Graphics and Applications 2005; 25 (4): 12–16 .
33.Burkhard R, Andrienko G, Andrienko N, et al. Visualization Summit 2007: Ten Research Goals for 2010. Information Visualization 2007; 6 (3): 169–188 .
34.Shedroff N, Experience Design . Waite Group Press, 2001, p. 304 .
35.Munzer T. Process and Pitfalls in Writing Information Visualization Research Papers. Information Visualization: Human-Centered Issues and Perspectives . 2008. 134–153 .
36.Norman D. Emotion & Design: Attractive Things Work Better. interactions 2002; 9 (4): 36–42 .
37.Salimun C, Purchase H, Simmons DR, et al. The Effect of Aesthetically Pleasing Composition on Visual Search Performance. Nordic Conference on Human-Computer Interaction (NordiCHI'10) 2010, ACM; to appear .
38.Kurosu M and Kashimura K. Apparent Usability vs. Inherent Usability: Experimental Analysis on the Determinants of the Apparent Usability. Conference on Human factors in Computing Systems (CHI'95) 1995, ACM; 292–293 .
39.Tractinsky N, A. S-K, and Ikar D. What is Beautiful is Usable Interacting with Computers 2000; 13 (2): 127–145 .
40.Cawthon N and Vande Moere A. The Effect of Aesthetic on the Usability of Data Visualization. IEEE Conference on Information Visualization (IV'07) 2007 (Zurich, Switzerland), IEEE; 637–648 .
41.Bateman S, Mandryk R, Gutwin C, et al. Useful Junk? The Effects of Visual Embellishment on Comprehension and Memorability of Charts. Conference on Human Factors in Computing Systems (CHI'10) 2010 (Atlanta, GA, USA), ACM; 2573–2582 .
42.Manovich L [Website]. Info-Aesthetics. http://www.manovich.net/IA
.
43.Donath J, Karahalios K, and Viegas F. Visualizing Conversation. Annual Hawaii International Conference on System Sciences 1999 .
44.Mankoff J, Dey AK, Hsieh G, et al. Heuristic Evaluation of Ambient Displays. Conference on Human Factors in Computing System (CHI'03) 2003 (Ft. Lauderdale, Florida, USA), ACM; 169–176 .
45.Pousman Z and Stasko J. A Taxonomy of Ambient Information Systems: Four Patterns of Design. Advanced Visual Interfaces (AVI'06) 2006 (Venezia, Italy), ACM; 67–74 .
46.Redström J, Skog T, and Hallnäs L. Informative Art: Using Amplified Artworks as Information Displays. Designing Augmented Reality Environments (DARE 2000) 2000, ACM; 103–114 .
47.Skog T, Ljungblad S, and Holmquist LE. Between Aesthetics and Utility: Designing Ambient Information Visualizations. Symposium on Information Visualization (Infovis'03) 2003, IEEE; 30–37 .
48.Sack W. Aesthetics of Information Visualization, In: Paul C, Vesna V, and Lovejoy M (Eds). Context Providers . MIT Press: Boston. 2006. 123–150 .
49.Kosara R. Visualization Criticism - The Missing Link Between Information Visualization and Art. Conference on Information Visualization (IV'07) 2007 (Zurich, Switzerland), IEEE; 631–636 .
50.Beardsley MC, Aesthetics from Classical Greece to the Present: a Short History . Mind. The University of Alabama Press, 1976, p .
51.Ngo DCL, Teo LS, and Byrne JG. Modelling Interface Aesthetics Information Sciences: an International Journal 2003; 152 (1): 25–46 .
52.Conolly O and Haydar B. Aesthetic Principles. The British Journal of Aesthetics 2003; 43 (2): 114–125 .
53.Card SK, Mackinlay JD, and Shneiderman B, Readings in Information Visualization: Using Vision to Think . Morgan Kaufmann Publishers: San Francisco, 1999, p .
54.Agrawala M, Li W, and Berthouzoz F. Design Principles for Visual Communication. Communications of the ACM 2011; 54 (4): 60–69 .
55.Ware C, Information Visualization: Perception for Design . Morgan Kaufman, 2004, p. 435 .
56.Few S, Show Me the Numbers: Designing Tables and Graphs to Enlighten . Analytics Press, 2004, p. 280 .
57.Fallman D. Design-Oriented Human-Computer Interaction. Conference on Human Factors in Computing Systems (CHI 2003) 2003 (Ft. Lauderdale, Florida), ACM; 225–232 .
58.Lawson B, How Designers Think . Architectural Press, 1997, p. 192 .
59.Keefe D, Karelitz D, Vote E, et al. Artistic Collaboration in Designing VR Visualizations. IEEE Computer Graphics and Applications 2005; 25 (2): 18–23 .
60.Segel E and Heer J. Narrative Visualization: Telling Stories with Data. IEEE Transactions on Visualization and Computer Graphics 2010; 16 (6): 1139–1148 .
61.Forsén G, Lundin T, and L–wgren J. Pinpoint: A Design Study in Interactive Visualization for Finding People in a Large Organization. Information Visualization 2010; 9 (2): 141–151 .
62.Gaver B, Dunne T, and Pacenti E. Design: Cultural Probes. interactions 1999; 6 (1): 21–29 .
63.Paulos E, Jenkins T, Joki A, et al. Objects of Wonderment. ACM Conference on Designing interactive systems (DIS '08) 2008 (Cape Town, South Africa), ACM; 350–359 .
64.Fallman D. Why Research-oriented Design Isn't Design-oriented Research: On the Tensions Between Design and Research in an Implicit Design Discipline. Knowledge, Technology & Policy 2007; 20 (3): 193–200 .
65.Fallman D. The Interaction Design Research Triangle of Design Practice, Design Studies, and Design Exploration. Design Studies 2008; 24 (3): 4–18 .
66.Interactive P [Website]. Pitch Interactive. http://www.pitchinteractive.com/
.
67.Tree C [Website]. ct. http://www.catalogtree.net/
.
68.Design S [Website]. Stamen Design - Big Ideas worth Pursuing. http://stamen.com
.
69.XPLANE [Website]. XPLANE - Better Business, Designed. http://www.xplane.com
.
70.Schön DA, The Reflective Practitioner: How Professionals Think In Action . Temple Smith: London, 1983, p. 384 .
71.Segaran T and Hammerbacher J, Beautiful Data: The Stories Behind Elegant Data Solutions . O'Reilly Media, 2010, p .
72.Steele J and Iliinsky N, Beautiful Visualization: Looking at Data through the Eyes of Experts . O'Reilly Media, 2010, p. 416 .
73.Nielsen J. Iterative User-Interface Design. Computer 1993; 26 (11): 32–41 .
74.Boehm B. A Spiral Model of Software Development and Enhancement. ACM SIGSOFT Software Engineering Notes 1986; 11 (4): 14–24 .
75.Cross A. Design and General Education. Design Studies 1980; 1 (4): 202–206 .