Measuring Aesthetics for Information Visualization
Aesthetics is an unsolved problem of information visualization, because there is no satisfactory understanding of what constitutes aesthetic effect. This survey paper gives an overview of approaches to model aesthetics, starting with Birkhoffpsilas aesthetic measure and continuing to recent ones bas...
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creator | Filonik, D. Baur, D. |
description | Aesthetics is an unsolved problem of information visualization, because there is no satisfactory understanding of what constitutes aesthetic effect. This survey paper gives an overview of approaches to model aesthetics, starting with Birkhoffpsilas aesthetic measure and continuing to recent ones based on mathematical and information theoretical concepts. Common concepts in the different models are highlighted, such as the effects of order and complexity. Further, practical techniques for generating aesthetic visualizations are shown together with examples of recent work in this field. Finally, the paper discusses some of the key issues regarding aesthetics and the human factor in the visualization process. Empirical studies have shown a correlation between perceived aesthetics and usability, meaning that a better understanding of aesthetics could improve the usability of visualizations. |
doi_str_mv | 10.1109/IV.2009.94 |
format | Conference Proceeding |
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This survey paper gives an overview of approaches to model aesthetics, starting with Birkhoffpsilas aesthetic measure and continuing to recent ones based on mathematical and information theoretical concepts. Common concepts in the different models are highlighted, such as the effects of order and complexity. Further, practical techniques for generating aesthetic visualizations are shown together with examples of recent work in this field. Finally, the paper discusses some of the key issues regarding aesthetics and the human factor in the visualization process. 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This survey paper gives an overview of approaches to model aesthetics, starting with Birkhoffpsilas aesthetic measure and continuing to recent ones based on mathematical and information theoretical concepts. Common concepts in the different models are highlighted, such as the effects of order and complexity. Further, practical techniques for generating aesthetic visualizations are shown together with examples of recent work in this field. Finally, the paper discusses some of the key issues regarding aesthetics and the human factor in the visualization process. Empirical studies have shown a correlation between perceived aesthetics and usability, meaning that a better understanding of aesthetics could improve the usability of visualizations.</description><subject>Aesthetics</subject><subject>Chaos</subject><subject>Human factors</subject><subject>Image generation</subject><subject>Informatics</subject><subject>Mathematical model</subject><subject>Measures</subject><subject>Pressing</subject><subject>Robustness</subject><subject>Usability</subject><subject>Visualization</subject><issn>1550-6037</issn><issn>2375-0138</issn><isbn>9780769537337</isbn><isbn>0769537332</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM1OwzAQhC2gEqX0wpVLXiBh1xv_7LGqoEQq4gK9VrbrgFGbojg9wNMTAZcZzXyjEeIGoUIEvms2lQTgiuszMZVkVAlI9lzM2VgwmhUZInMhpqgUlBrITMYdMMNI6ktxlfMHQK2UUVMhn6LLpz51b8Ui5uE9Dinkoj32RdONenBDOnbFJuWT26fv33QtJq3b5zj_95l4fbh_WT6W6-dVs1ysyyCVHEpvvWLpNamgAwQc27CTznioMTByLa3VbdQ7an1EjeQdeO0jjbz1GGgmbv9-U4xx-9mng-u_tgoZrGT6AfwIR1A</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Filonik, D.</creator><creator>Baur, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20090101</creationdate><title>Measuring Aesthetics for Information Visualization</title><author>Filonik, D. ; Baur, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c252t-b8b592b635c6c0c1c25cd2a7b041c91942886fe6d3fbe1613ba0b6be3041fb1c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aesthetics</topic><topic>Chaos</topic><topic>Human factors</topic><topic>Image generation</topic><topic>Informatics</topic><topic>Mathematical model</topic><topic>Measures</topic><topic>Pressing</topic><topic>Robustness</topic><topic>Usability</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Filonik, D.</creatorcontrib><creatorcontrib>Baur, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Filonik, D.</au><au>Baur, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Measuring Aesthetics for Information Visualization</atitle><btitle>2009 13th International Conference Information Visualisation</btitle><stitle>IV</stitle><date>2009-01-01</date><risdate>2009</risdate><spage>579</spage><epage>584</epage><pages>579-584</pages><issn>1550-6037</issn><eissn>2375-0138</eissn><isbn>9780769537337</isbn><isbn>0769537332</isbn><abstract>Aesthetics is an unsolved problem of information visualization, because there is no satisfactory understanding of what constitutes aesthetic effect. This survey paper gives an overview of approaches to model aesthetics, starting with Birkhoffpsilas aesthetic measure and continuing to recent ones based on mathematical and information theoretical concepts. Common concepts in the different models are highlighted, such as the effects of order and complexity. Further, practical techniques for generating aesthetic visualizations are shown together with examples of recent work in this field. Finally, the paper discusses some of the key issues regarding aesthetics and the human factor in the visualization process. Empirical studies have shown a correlation between perceived aesthetics and usability, meaning that a better understanding of aesthetics could improve the usability of visualizations.</abstract><pub>IEEE</pub><doi>10.1109/IV.2009.94</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | 2009 13th International Conference Information Visualisation, 2009, p.579-584 |
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subjects | Aesthetics Chaos Human factors Image generation Informatics Mathematical model Measures Pressing Robustness Usability Visualization |
title | Measuring Aesthetics for Information Visualization |
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