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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Filonik, D., Baur, D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 584
container_issue
container_start_page 579
container_title
container_volume
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
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5190829</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5190829</ieee_id><sourcerecordid>5190829</sourcerecordid><originalsourceid>FETCH-LOGICAL-c252t-b8b592b635c6c0c1c25cd2a7b041c91942886fe6d3fbe1613ba0b6be3041fb1c3</originalsourceid><addsrcrecordid>eNotjM1OwzAQhC2gEqX0wpVLXiBh1xv_7LGqoEQq4gK9VrbrgFGbojg9wNMTAZcZzXyjEeIGoUIEvms2lQTgiuszMZVkVAlI9lzM2VgwmhUZInMhpqgUlBrITMYdMMNI6ktxlfMHQK2UUVMhn6LLpz51b8Ui5uE9Dinkoj32RdONenBDOnbFJuWT26fv33QtJq3b5zj_95l4fbh_WT6W6-dVs1ysyyCVHEpvvWLpNamgAwQc27CTznioMTByLa3VbdQ7an1EjeQdeO0jjbz1GGgmbv9-U4xx-9mng-u_tgoZrGT6AfwIR1A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Measuring Aesthetics for Information Visualization</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Filonik, D. ; Baur, D.</creator><creatorcontrib>Filonik, D. ; Baur, D.</creatorcontrib><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.</description><identifier>ISSN: 1550-6037</identifier><identifier>ISBN: 9780769537337</identifier><identifier>ISBN: 0769537332</identifier><identifier>EISSN: 2375-0138</identifier><identifier>DOI: 10.1109/IV.2009.94</identifier><identifier>LCCN: 209905374</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aesthetics ; Chaos ; Human factors ; Image generation ; Informatics ; Mathematical model ; Measures ; Pressing ; Robustness ; Usability ; Visualization</subject><ispartof>2009 13th International Conference Information Visualisation, 2009, p.579-584</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c252t-b8b592b635c6c0c1c25cd2a7b041c91942886fe6d3fbe1613ba0b6be3041fb1c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5190829$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5190829$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Filonik, D.</creatorcontrib><creatorcontrib>Baur, D.</creatorcontrib><title>Measuring Aesthetics for Information Visualization</title><title>2009 13th International Conference Information Visualisation</title><addtitle>IV</addtitle><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.</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>
fulltext fulltext_linktorsrc
identifier ISSN: 1550-6037
ispartof 2009 13th International Conference Information Visualisation, 2009, p.579-584
issn 1550-6037
2375-0138
language eng
recordid cdi_ieee_primary_5190829
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Aesthetics
Chaos
Human factors
Image generation
Informatics
Mathematical model
Measures
Pressing
Robustness
Usability
Visualization
title Measuring Aesthetics for Information Visualization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T08%3A19%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Measuring%20Aesthetics%20for%20Information%20Visualization&rft.btitle=2009%2013th%20International%20Conference%20Information%20Visualisation&rft.au=Filonik,%20D.&rft.date=2009-01-01&rft.spage=579&rft.epage=584&rft.pages=579-584&rft.issn=1550-6037&rft.eissn=2375-0138&rft.isbn=9780769537337&rft.isbn_list=0769537332&rft_id=info:doi/10.1109/IV.2009.94&rft_dat=%3Cieee_6IE%3E5190829%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5190829&rfr_iscdi=true