Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations
Identifieur interne : 001374 ( Istex/Corpus ); précédent : 001373; suivant : 001375Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations
Auteurs : Kazimierz ChoroSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Usability is defined as the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of user. Usability of a website is a very crucial problem. For the Web pages usability is a set of layout, structure, arrangements, typography, and many other properties that makes a website simple and easy to use. We are using many techniques for the evaluation of the websites. One of the new methods is based on the analysis of click, block, and heat maps mainly leading to the detection of these parts of the website which are not used or where the user is intuitively expecting a link to the next part of the site visited. Nowadays, there are many professional software packages to generate these maps, but their deep interpretation seems to be still a problem to consider. The results obtained from the tests performed for two different websites using click, block, and heat map techniques enabled us to draw some interesting conclusions on user behavior. Another problem discussed is to what extent the observations and correlations detected for one website, with the population of dominant visitors relatively well predictable can be applied to another website with unknown population of visitors.
Url:
DOI: 10.1007/978-3-642-23938-0_42
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Usability of a website is a very crucial problem. For the Web pages usability is a set of layout, structure, arrangements, typography, and many other properties that makes a website simple and easy to use. We are using many techniques for the evaluation of the websites. One of the new methods is based on the analysis of click, block, and heat maps mainly leading to the detection of these parts of the website which are not used or where the user is intuitively expecting a link to the next part of the site visited. Nowadays, there are many professional software packages to generate these maps, but their deep interpretation seems to be still a problem to consider. The results obtained from the tests performed for two different websites using click, block, and heat map techniques enabled us to draw some interesting conclusions on user behavior. 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Usability of a website is a very crucial problem. For the Web pages usability is a set of layout, structure, arrangements, typography, and many other properties that makes a website simple and easy to use. We are using many techniques for the evaluation of the websites. One of the new methods is based on the analysis of click, block, and heat maps mainly leading to the detection of these parts of the website which are not used or where the user is intuitively expecting a link to the next part of the site visited. Nowadays, there are many professional software packages to generate these maps, but their deep interpretation seems to be still a problem to consider. The results obtained from the tests performed for two different websites using click, block, and heat map techniques enabled us to draw some interesting conclusions on user behavior. 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DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><City>Lancaster</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesPrintISSN>0302-9743</SubSeriesPrintISSN><SubSeriesElectronicISSN>1611-3349</SubSeriesElectronicISSN><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Randy</GivenName><FamilyName>Goebel</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Wolfgang</GivenName><FamilyName>Wahlster</FamilyName></EditorName></Editor><Affiliation ID="Aff16"><OrgName>University of Alberta</OrgName><OrgAddress><City>Edmonton</City><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>DFKI and University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-23938-0</BookID><BookTitle>Computational Collective Intelligence. Technologies and Applications</BookTitle><BookSubTitle>Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011, Proceedings, Part II</BookSubTitle><BookVolumeNumber>6923</BookVolumeNumber><BookSequenceNumber>6923</BookSequenceNumber><BookDOI>10.1007/978-3-642-23938-0</BookDOI><BookTitleID>273110</BookTitleID><BookPrintISBN>978-3-642-23937-3</BookPrintISBN><BookElectronicISBN>978-3-642-23938-0</BookElectronicISBN><BookChapterCount>51</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag GmbH Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I21017" Priority="1" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl. Internet)</BookSubject><BookSubject Code="I13022" Priority="3" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18030" Priority="4" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I16021" Priority="5" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Code="I18067" Priority="6" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Piotr</GivenName><FamilyName>Jędrzejowicz</FamilyName></EditorName><Contact><Email>pj@am.gdynia.pl</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Ngoc</GivenName><GivenName>Thanh</GivenName><FamilyName>Nguyen</FamilyName></EditorName><Contact><Email>ngoc-thanh.nguyen@pwr.edu.pl</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Kiem</GivenName><FamilyName>Hoang</FamilyName></EditorName><Contact><Email>kiemhv@uit.edu.vn</Email></Contact></Editor><Affiliation ID="Aff19"><OrgName>Gdynia Maritime University</OrgName><OrgAddress><Street>Morska 81-87</Street><Postcode>81-225</Postcode><City>Gdynia</City><Country>Poland</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>Wroclaw University of Technology</OrgName><OrgAddress><Street>Wyb. Wyspianskiego 27</Street><Postcode>50-370</Postcode><City>Wroclaw</City><Country>Poland</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>University of Information Technology Vietnam</OrgName><OrgAddress><Street>Km 20, Xa lo Ha Noi, Linh Trung, Thu Duc</Street><Postcode>848</Postcode><City>HCM City</City><Country>Vietnam</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part8"><PartInfo TocLevels="0"><PartID>8</PartID><PartSequenceNumber>8</PartSequenceNumber><PartTitle>Collective Intelligence in Web Systems - Web Systems Analysis</PartTitle><PartChapterCount>6</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computational Collective Intelligence</BookTitle></PartContext></PartInfo><Chapter ID="Chap42" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>42</ChapterID><ChapterDOI>10.1007/978-3-642-23938-0_42</ChapterDOI><ChapterSequenceNumber>42</ChapterSequenceNumber><ChapterTitle Language="En">Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations</ChapterTitle><ChapterFirstPage>415</ChapterFirstPage><ChapterLastPage>424</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>8</PartID><BookID>978-3-642-23938-0</BookID><BookTitle>Computational Collective Intelligence</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Kazimierz</GivenName><FamilyName>Choroś</FamilyName></AuthorName><Contact><Email>kazimierz.choros@pwr.wroc.pl</Email></Contact></Author><Affiliation ID="Aff22"><OrgDivision>Institute of Informatics</OrgDivision><OrgName>Wrocław University of Technology</OrgName><OrgAddress><Street>Wybrzeże Wyspiańskiego 27</Street><Postcode>50-370</Postcode><City>Wrocław</City><Country>Poland</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Usability is defined as the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of user. Usability of a website is a very crucial problem. For the Web pages usability is a set of layout, structure, arrangements, typography, and many other properties that makes a website simple and easy to use. We are using many techniques for the evaluation of the websites. One of the new methods is based on the analysis of click, block, and heat maps mainly leading to the detection of these parts of the website which are not used or where the user is intuitively expecting a link to the next part of the site visited. Nowadays, there are many professional software packages to generate these maps, but their deep interpretation seems to be still a problem to consider. The results obtained from the tests performed for two different websites using click, block, and heat map techniques enabled us to draw some interesting conclusions on user behavior. Another problem discussed is to what extent the observations and correlations detected for one website, with the population of dominant visitors relatively well predictable can be applied to another website with unknown population of visitors.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>usability evaluation</Keyword><Keyword>click maps</Keyword><Keyword>block maps</Keyword><Keyword>heat maps</Keyword><Keyword>website pages</Keyword><Keyword>Web designing</Keyword><Keyword>usability in practice</Keyword><Keyword>website visitor population</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Further Tests with Click, Block, and Heat Maps Applied to Website Evaluations</title></titleInfo><name type="personal"><namePart type="given">Kazimierz</namePart><namePart type="family">Choroś</namePart><affiliation>Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland</affiliation><affiliation>E-mail: kazimierz.choros@pwr.wroc.pl</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [research-article]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: Usability is defined as the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of user. Usability of a website is a very crucial problem. For the Web pages usability is a set of layout, structure, arrangements, typography, and many other properties that makes a website simple and easy to use. We are using many techniques for the evaluation of the websites. One of the new methods is based on the analysis of click, block, and heat maps mainly leading to the detection of these parts of the website which are not used or where the user is intuitively expecting a link to the next part of the site visited. Nowadays, there are many professional software packages to generate these maps, but their deep interpretation seems to be still a problem to consider. The results obtained from the tests performed for two different websites using click, block, and heat map techniques enabled us to draw some interesting conclusions on user behavior. Another problem discussed is to what extent the observations and correlations detected for one website, with the population of dominant visitors relatively well predictable can be applied to another website with unknown population of visitors.</abstract><relatedItem type="host"><titleInfo><title>Computational Collective Intelligence. Technologies and Applications</title><subTitle>Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Piotr</namePart><namePart type="family">Jędrzejowicz</namePart><affiliation>Gdynia Maritime University, Morska 81-87, 81-225, Gdynia, Poland</affiliation><affiliation>E-mail: pj@am.gdynia.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ngoc</namePart><namePart type="given">Thanh</namePart><namePart type="family">Nguyen</namePart><affiliation>Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland</affiliation><affiliation>E-mail: ngoc-thanh.nguyen@pwr.edu.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kiem</namePart><namePart type="family">Hoang</namePart><affiliation>University of Information Technology Vietnam, Km 20, Xa lo Ha Noi, Linh Trung, Thu Duc, 848, HCM City, Vietnam</affiliation><affiliation>E-mail: kiemhv@uit.edu.vn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl. Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic></subject><identifier type="DOI">10.1007/978-3-642-23938-0</identifier><identifier type="ISBN">978-3-642-23937-3</identifier><identifier type="eISBN">978-3-642-23938-0</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">273110</identifier><identifier type="BookID">978-3-642-23938-0</identifier><identifier type="BookChapterCount">51</identifier><identifier type="BookVolumeNumber">6923</identifier><identifier type="BookSequenceNumber">6923</identifier><identifier type="PartChapterCount">6</identifier><part><date>2011</date><detail type="part"><title>Collective Intelligence in Web Systems - Web Systems Analysis</title></detail><detail type="volume"><number>6923</number><caption>vol.</caption></detail><extent unit="pages"><start>415</start><end>424</end></extent></part><recordInfo><recordOrigin>Springer-Verlag GmbH Berlin Heidelberg, 2011</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart 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type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, 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type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Randy</namePart><namePart type="family">Goebel</namePart><affiliation>University of Alberta, Edmonton, Canada</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><affiliation>University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wolfgang</namePart><namePart type="family">Wahlster</namePart><affiliation>DFKI and University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Piotr</namePart><namePart type="family">Jędrzejowicz</namePart><affiliation>Gdynia Maritime University, Morska 81-87, 81-225, Gdynia, Poland</affiliation><affiliation>E-mail: pj@am.gdynia.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ngoc</namePart><namePart type="given">Thanh</namePart><namePart type="family">Nguyen</namePart><affiliation>Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland</affiliation><affiliation>E-mail: ngoc-thanh.nguyen@pwr.edu.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kiem</namePart><namePart type="family">Hoang</namePart><affiliation>University of Information Technology Vietnam, Km 20, Xa lo Ha Noi, Linh Trung, Thu Duc, 848, HCM City, Vietnam</affiliation><affiliation>E-mail: kiemhv@uit.edu.vn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag GmbH Berlin Heidelberg, 2011</recordOrigin></recordInfo></relatedItem><identifier type="istex">662F1FA5AA503942D2A6AF001120A98AE74A413A</identifier><identifier type="DOI">10.1007/978-3-642-23938-0_42</identifier><identifier type="ChapterID">Chap42</identifier><identifier type="ChapterID">42</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag GmbH Berlin Heidelberg</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2011</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/662F1FA5AA503942D2A6AF001120A98AE74A413A/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">The role played by perceived usability, satisfaction and consumer trust on website loyalty</title><author><persName><forename type="first">C</forename><surname>Flavian</surname></persName></author><author><persName><forename type="first">M</forename><surname>Guinaliu</surname></persName></author><author><persName><forename type="first">R</forename><surname>Gurrea</surname></persName></author></analytic><monogr><title level="j">Information & Management</title><imprint><biblScope unit="volume">43</biblScope><biblScope unit="page" from="1" to="14"></biblScope><date type="published" when="2006"></date></imprint></monogr></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">Web site usability, design, and performance metrics</title><author><persName><forename type="first">J</forename><forename type="middle">W</forename><surname>Palmer</surname></persName></author></analytic><monogr><title level="j">Information Systems Research</title><imprint><biblScope unit="volume">13</biblScope><biblScope unit="page" from="151" to="167"></biblScope><date type="published" when="2002"></date></imprint></monogr></biblStruct><biblStruct xml:id="b2"><analytic><title level="a" type="main">The conceptualization and empirical validation of web site user satisfaction</title><author><persName><forename type="first">S</forename><surname>Muylle</surname></persName></author><author><persName><forename type="first">R</forename><surname>Moenaert</surname></persName></author><author><persName><forename type="first">M</forename><surname>Despontin</surname></persName></author></analytic><monogr><title level="j">Information & Management</title><imprint><biblScope unit="volume">41</biblScope><biblScope unit="page" from="543" to="560"></biblScope><date type="published" when="2004"></date></imprint></monogr></biblStruct><biblStruct xml:id="b3"><monogr><title level="m" type="main">Usability for the Web: Designing Web Sites that Work</title><author><persName><forename type="first">T</forename><surname>Brinck</surname></persName></author><author><persName><forename type="first">D</forename><surname>Gergle</surname></persName></author><author><persName><forename type="first">S</forename><forename type="middle">D</forename><surname>Wood</surname></persName></author><imprint><date type="published" when="2002"></date><publisher>Morgan Kaufmann</publisher><pubPlace>San Francisco</pubPlace></imprint></monogr></biblStruct><biblStruct xml:id="b4"><monogr><title level="m" type="main">Designing Web Usability: The Practice of Simplicity</title><author><persName><forename type="first">J</forename><surname>Nielsen</surname></persName></author><imprint><date type="published" when="2000"></date><publisher>New Riders Publishing</publisher><pubPlace>Indianapolis</pubPlace></imprint></monogr></biblStruct><biblStruct xml:id="b5"><monogr><title></title><author><persName><forename type="first">J</forename><surname>Nielsen</surname></persName></author><author><persName><forename type="first">H</forename><surname>Loranger</surname></persName></author><imprint><date type="published" when="2006"></date><publisher>Prioritizing Web Usability. 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