Intelligent and Self-Adaptive Interface
Identifieur interne : 000412 ( Istex/Corpus ); précédent : 000411; suivant : 000413Intelligent and Self-Adaptive Interface
Auteurs : Claude Duvallet ; Hadhoum Boukachour ; Alain CardonSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: The information systems for decision-making must provide basic elements to the decision-maker in a synthetic and simple way. So, it is necessary to build Computer Human Interface (CHI) adapted to different user’s perceptions as well as possible. Therefore, the necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be more and more necessary. An essential and necessary characteristic of this kind of CHI is the capacity to adapt it to the environment and to the user’s behavior, and to permit the addition of components without putting back in question the design of this CHI. In order to have these characteristics in an application, a modelling using intelligent agents seems to be well adapted because it permits to take into account the complexe interaction present in the CHI.
Url:
DOI: 10.1007/3-540-45049-1_86
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ISTEX:1E30765D0AE8DC8335AC52CECF0899CFBA3C364BLe document en format XML
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So, it is necessary to build Computer Human Interface (CHI) adapted to different user’s perceptions as well as possible. Therefore, the necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be more and more necessary. An essential and necessary characteristic of this kind of CHI is the capacity to adapt it to the environment and to the user’s behavior, and to permit the addition of components without putting back in question the design of this CHI. In order to have these characteristics in an application, a modelling using intelligent agents seems to be well adapted because it permits to take into account the complexe interaction present in the CHI.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Claude Duvallet</name><affiliations><json:string>Faculté des Sciences et Techniques, LIH, 25, Rue Philippe Lebon, 76058, Le Havre Cedex, France</json:string><json:string>E-mail: Claude.Duvallet@univ-lehavre.fr</json:string></affiliations></json:item><json:item><name>Hadhoum Boukachour</name><affiliations><json:string>LIH, Institut Universitaire de Technologie, Place Robert Schuman, 76610, Le Havre Cedex, France</json:string><json:string>E-mail: Hadhoum.Boukachour@iut.univ-lehavre.fr</json:string></affiliations></json:item><json:item><name>Alain Cardon</name><affiliations><json:string>LIH, Institut Universitaire de Technologie, Place Robert Schuman, 76610, Le Havre Cedex, France</json:string><json:string>E-mail: Alain.Cardon@iut.univ-lehavre.fr</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: The information systems for decision-making must provide basic elements to the decision-maker in a synthetic and simple way. 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So, it is necessary to build Computer Human Interface (CHI) adapted to different user’s perceptions as well as possible. Therefore, the necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be more and more necessary. An essential and necessary characteristic of this kind of CHI is the capacity to adapt it to the environment and to the user’s behavior, and to permit the addition of components without putting back in question the design of this CHI. 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Methodologies and Approaches</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Claude</GivenName><FamilyName>Duvallet</FamilyName></AuthorName><Contact><Email>Claude.Duvallet@univ-lehavre.fr</Email></Contact></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Hadhoum</GivenName><FamilyName>Boukachour</FamilyName></AuthorName><Contact><Email>Hadhoum.Boukachour@iut.univ-lehavre.fr</Email></Contact></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Alain</GivenName><FamilyName>Cardon</FamilyName></AuthorName><Contact><Email>Alain.Cardon@iut.univ-lehavre.fr</Email></Contact></Author><Affiliation ID="Aff6"><OrgDivision>Faculté des Sciences et Techniques</OrgDivision><OrgName>LIH</OrgName><OrgAddress><Street>25, Rue Philippe Lebon</Street><Postcode>76058</Postcode><City>Le Havre Cedex</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>LIH, Institut Universitaire de Technologie</OrgName><OrgAddress><Street>Place Robert Schuman</Street><Postcode>76610</Postcode><City>Le Havre Cedex</City><Country>France</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The information systems for decision-making must provide basic elements to the decision-maker in a synthetic and simple way. So, it is necessary to build Computer Human Interface (CHI) adapted to different user’s perceptions as well as possible. Therefore, the necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be more and more necessary. An essential and necessary characteristic of this kind of CHI is the capacity to adapt it to the environment and to the user’s behavior, and to permit the addition of components without putting back in question the design of this CHI. In order to have these characteristics in an application, a modelling using intelligent agents seems to be well adapted because it permits to take into account the complexe interaction present in the CHI.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>multiagents systems</Keyword><Keyword>adaptive systems</Keyword><Keyword>computer human interface</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book><SubSeries><SubSeriesInfo><SubSeriesID>1244</SubSeriesID><SubSeriesTitle Language="En">Lecture Notes in Artificial Intelligence</SubSeriesTitle><SubSeriesSubTitle Language="En">Subseries of Lecture Notes in Computer Science</SubSeriesSubTitle></SubSeriesInfo><SubSeriesHeader><EditorGroup><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jaime</GivenName><GivenName>G.</GivenName><FamilyName>Carbonell</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Jörg</GivenName><FamilyName>Siekmann</FamilyName></EditorName></Editor><Affiliation ID="Aff4"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>University of Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SubSeriesHeader></SubSeries></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Intelligent and Self-Adaptive Interface</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Intelligent and Self-Adaptive Interface</title></titleInfo><name type="personal"><namePart type="given">Claude</namePart><namePart type="family">Duvallet</namePart><affiliation>Faculté des Sciences et Techniques, LIH, 25, Rue Philippe Lebon, 76058, Le Havre Cedex, France</affiliation><affiliation>E-mail: Claude.Duvallet@univ-lehavre.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hadhoum</namePart><namePart type="family">Boukachour</namePart><affiliation>LIH, Institut Universitaire de Technologie, Place Robert Schuman, 76610, Le Havre Cedex, France</affiliation><affiliation>E-mail: Hadhoum.Boukachour@iut.univ-lehavre.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alain</namePart><namePart type="family">Cardon</namePart><affiliation>LIH, Institut Universitaire de Technologie, Place Robert Schuman, 76610, Le Havre Cedex, France</affiliation><affiliation>E-mail: Alain.Cardon@iut.univ-lehavre.fr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2003-04-18</dateIssued><copyrightDate encoding="w3cdtf">2000</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: The information systems for decision-making must provide basic elements to the decision-maker in a synthetic and simple way. So, it is necessary to build Computer Human Interface (CHI) adapted to different user’s perceptions as well as possible. Therefore, the necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be more and more necessary. An essential and necessary characteristic of this kind of CHI is the capacity to adapt it to the environment and to the user’s behavior, and to permit the addition of components without putting back in question the design of this CHI. In order to have these characteristics in an application, a modelling using intelligent agents seems to be well adapted because it permits to take into account the complexe interaction present in the CHI.</abstract><relatedItem type="host"><titleInfo><title>Intelligent Problem Solving. 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