Expertise, task complexity, and artificial intelligence: A conceptual framework

Relationships between users' expertise, task complexity of information system use, artificial intelligence, and information service mission provide the basis for a conceptual framework for considering the role that artificial intelligence might, in principle, play in information systems. Users&...

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Vydáno v:Journal of the American Society for Information Science Ročník 42; číslo 9; s. 635 - 643
Hlavní autoři: Buckland, Michael K., Florian, Doris
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington, D.C Wiley Subscription Services, Inc., A Wiley Company 01.10.1991
John Wiley & Sons
American Documentation Institute
Wiley Periodicals Inc
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ISSN:0002-8231, 1097-4571
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Shrnutí:Relationships between users' expertise, task complexity of information system use, artificial intelligence, and information service mission provide the basis for a conceptual framework for considering the role that artificial intelligence might, in principle, play in information systems. Users' expertise, task complexity, and information system service mission are multidimensional constructs. Increasing users' expertise and/or reducing task complexity are alternatives to or complements of the use of artificial intelligence. Intelligent systems and intelligent users each need both cognitive and conceptual models. System intelligence can be assessed by the ability to discriminate reliably between different situations and is independent of whether a system is “computer‐delegated” or “computer‐assisted.” “Computer‐assisted” systems are likely to be more intelligent and more effective. Four examples of application illustrate these conclusions. © 1991 John Wiley & Sons, Inc.
Bibliografie:istex:BF91FCC6F51E97010820382E6897F4F1D72E183F
ark:/67375/WNG-27PV0JX0-1
ArticleID:ASI2
ObjectType-Article-2
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ISSN:0002-8231
1097-4571
DOI:10.1002/(SICI)1097-4571(199110)42:9<635::AID-ASI2>3.0.CO;2-L