Expertise, task complexity, and artificial intelligence: A conceptual framework
Michael K. Buckland and
Doris Florian
Journal of the American Society for Information Science, 1991, vol. 42, issue 9, 635-643
Abstract:
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.
Date: 1991
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(199110)42:93.0.CO;2-L
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:42:y:1991:i:9:p:635-643
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571
Access Statistics for this article
More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().