Title
Franchise Experts
Keywords
accelerated learning; franchise experts; human-computer interaction; intelligent systems; knowledge-based organizations; mentoring
Abstract
When expert systems as a field or paradigm was morphing into intelligent systems, it was recognized that cognitive task analysis was critical in the design of new technologies. Furthermore, as a part of cognitive task analysis, it is crucial to conduct some form of proficiency scale to identify the experts whose knowledge and skill might be revealed and specified in the creation of reasoning and knowledge-based systems. This article advances the claim that identifying and studying franchise experts individuals whose performance surpasses that of their best teammates and whose presence and contributions are identified with the spirit of the organizationcan contribute to the design of intelligent systems. Of further interest is the possibility that the knowledge elicited from such experts might be invaluable for attempts at accelerated learning. © 2011 IEEE.
Publication Date
9-1-2011
Publication Title
IEEE Intelligent Systems
Volume
26
Issue
5
Number of Pages
72-77
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MIS.2011.85
Copyright Status
Unknown
Socpus ID
80053975008 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80053975008
STARS Citation
Hoffman, Robert R.; Ziebell, David; Feltovich, Paul J.; Moon, Brian M.; and Fiore, Steven F., "Franchise Experts" (2011). Scopus Export 2010-2014. 2778.
https://stars.library.ucf.edu/scopus2010/2778