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William J Clancey

Biographic Data

ID123841
NAMEWilliam J Clancey
GIVEN NAMESWilliam J
FAMILY NAMEClancey
SIGNATURECLANCEY W J
AFFILIATIONSAmes Research Center
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Psychology and AI at a Crossroads: How Might Complex Systems Explain Themselves

    Robert R Hoffman, Timothy Miller et al.•ARTICLE•The American Journal of Psychology•2022

    A challenge in building useful artificial intelligence (AI) systems is that people need to understand how they work in order to achieve appropriate trust and reliance. This has become a topic of considerable interest, manifested as a surge of research on Explainable AI (XAI). Much of the research assumes a model in which the AI automatically generates an explanation and presents it to the user, whose understanding of the explanation leads to bett…

  • The Cambridge Handbook of Expertise and Expert Performance

    Open Access•Aaron Kozbelt, Mark Williams et al.•BOOK•Cambridge Handbook of Expertise…•2006

    This book was the first handbook where the world's foremost 'experts on expertise' reviewed our scientific knowledge on expertise and expert performance and how experts may differ from non-experts in terms of their development, training, reasoning, knowledge, social support, and innate talent. Methods are described for the study of experts' knowledge and their performance of representative tasks from their domain of expertise. The development of …

  • Field Science Ethnography: Methods for Systematic Observation on an Arctic Expedition

    Open Access•William J Clancey•ARTICLE•CAM•2001•Cited by: 1•References: 10

    The Haughton-Mars expedition is a multidisciplinary project exploring an impact crater in an extreme environment to determine how people might live and work on Mars. This expedition to the Canadian High Arctic seeks to understand and field test Mars facilities, crew roles, operations, and computer tools. The author combines an ethnographic approach to establish a baseline understanding of how scientists prefer to live and work when relatively une…

  • Field Science Ethnography: Methods for Systematic Observation on an Arctic Expedition

    Open Access•William J Clancey•ARTICLE•CAM•2001•Cited by: 1•References: 10

    The Haughton-Mars expedition is a multidisciplinary project exploring an impact crater in an extreme environment to determine how people might live and work on Mars. This expedition to the Canadian High Arctic seeks to understand and field test Mars facilities, crew roles, operations, and computer tools. The author combines an ethnographic approach to establish a baseline understanding of how scientists prefer to live and work when relatively une…

  • Field Science Ethnography: Methods for Systematic Observation on an Arctic Expedition

    Open Access•William J Clancey•ARTICLE•CAM•2001•Cited by: 1•References: 10

    The Haughton-Mars expedition is a multidisciplinary project exploring an impact crater in an extreme environment to determine how people might live and work on Mars. This expedition to the Canadian High Arctic seeks to understand and field test Mars facilities, crew roles, operations, and computer tools. The author combines an ethnographic approach to establish a baseline understanding of how scientists prefer to live and work when relatively une…

  • The Cambridge Handbook of Expertise and Expert Performance

    Open Access•Aaron Kozbelt, Mark Williams et al.•BOOK•Cambridge Handbook of Expertise…•2006

    This book was the first handbook where the world's foremost 'experts on expertise' reviewed our scientific knowledge on expertise and expert performance and how experts may differ from non-experts in terms of their development, training, reasoning, knowledge, social support, and innate talent. Methods are described for the study of experts' knowledge and their performance of representative tasks from their domain of expertise. The development of …

  • Psychology and AI at a Crossroads: How Might Complex Systems Explain Themselves

    Robert R Hoffman, Timothy Miller et al.•ARTICLE•The American Journal of Psychology•2022

    A challenge in building useful artificial intelligence (AI) systems is that people need to understand how they work in order to achieve appropriate trust and reliance. This has become a topic of considerable interest, manifested as a surge of research on Explainable AI (XAI). Much of the research assumes a model in which the AI automatically generates an explanation and presents it to the user, whose understanding of the explanation leads to bett…

Computer Science (2 works) · Data science (2 works) · Psychology (2 works) · Ability (1 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Astrobiology (1 works) · Cartography (1 works) · Citizen journalism (1 works) · Clinical Reasoning and Diagnostic Skills (1 works)

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