Context-dependent and epistemic uses of attention for perceptual- demonstrative identification

Nicolas J. Bullot*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Object identification via a perceptual-demonstrative mode of presentation has been studied in cognitive science as a particularly direct and context-dependent means of identifying objects. Several recent works in cognitive science have attempted to clarify the relation between attention, demonstrative identification and context exploration. Assuming a distinction between '(language-based) demonstrative reference' and 'percepiualdemonstrative identification', this article aims at specifying the role of attention in the latter and in the linking of conceptual and non conceptual contents while exploring a spatial context. First, the analysis presents an argument to the effect that selection by overt and covert attention is needed for perceptual-demonstrative identification since overt/covert selective attention is required for the situated cognitive access to the target object. Second, it describes a hypothesis that makes explicit some of the roles of attention: the hypothesis of identification by epistemic attention via the control of perceptual routines.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    EditorsAnind Dey, Boicho Kokinov, David Leake, Roy Turner
    Pages69-82
    Number of pages14
    Volume3554 LNAI
    Publication statusPublished - 2005
    Event5th International and Interdisciplinary Conference CONTEXT 2005 - Modeling and Using Context - Paris, France
    Duration: 5 Jul 20058 Jul 2006

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3554 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other5th International and Interdisciplinary Conference CONTEXT 2005 - Modeling and Using Context
    Country/TerritoryFrance
    CityParis
    Period5/07/058/07/06

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