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 contribution

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
CountryFrance
CityParis
Period5/07/058/07/06

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