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Conceptual puzzle pieces: An image schema experiment on object conceptualisation
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy.ORCID iD: 0000-0001-8308-8906
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy.
2019 (English)In: Modeling and Using Context: 11th International and Interdisciplinary Conference, CONTEXT 2019, Trento, Italy, November 20–22, 2019, Proceedings / [ed] Gábor Bella & Paolo Bouquet, Cham: Springer, 2019, p. 98-111Conference paper, Published paper (Refereed)
Abstract [en]

Image schemas were introduced as mental generalisations learned from the sensorimotor experiences in infancy that in adulthood shape language formation and conceptualisations. So far, little empirical research has been devoted to investigate to which degree image schemas are involved in object conceptualisation more concretely. To address this, this experimental study investigates the relationship between abstract image schemas and their involvement in conceptualisations of common, everyday objects. The experimental set-up asks participants to describe objects using abstract representations of image schemas. The results from the study support the claim that image-schematic thinking is prevalent in the conceptualisation of objects, thus providing empirical evidence for the idea that image schemas can serve as conceptual building blocks for the meaning of objects. 

Place, publisher, year, edition, pages
Cham: Springer, 2019. p. 98-111
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11939
Keywords [en]
Affordances, Common sense, Conceptual structure, Image schemas, Computer science, Computers, Abstract representation, Building blockes, Conceptual structures, Empirical research, Experimental set up, Artificial intelligence
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-65643DOI: 10.1007/978-3-030-34974-5_9Scopus ID: 2-s2.0-85076264620ISBN: 978-3-030-34973-8 (print)ISBN: 978-3-030-34974-5 (electronic)OAI: oai:DiVA.org:hj-65643DiVA, id: diva2:1884503
Conference
11th International and Interdisciplinary Conference, CONTEXT 2019, Trento, Italy, November 20–22, 2019
Available from: 2024-07-17 Created: 2024-07-17 Last updated: 2024-07-17Bibliographically approved

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Hedblom, Maria M.

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