Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Shedding Light on “Knowledge”

Identifying and Analyzing Visual Metaphors in Drawings

Bibliographic Data

ID20414010
AuthorsTracey Bowen (0000-0002-5062-1994, University of Toronto Mississauga, corresponding author), M Max Evans (0000-0003-2163-3205, McGill University)
Year2019
Volume34
Issue4
Pages243-257
Publication date2019-10-02
Open AccessNo
TypeARTICLE
VenueMetaphor and Symbol (JOURNAL)
Journal identifiersISSN: 1092-6488 • E-ISSN: 1532-7868
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10926488.2019.1683958
OpenAlexW2982579171
LanguageEN
Citations received2
References cited13

Drawing extends the capacity to communicate, since it allows individuals to use graphic objects and symbols to articulate complex ideas not easily communicated using words alone. Similarly, theorists argue that metaphors are commonly used to communicate complex and abstract concepts. Though, the interpretation of visual metaphors has been studied in relation to film and advertising, referencing common metaphors used in language, research has yet to examine how individuals construct their own visual metaphors and whether existing language-based metaphors are used, as a basis. Studying the underlying structure of drawings, using organizing frameworks and mapping systems, provides insight into how individuals use metaphors to communicate and the interdependent relationships between text and image.This study applies conceptual metaphor theory and frame semantics to identify and map visual metaphors in drawings of Knowledge. Three research questions guided the study: How are visual metaphors [of Knowledge] inferred in participant drawings using existing language-based metaphors?; Can language-based metaphor ontologies and semantic systems be used for interpreting visual metaphors?; and How are inferences found in language-based metaphors evident in the design of visual metaphors?Data were collected as part of the study: What does knowledge look like?, where participants (N = 404) were asked to draw what they thought Knowledge looks like to them, and explain why they drew what they did in writing. Five example cases are presented in the results: 1) the Illuminated Light Bulb, 2) the Electric Brain, 3) the Brain as a Container for Knowledge, 4) Knowledge (Ideas) as Food, and 5) the Open Mind. The findings present three notable conclusions: the combination of multiple metaphors within a single drawing; the use of a language-based metaphor ontology (i.e., Master Metaphor List) and frame semantics as analytic tools to examine visual metaphors; and the potential for additional language-based metaphor categories to emerge

Cognitive psychology · Cognitive science · Linguistics · Literal and figurative language · Metaphor · Natural language processing · Computer Science · Creativity in Education and Neuroscience · Design Education and Practice · Language, Metaphor, and Cognition · Psychology

  • Visualising the Fluidity of Multilingual and Intercultural Identities of Australian University Students Studying Abroad in China

    Open Access•Peihua Tong, Irene Shidong An et al.•Education Sciences•2025

  • Coronavirus, Demons, and War

    Open Access•Debing Feng, Xiangxiang Wu•SAGE Open•2022

  • Metaphors We Live By

    George Lakoff, Mark Johnson et al.•Metaphors we live by•2003

  • Image Metaphors

    George Lakoff•Metaphor and Symbolic Activity•1987

  • Understanding visual metaphor

    Open Access•Elisabeth El Refaie•Visual Communication•2003

  • What does knowledge look like? Interpreting diagrams as contemporary hieroglyphics

    Open Access•Tracey Bowen, M Max Evans•Visual Communication•2018

  • Primary metaphors and monomodal visual metaphors

    Open Access•María J Ortiz•Journal of Pragmatics•2011

Citations per year0.5
Citation span2022 - 2025 (4)
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae