On the role of perceptual similarity in producing visual
metaphors
We explore here the role of perceptual
similarity in producing visual metaphors. In the first part of the
study, we characterize visual metaphors and show how perceptual
similarity is used in various kinds of visual metaphors appearing in
advertisements. In the second part, we present two studies that show
that perceptual similarity is intuitively recognized, and
shape-based perceptual similarity is preferred for pictorial
metaphors. Finally, in the third part, we propose a system to
generate visual metaphors based on algorithmic perceptual
similarity.
Article outline
- 1.Introduction
- 2.Part 1: Visual metaphors and perceptual similarity
- 2.1Introducing visual metaphors
- 2.2
Production of visual metaphors
- 2.3Introducing perceptual similarity
- 2.4Perceptual similarity in visual metaphors
- 2.4.1Perceptual similarity in juxtaposed visual
metaphors
- 2.4.2Perceptual similarity in homospatial visual
metaphors
- 2.5
Visual metaphors vs. verbal metaphors
- 3.Part 2: Two empirical studies on the role of perceptual
similarity
- 3.1Study 1: Judgement of perceptual similarity
- 3.1.1Procedure and task
- 3.1.2Results
- 3.1.3
Discussion
- 3.2Study 2: Shape-based perceptual similarity in the production of
visual metaphors
- 3.2.1Preparation of stimulus material
- 3.2.2Condition 1
- 3.2.2.1Participants
- 3.2.2.2Procedure and task
- 3.2.3Condition 2
- 3.2.3.1Participants
- 3.2.3.2
Procedure and task
- 3.2.4Results
- 3.2.5Discussion
- 4.Part 3: A system to generate perceptually similar images for an
intended metaphor
- 4.1Design approach
- 4.2System architecture
- 4.3Perceptual similarity module
- 4.4Conceptual similarity module
- 4.5Aptness module, context suggestion and integration
tool
- 4.6Status and evaluation of the system
- 4.7Discussion
- 5.Conclusions
-
References
References (43)
References
Benedek, M., Beaty, R., Jauk, E., Koschutnig, K., Fink, A., Silvia, P. J., & Neubauer, A. C. (2014). Creating
metaphors: The neural basis of figurative language
production. NeuroImage, 90, 99–106.
Bhatt, R., Ojha, A., & Indurkhya, B. (2011). Interpretation
of metaphors with perceptual features using
Wordnet. In International
Conference on Engineering Psychology and Cognitive
Ergonomics (pp. 21–27). Berlin: Springer.
Bowdle, B. F., & Gentner, D. (2005). The
career of
metaphor. Psychological
Review, 112(1), 193.
Carroll, N. (1994). Visual
metaphor. In Aspects of
metaphor (pp. 189–218). Dordrecht: Springer.
Carston, R. (2010). XIII
– Metaphor: Ad hoc concepts, literal meaning and mental
images. In
Proceedings of the Aristotelian
Society (Vol.
110, No.
3, pp. 295–321). Oxford, UK: Oxford University Press.
Catalano, T., & Waugh, L. R. (2013). The
language of money: How verbal and visual metonymy shapes
public opinion about financial
events. International Journal
of Language
Studies, 7, 31–60.
Chiappe, D. L., & Chiappe, P. (2007). The
role of working memory in metaphor production and
comprehension. Journal of
Memory and
Language, 56(2), 172–188.
Cienki, A., & Müller, C. (Eds.). (2008). Metaphor
and gesture (Vol.
3). Amsterdam: John Benjamins Publishing.
Davidson, D. (1978). What
metaphors mean. Critical
Inquiry, 5(1), 31–47.
Forceville, C. (1996). Pictorial
metaphor in
advertising. London: Psychology Press.
Forceville, C. (2002). Pictorial
metaphor in advertising. New York: Routledge.
Harmon, S. (2015). FIGURE8:
A novel system for generating and evaluating figurative
language. In
Sixth International
Conference on Computational
Creativity
(pp. 71–77).
Hausman, C. R. (1989). Metaphor
and art: Interactionism and reference in the verbal and
nonverbal arts. CUP Archive.
Indurkhya, B., & Ojha, A. (2013). An
empirical study on the role of perceptual similarity in
visual metaphors and
creativity. Metaphor and
Symbol, 28(4), 233–253.
Indurkhya, B., & Ojha, A. (2017). Interpreting
visual metaphors: asymmetry and
reversibility. Poetics
Today, 38(1), 93–121.
Johnson, M. G., & Malgady, R. G. (1980). Toward
a perceptual theory of metaphoric
comprehension. Cognition and
Figurative
Language, 259–282.
Kahneman, D. (2011). Thinking,
fast and slow. New York : Farrar, Straus and Giroux.
Katz, A. N. (1989). On
choosing the vehicles of metaphors: Referential
concreteness, semantic distances, and individual
differences. Journal of
Memory and
Language, 28(4), 486–499.
Kennedy, J. M. (1982). Metaphor
in
pictures. Perception, 11(5), 589–605.
Keysar, B., & Glucksberg, S. (1992). Metaphor
and communication. Poetics
Today, 633–658.
Kiyoki, Y., Kitagawa, T., & Hayama, T. (1994). A
metadatabase system for semantic image search by a
mathematical model of
meaning. ACM Sigmod
Record, 23(4), 34–41.
Lakoff, G. J. (1987). Image
metaphors. Metaphor and
Symbol, 2(3), 219–222.
Lakoff, G. J., & Johnson, M. (1980). Metaphors
we live
by. Chicago: University of Chicago Press.
Ojha, A. (2013).
An
experimental study on visual
metaphor
. PhD
Dissertation. International Institute of Information Technology, Hyderabad, India.
Ojha, A., Ervas, F., Gola, E., & Indurkhya, B. (2019). Similarities
and differences between verbal and visual metaphor
processing: An EEG
study. Multimodal
Communication, 8(2), 1–14.
Rasmussen, R. V. (1991). A
communication model based on the conduit metaphor: What do
we know and what do we take for
granted?. Management
Communication
Quarterly, 4(3), 363–374.
El Refaie, E. (2003). Understanding
visual metaphor: The example of newspaper
cartoons. Visual
Communication, 2(1), 75–95.
Schilperoord, J., Maes, A., & Ferdinandusse, H. (2009). Perceptual
and conceptual visual rhetoric: The case of symmetric object
alignment. Metaphor and
Symbol, 24(3), 155–173.
Tandon, P., Nigam, P., Pudi, V., & Jawahar, C. V. (2008). FISH:
A practical system for fast interactive image search in huge
databases. In
Proceedings
of the 2008 international conference on Content-based
image and video
retrieval
(pp. 369–378). ACM.
Tversky, B. (1997). Cognitive
principles of graphic
displays. In
AAAI
1997 fall symposium on reasoning with diagrammatic
representations
(pp. 8–10).
Uno, R, Matsuda, E., & Indurkhya, B. (2019). Analyzing
visual metaphor and metonymy to understand creativity in
fashion. Frontiers in
Psychology, 9, 2527.
Van Weelden, L., Maes, A., Schilperoord, J., & Cozijn, R. (2011). The
role of shape in comparing objects: How perceptual
similarity may affect visual metaphor
processing. Metaphor and
Symbol, 26(4), 272–298.
Van Weelden, L. (2013). Metaphor in good shape (Doctoral dissertation, Tilburg University).
Ojha, A., Gola, E., & Indurkhya, B. (2018). Are hybrid pictorial metaphors perceived more strongly than pictorial similes?. Metaphor and Symbol, 33(4), 253–266.
Van Weelden, L., Schilperoord, J., & Maes, A. (2017). Different
but the same: Mental representations of negated
similes. Metaphor and
Symbol, 32(1), 19–29.
Veale, T. (2013). A
service-oriented architecture for computational
creativity. Journal of
Computing Science and
Engineering, 7(3), 159–167.
Veale, T., & Hao, Y. (2007). Comprehending
and generating apt metaphors: A web-driven, case-based
approach to figurative
language. In
AAAI
(Vol.
2007, pp. 1471–1476).
Veale, T., & Hao, Y. (2008). A
fluid knowledge representation for understanding and
generating creative
metaphors. In
Proceedings of the 22nd
International Conference on Computational
Linguistics-Volume
1
(pp. 945–952). Association
for Computational
Linguistics.
Whittock, T. (1990). Metaphor
and
film. Cambridge: Cambridge University Press.
Young, L. F. (1987). The
metaphor machine: A database method for creativity
support. Decision Support
Systems, 3(4), 309–317.
You, W., & Zhou, C. L. (2007). Chinese
metaphor generation model and its implementation based on
statistical approach
[J]. Mind and
Computation, 1.
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