VISUALISATIONS, CONVENTIONS, CREATIVITYGILLES LIPOVETSKY. EXPRESSION CONTENT Fruit Temptation...

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VISUALISATIONS, CONVENTIONS, CREATIVITY A semiotic look on infographics and dataviz

Transcript of VISUALISATIONS, CONVENTIONS, CREATIVITYGILLES LIPOVETSKY. EXPRESSION CONTENT Fruit Temptation...

Page 1: VISUALISATIONS, CONVENTIONS, CREATIVITYGILLES LIPOVETSKY. EXPRESSION CONTENT Fruit Temptation Pureness Innovation . AESTHETIC EFFECT = correspondence between content and expression

VISUALISATIONS, CONVENTIONS, CREATIVITYA semiotic look on infographics and dataviz

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BLACK HOLES AND MORE

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUAL

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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Semiotics is a theory of the lie

UMBERTOECO

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Semiotics is in principle the discipline studying everything that can be used in order to lie.

If something cannot be used to tell a lie, conversely it cannot be used to tell the truth: it cannot in fact be used "to tell" at all.

Umberto Eco, A Theory of Semiotics, 1976

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A sign is something that is in place of something that is not there

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RENÉ MAGRITTE

LA TRAHISONDES IMAGES

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUALS

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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Demystifying = showing the constructive nature of what we are used to consider natural

ROLANDBARTHES

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NEUROCOGNITIVE HYPEBiological-based meanings and behaviours

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linear vs radial2

bullet vs gauge1

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CULTURE OR NATURE?

CULTURE AND NATURE

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Relational map VS Object search3

Context-sensitivity VS Selective attention

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Culture and nature: does language shape reality? 5

LERABORODITSKY

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUALS

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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We are used to think that IMAGES DO NOT LIE

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The black hole paradox

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Is this image “true”?

IT IS TRUE, BUT ALWAYS CONVENTIONAL

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUALS

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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DATA + VISUALS=

TRUTH AND RELIABILITY

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DATA SUPREMACY

QUANTITATIVE FRENZY

PAOLOFABBRI

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content analysis vs semantic analysis

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WHAT ABOUT IRONY? AND METAPHOR?

AND CONNOTATION?

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Let’s take Madame Bovary and let’s look for the word “boredom”. We do not find it. Yet Emma is extremely bored, to the point that she cheats on her husband.

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WE HAVE TONS OF DATA BUT NO INFORMATION 6

MARTINLINDSTROM

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Qualitative assumptions

Qualitative outputs

INTERPRETATION

Quantitative outputs

DATA MINING AND PROCESSING

VISUALISATION

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUALS

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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WE ARE ALL AESTHETIC CONSUMERS

GILLES LIPOVETSKY

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EXPRESSION CONTENT

Fruit

Temptation

Pureness

Innovation

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AESTHETIC EFFECT = correspondence between

content and expression

EXPRESSION CONTENT

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VISUAL RETHORIC

COMPARISON

ANALOGY

SYMBOLISMRHYTHM

ABSTRACTIONICONISM

STORYTELLING

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ANALOGY

Francesco Franchi, Green Report

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COMPARISON

David Mc Candless, Left vs Right

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ABSTRACTION

BBC, Tomorrow’s world values

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ICONISM

Marion Luttenberg

Peter Ørntoft Club de creativos y creativas

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Most populated cities through time

RHYTHM

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STORYTELLING

Rebee Garofalo, Pop Waves

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WHY SEMIOTICS

TRUTH OR FAKE

THE POWER OF VISUALS

THE POWER OF DATA

CREATIVE PATHS AND AESTHETIC VALUE

SEMANTIC DESIGN

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VISUALISATION IS (ALSO) A MATTER OF CONTENT

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EDWARD TUFTE

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THE PPT FALLACY 7

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The space shuttle Columbia accident, 2003

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No visualisation is in principle true. We have to make them true for our user.

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References

1 – “Bullet Graph Versus Gauges Graph: Evaluation Human Information Processing of Industrial Visualization Based on Eye-Tracking Methods”, WU Lei, Lingli Guo, Hao Fang, Mou Lijun, Advances in Usability, User Experience and Assistive Technology, 2019

2 – “Cross-cultural differences in cognitive development: Attention to relations and objects”, Megumi Kuwabaraand Linda B. Smith, Journal of Experimental Child Psychology, 113 (1), 2012

3 – “Eye tracking for visualization evaluation: Reading values on linear versus radial graphs”, Joseph H. Goldberg, Jonathan Helfman, Information Visualization, 10(3), 2011

4 – Lera Boroditsky, “How Language Shapes the Way We Think”

5 –Martin Lindstrom, Small Data: The Tiny Clues That Uncover Huge Trends, 2016

7 – Edward Tufte, The Cognitive Style of Powerpoint: Pitching Out Corrupts Within, 2006