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TorCHI.org World Usability Day 2018 - Talk by Prof. Fanny Chevalier

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VIDEO [40:24] of this talk can be seen at https://youtu.be/XBr8tQt7HoE

BIO: Dr. Fanny Chevalier is an Assistant Professor at the Department of Computer Science, and Statistical Sciences at the University of Toronto, where she conducts research in data visualization and human-computer interaction. In particular, she has been interested in addressing the challenges involved in the design, implementation, and evaluation of novel interactive tools supporting visual analytics and creative activities, with primary focus on interactive tools for the visual exploration of rich and complex data, visualization education, the design and perception of animated transitions, and sketch-based interfaces. Prior to joining UofT, Dr. Chevalier was a Research Scientist at Inria, France until 2017, and in earlier years, a postdoctoral fellow at the University of Toronto, Ontario College of Art and Design University (OCADU), and Inria-Microsoft joint center in Paris. She obtained her PhD in Computer Science from the Université de Bordeaux in 2007. She is the recipient of an Inria grant for scientific excellence and her research papers have received awards at the premier venues in Human-Computer Interaction (ACM CHI, ACM UIST). Her work on sketch-based animation system from CHI 2014, released by Autodesk as SketchBook Motion has been awarded as the Apple iPad App of the Year for 2016. She has also consistently served in the organising and program committees for ACM CHI, ACM UIST and IEEE InfoVis conferences for the past years.

ABSTRACT: Seeing Beyond the Chart: How to cultivate critical thinking through visualization. Data, “the oil of the digital era”, has come to be the most valuable resource of our modern society. As a scientist, I find it exciting to see news outlets using more and more data graphics to communicate facts, stakeholders increasingly rely on data analytics to gain insight into our world and make informed decisions, and governments increasingly promote and engage in open data. In the meantime, it is also daunting to witness how destructive fake news, rumours and falsehoods can be to a general population poorly prepared to engage in evidence-informed reasoning.
In this talk, I will discuss one of the most important societal challenges of our times: visualization literacy, defined as the ability to understand, find, collect, interpret, and support arguments using visual representations of data. Through a sample of my recent research projects focusing on visualization creation, visual communication and visualization education, I will share my reflections on how we can cultivate an informed citizenry capable of critical thinking, reasoning, and knowledge-based decision making.

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TorCHI.org World Usability Day 2018 - Talk by Prof. Fanny Chevalier

  1. 1. HOW TO CULTIVATE CRITICAL THINKING THROUGH VISUALIZATION Seeing beyond the graph: Fanny Chevalier Assistant professor University of Toronto
  2. 2. Winnpeg Sun, 2013The West Morland Gazette, 2015unknown university board
  3. 3. Map source: www.npr.org
  4. 4. Image source: REUTERS/Carlos Barria
  5. 5. Source: John Muyskens,Washington post, October 2016
  6. 6. Source: John Muyskens,Washington post, October 2016
  7. 7. How well do we understand data that we see everyday? Relate: Using concrete scales to communicate complex measures How well do we understand data this represented visually? Educate:Visualization literacy at elementary school How well can we communicate data visually? Engage:Visualization literacy at elementary school 1. 2. 3.
  8. 8. How well do we understand the data that we see everyday? 1.
  9. 9. 350 ml 475 ml 500 ml 39g of sugar 52g of sugar 65g of sugar Recommended daily intake: 25g (World Health Organization)
  10. 10. PRESENTATIONS 350 ml 475 ml 500 ml 39g of sugar 52g of sugar 65g of sugar Recommended daily intake: 25g (World Health Organization)
  11. 11. Image source: REUTERS/Shannon Stapleton
  12. 12. Video source: http://www.debtclock.ca/
  13. 13. USD$20.7 trillion USD$ 20,760,852,675,267 USD$515 billion CAD$ 650,881,545,273 USD$ 512,237,267,314 Retrieved on Feb.26, 10:45AM EST from: http://www.usdebtclock.org/ and http://www.debtclock.ca/
  14. 14. A concrete scale is a visualization that conveys a complex measure by re-expressing it using familiar objects from the real world 20 trillions of dollars59g of sugar Using Concrete Scales:A Framework forVisual Depiction of Complex Measures Chevalier, Vuillemot & Gali. IEEETVCG / Infovis 2013
  15. 15. COGNITIVE MECHANISMS Anchor and adjustment Unitization Analogy 0 measure 0 measure 0 measure Using Concrete Scales:A Framework forVisual Depiction of Complex Measures Chevalier, Vuillemot & Gali. IEEETVCG / Infovis 2013
  16. 16. How well do we understand the data that we see everyday? 1. Some measures may be difficult to grasp. Relate data to more familiar concepts can help.
  17. 17. How well do we understand data that is represented visually? 2.
  18. 18. Misleading visual representations
  19. 19. Perceptual biases
  20. 20. Image source: NPR visual team.
  21. 21. VISUALIZATION LITERACY ability to extract information from visualizations and think critically about it ability to communicated data in a visual form as truthfully as possible
  22. 22. Where and when do we learn these skills?
  23. 23. Qualitative coding of textbook visual material C’est la vis:Visualization Literacy at Elementary School Alper, Henry Riche, Chevalier, Boy & Sezgin.ACM CHI 2017.
  24. 24. We encoded 2600 visual representations in 5000 textbook pages C’est la vis:Visualization Literacy at Elementary School Alper, Henry Riche, Chevalier, Boy & Sezgin.ACM CHI 2017.
  25. 25. Degree of Abstraction Scott McCloud, Understanding Comics Degree of Abstraction Scott McCloud, Understanding Comics C’est la vis:Visualization Literacy at Elementary School Alper, Henry Riche, Chevalier, Boy & Sezgin.ACM CHI 2017.
  26. 26. C’est la vis:Visualization Literacy at Elementary School Alper, Henry Riche, Chevalier, Boy & Sezgin.ACM CHI 2017. Same data, different abstraction levels
  27. 27. C’est la vis:Visualization Literacy at Elementary School Alper, Henry Riche, Chevalier, Boy & Sezgin.ACM CHI 2017.
  28. 28. Interested and focused for 30 minutes Disrupted class dynamics Interacted a lot Completed all activities Peer learning Verbalization Retention
  29. 29. How well do we understand data that is represented visually? 2. Decoding and understanding visualizations is a complex activity that requires knowledge and skill. Visualization education can help.
  30. 30. How well can we communicate data visually? 3.
  31. 31. VISUALIZATION LITERACY ability to extract information from visualizations and think critically about it ability to communicated data in a visual form as truthfully as possible
  32. 32. http://coloringclimate.com/
  33. 33. Color where carbon emissions from fossil fuels are the greatest, which looks similar to a population density map since this type of greenhouse gas is caused by human activity. http://coloringclimate.com/ See if you can color 20 football fields in under a minute, which is about how fast we have been losing global forests for the past 25 years
  34. 34. http://www.dear-data.com/
  35. 35. http://www.dear-data.com/
  36. 36. DataInk: Creative and Direct Data-Oriented Drawing Xia, Riche, Chevalier, De Araujo,Wigdor.ACM CHI 2018 [Honourable mention]
  37. 37. DataInk: Creative and Direct Data-Oriented Drawing Xia, Riche, Chevalier, De Araujo,Wigdor.ACM CHI 2018. [Honourable mention]
  38. 38. How well can we communicate data visually? 3. There are many challenges. By reconciling creative drawing and data binding we can engage people with data.
  39. 39. –Alberto Cairo “[data is] always noisy, dirty, and uncertain.”
  40. 40. –Fanny Chevalier “… and so is the way we portray and perceive it.”
  41. 41. Relate Educate Engage 1. 2. 3. http://fannychevalier.net

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