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148  |  Cognitive Science for Data Visualization with Lace Padilla

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Manage episode 244912074 series 2313435
Content provided by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

[Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!]

In this episode we have Lace Padilla on the show to talk about how cognitive science can help create better visualizations. Lace is a newly appointed Assistant Professor at Cognitive UC Merced, where she directs the SPACE Lab.

Lace’s expertise is cognitive science, and she has published numerous papers that look at data visualization under the lens of a cognitive scientist. Believe it or not this is not so common so Lace’s work is very welcome.

On the show we talk about the role of cognitive science in visualization, what cognitive models are and how they can be used for visualization design and evaluation, decision-making supported by visualization and visualization as a way to analyze and communicate weather data.

Links:

  continue reading

Chapters

1. Welcome to Data Stories! (00:00:29)

2. Our podcast is listener-supported, please consider making a contribution! (00:01:29)

3. Our guest today: Cognitive scientist Lace Padilla (00:02:02)

4. So what is cognitive science? And what can we learn from it for visualisation? (00:03:31)

5. Testing tiny details: How do you figure out what's happening on a neuronal level? (00:09:43)

6. Reverse engineering: Judging visualisations along the decisions they inform (00:12:14)

7. Dealing with probability: Visualising desaster forecasts (00:22:01)

8. Connecting cognitive science and vis: Where do we go from here? (00:40:19)

9. Get in touch with us and support us on Patreon (00:44:54)

170 episodes

Artwork
iconShare
 
Manage episode 244912074 series 2313435
Content provided by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

[Our podcast is fully listener-supported. That’s why you don’t have to listen to ads! Please consider becoming a supporter on Patreon or sending us a one-time donation through Paypal. And thank you!]

In this episode we have Lace Padilla on the show to talk about how cognitive science can help create better visualizations. Lace is a newly appointed Assistant Professor at Cognitive UC Merced, where she directs the SPACE Lab.

Lace’s expertise is cognitive science, and she has published numerous papers that look at data visualization under the lens of a cognitive scientist. Believe it or not this is not so common so Lace’s work is very welcome.

On the show we talk about the role of cognitive science in visualization, what cognitive models are and how they can be used for visualization design and evaluation, decision-making supported by visualization and visualization as a way to analyze and communicate weather data.

Links:

  continue reading

Chapters

1. Welcome to Data Stories! (00:00:29)

2. Our podcast is listener-supported, please consider making a contribution! (00:01:29)

3. Our guest today: Cognitive scientist Lace Padilla (00:02:02)

4. So what is cognitive science? And what can we learn from it for visualisation? (00:03:31)

5. Testing tiny details: How do you figure out what's happening on a neuronal level? (00:09:43)

6. Reverse engineering: Judging visualisations along the decisions they inform (00:12:14)

7. Dealing with probability: Visualising desaster forecasts (00:22:01)

8. Connecting cognitive science and vis: Where do we go from here? (00:40:19)

9. Get in touch with us and support us on Patreon (00:44:54)

170 episodes

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