148  |  Cognitive Science for Data Visualization with Lace Padilla


Manage episode 244912074 series 2313435
By Enrico Bertini and Moritz Stefaner, Enrico Bertini, and Moritz Stefaner. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

[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.



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)

164 episodes