How can we combine the process-level insight that think-aloud studies give us with the large scale that modern online experiments permit? In our new CogSci paper, we show that speech-to-text models and LLMs enable us to scale up the think-aloud method to large experiments!
Ben Prystawski
Excited to share a new CogSci paper co-led with @benpry.bsky.social!
Once a cornerstone for studying human reasoning, the think-aloud method declined in popularity as manual coding limited its scale. We introduce a method to automate analysis of verbal reports and scale think-aloud studies. (1/8)🧵
Video
Daniel Wurgaft
Can we record and study human chains of thought? Check out our new work led by @danielwurgaft.bsky.social and @benpry.bsky.social !!
Some absolutely marvellous work from @gandhikanishk.bsky.social et al! Wow!
Excited to share a new CogSci paper co-led with @benpry.bsky.social!
Once a cornerstone for studying human reasoning, the think-aloud method declined in popularity as manual coding limited its scale. We introduce a method to automate analysis of verbal reports and scale think-aloud studies. (1/8)🧵
