New work from the lab: www.biorxiv.org/content/10.1... Mobile eye-tracking glasses assess listening effort through pupil size and eye movements as good as a stationary eye tracker. But mobile glasses also show that people reduce their head movements when listening becomes more effortful.

Excited to share the publication of our work which explores the application of LLMs in event segmentation and memory research. For researchers interested in applying these validated methods, an open-source module is available on GitHub (github.com/ryanapanela/EventRecall).

🚨 New preprint 🚨 Prior work has mapped how the brain encodes concepts: If you see fire and smoke, your brain will represent the fire (hot, bright) and smoke (gray, airy). But how do you encode features of the fire-smoke relation? We analyzed fMRI with embeddings extracted from LLMs to find out 🧵

Short speech utterances can be looped and after a few repetitions it sounds like the speaker is singing and once the switch from speech to song happens it never seems to go back. This paper we showed evidence for music knowledge being activated after the switch. www.sciencedirect.com/science/arti...

And that's a wrap on #ARO2025. Grateful for the opportunity to give my first international conference talk and for the chance to (re-)connect with an incredible group of researchers. See you next year in Puerto Rico for #ARO2026. @auditoryaging.bsky.social

New Preprint 🚨 This research with @bjherrmann.bsky.social, @alexbarnett.bsky.social, and @barense.bsky.social extends previous work exploring how LLMs can simulate human event segmentation, with applications for automated recall assessments. arxiv.org/abs/2502.13349