IX Lab Research
IX Lab Research
Podcast Description
Popularizing research in Information eXperience Lab at The University of Texas at Austin
Podcast Insights
Content Themes
Focuses on cognitive science, information retrieval, and human-computer interaction, with episodes discussing topics such as cognitive load in information processing related to COVID-19 headlines, brain signal translation into text using EEG technology, and the dynamics of eye movement and brain activity while determining information relevance.
Popularizing research in Information eXperience Lab at The University of Texas at Austin
Ebeid, I. A., Bhattacharya, N., Gwizdka, J., & Sarkar, A. (2019). Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects Markov Models. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, ETRA ’19, 5:1-5:5. https://doi.org/10.1145/3314111.3319839
(C) is held by the paper authors.
Conversation in this podcast is generated by AI NotebookLM.google from the full text of the paper. Illutration generated by ChatGPT. Music by (C) Jacek Gwizdka.
IX Lab website: https://ixlab.us/
Dr. Jacek Gwizdka: https://jacekg.ischool.utexas.edu/
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