by Jacek Gwizdka
<p>Popularizing research in Information eXperience Lab at The University of Texas at Austin</p>
Language
🇺🇲
Publishing Since
12/1/2024
Email Addresses
1 available
Phone Numbers
0 available
March 22, 2025
<p>g-Rel-READER: A Dataset for Relevance and Reading Evaluation through Advanced Data from Eye-tracking and EEG Recordings</p>
December 10, 2024
Dr. Jacek Gwizdka and PhD students Li Shi, Nilavra Bhattacharya, and Anubrata Das discuss how our brains prioritize information confirming existing beliefs, even if inaccurate, emphasizing the need for critical thinking and awareness of cognitive biases.
December 9, 2024
<h2>IX Lab Research - 003</h2><p>This episode discusses the 2024 paper: Mishra, A., Shukla, S., Torres, J., Gwizdka, J., & Roychowdhury, S. (2024). Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs) (No. arXiv:2410.07507). arXiv. <a href="https://doi.org/10.48550/arXiv.2410.07507" rel="nofollow">https://doi.org/10.48550/arXiv.2410.07507</a></p><p>This research is conducted under Dr. Abhijit Mishra as the main Principal Investigator with students Shreya Shukla and Jose Torres and contributions from Dr. Jacek Gwizdka and Dr. Shounak Roychowdhury.</p><p><br></p><h3>Summary</h3><p>Researchers at the <strong>University of Texas at Austin</strong> are developing technology to translate brainwaves into text using electroencephalography (EEG) and large language models (LLMs). The system employs a three-stage process: training an EEG encoder to extract features, fine-tuning LLMs on multimodal data (images and text), and further refining the LLMs with EEG embeddings for text generation. Experiments using a public EEG dataset demonstrate the effectiveness of this approach, surpassing chance performance and showing promise for future applications in assistive technologies and neuroscience. While the technology shows promising results, it's still in its early stages and faces challenges such as noise in EEG data, limited spatial resolution of EEG, and ethical concerns about privacy and bias. Potential applications include assistive technology for communication impairments and advances in healthcare and education.</p><p><br></p><p>IX Lab website: <a href="https://ixlab.us/" rel="nofollow">https://ixlab.us/</a></p><p>Dr. Jacek Gwizdka website: <a href="https://jacekg.ischool.utexas.edu/" rel="nofollow">https://jacekg.ischool.utexas.edu/</a></p><p>The audio for this conversation has been generated by AI using: https://notebooklm.google/</p><p>Music intro created by a human (C) Jacek Gwizdka</p>
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