113 citations · 113 across the 1 of their papers we have counts for
4 papers
From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking
Yuhong Zhang, Shilai Yang, Gert Cauwenberghs +1
Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain…
Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension
Yuhong Zhang, Qin Li, Sujal Nahata +4
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine…
Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario
Kuan-Jung Chiang, Steven Dong, Chung-Kuan Cheng +1
Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias,…
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +2
Energy consumption is an important issue in continuous wireless telemonitoring of physiological signals. Compressed sensing (CS) is a promising framework to address it, due to its…