9 papers
Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding
Yizhe Li, Shixiao Wang, Jian K. Liu
Motor kinematics prediction (MKP) from electroencephalography (EEG) is an important research area for developing movement-related brain-computer interfaces (BCIs). While traditiona…
Generative Modeling of Human-Computer Interfaces with Diffusion Processes and Conditional Control
Rui Liu, Liuqingqing Yang, Runsheng Zhang +1
This study investigates human-computer interface generation based on diffusion models to overcome the limitations of traditional template-based design and fixed rule-driven methods…
Transformer-Based Modeling of User Interaction Sequences for Dwell Time Prediction in Human-Computer Interfaces
Rui Liu, Runsheng Zhang, Shixiao Wang
This study investigates the task of dwell time prediction and proposes a Transformer framework based on interaction behavior modeling. The method first represents user interaction…
Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction
Rui Liu, Runsheng Zhang, Shixiao Wang
This study focuses on the problem of user satisfaction classification and proposes a framework based on graph neural networks to address the limitations of traditional methods in h…
Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
Shixiao Wang, Yifan Zhuang, Runsheng Zhang +1
This paper proposes a user semantic intent modeling algorithm based on Capsule Networks to address the problem of insufficient accuracy in intent recognition for human-computer int…
A Deep Learning Approach to Interface Color Quality Assessment in HCI
Shixiao Wang, Runsheng Zhang, Junliang Du +2
In this paper, a quantitative evaluation model for the color quality of human-computer interaction interfaces is proposed by combining deep convolutional neural networks (CNN). By…