8 citations · 17 across the 4 of their papers we have counts for
4 papers
From Superficial Outputs to Superficial Learning: Risks of Large Language Models in Education
Iris Delikoura, Yi. R Fung, Pan Hui
Large Language Models (LLMs) are transforming education by enabling personalization, feedback, and knowledge access, while also raising concerns about risks to students and learnin…
M3G: Multi-Granular Gesture Generator for Audio-Driven Full-Body Human Motion Synthesis
Zhizhuo Yin, Yuk Hang Tsui, Pan Hui
Generating full-body human gestures encompassing face, body, hands, and global movements from audio is a valuable yet challenging task in virtual avatar creation. Previous systems…
Pinning "Reflection" on the Agenda: Investigating Reflection in Human-LLM Co-Creation for Creative Coding
Anqi Wang, Zhizhuo Yin, Yulu Hu +5
Large language models (LLMs) are increasingly integrated into creative coding, yet how users reflect, and how different co-creation conditions influence reflective behavior, remain…
A Survey on Mobile Affective Computing
Shengkai Zhang, Pan Hui
This survey presents recent progress on Affective Computing (AC) using mobile devices. AC has been one of the most active research topics for decades. The primary limitation of tra…