🐟 Fish for Study

Fish for Study project screenshot
Master's Dissertation Research (Supervisor: Dr. Gail Hopkins, University of Nottingham)

This research project investigated the effectiveness of gamified digital interventions in reducing mobile device distractions during learning activities. The study employed a mixed-methods approach, combining quantitative analysis of user engagement metrics with qualitative interviews to understand the psychological mechanisms underlying distraction and motivation in educational contexts.

Gamification Educational Technology Mobile Applications User Research

🎭 MaskMe

MaskMe wearable device project
Wearable Computing Research (Supervisor: Qin Wu, Chengdu University of Information Technology)

This interdisciplinary project explored the potential of wearable technology to support social interaction for children with autism spectrum disorder. The research involved extensive user studies, prototype development using Arduino-based systems, and field evaluation to assess the effectiveness of eye contact intervention technologies in real-world educational settings.

Wearable Computing Arduino Accessibility Assistive Technology

🤖 CheChe

CheChe tracking robots project
Computer Vision & Robotics Research (Supervisor: Qin Wu, Chengdu University of Information Technology)

This innovative robotics project involved developing a multi-robot tracking system using computer vision techniques and Arduino-based hardware. The project demonstrated advanced capabilities in real-time object tracking and multi-agent coordination, leading to acceptance at the prestigious UIST 2019 Student Innovation Competition, showcasing the potential of computer vision in interactive systems.

Computer Vision Robotics UIST Competition Multi-Agent Systems