Human-AI Collaboration

This research investigates the growing role of Large Language Model (LLM) chatbots in mental health support by analyzing large-scale user data from six social media platforms. Using a Value-Sensitive Design (VSD) framework, the study examines how users with different mental health conditions perceive and interact with these AI tools.

This study examines how doctoral students collaborate with a GAI-assisted writing tool. Students engaging in iterative, interactive collaboration with the tool produced higher-quality writing, while those using it as a passive information source performed worse. Findings highlight the importance of active human-AI collaboration and suggest directions for designing educational strategies that enhance learning with AI.

The nBrowser system is designed to support student teachers to regulate their learning while navigating the web and designing a lesson plan that implements technologies into the classroom. Through evaluating teachers' think-aloud protocols while using the computer-based learning environment, we identified emotions and self-regulated learning strategies as core elements in influencing teachers' instructional design performance.