Emotions

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.

Using transmodal analysis on facial recognition and team dialogues, the study examined and compared the co-occurrences of emotion and socially-shared regulatory interactions of expert and novice medical teams.

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.