Detecting Context Shifts in the Human Experience Using Multimodal Foundation Models
Iris Nguyen, Liying Han, Burke Dambly, Alireza Kazemi, Marina Kogan, Cory S. Inman, Mani B. Srivastava, Luis Garcia · 2025
Detecting context shifts in human experience is critical for applications in cognitive modeling, human-AI interaction, and adaptive neurotechnology. However, formalizing and identifying these shifts in real-world settings remains challenging due to annotation inconsistencies, data sparsity, and the multimodal nature of human perception.