Orchestrating Interactions with AI
iSAT team members set up the Jigsaw Interactive Agent (JIA) Wizard of Oz Studies and teacher interviews in the iSAT Lab.
The foundational question for Strand 2 is: What advances in theories, interaction-paradigms, and frameworks are needed to orchestrate effective student and teacher interactions with AI partners? To accomplish this, our Strand 2 team develops new conceptual frameworks, new interaction paradigms, and novel architectures. This requires understanding what students are thinking and feeling (e.g., trust, skepticism, confusion) when interacting with our聽AI Partners and provides an opportunity for pioneering research on the neuroscience of human-AI collaborative learning. This strand advances the fields of human-computer collaboration, team science, computer-supported collaborative learning, and the underlying socio-neuropsychological basis of collaborative learning and teaming. Strand 2 focuses on the following: Frameworks & Measures,聽Collaboration Processes & Orchestration, and聽UX Design & Multimodal Modeling.
Frameworks & Measures
This theme focuses on successfully identifying and measuring the basis of collaborative problem-solving skills in social, affective, and聽cognitive processes, and how to promote equitable and trusted interac颅tions in team problem solving.聽
Collaboration Processes & Orchestration
This theme focuses on identifying verbal and non-verbal modes of collaborative engagement and identifying peer scaffolding moves, as聽well as understanding how peers support each other during collaborative learning.聽
UX Design & Multimodal Modeling
The iSAT lab is collecting data centered on collaboration to understand how data can be used to model collaborative behaviors and聽corre颅spondingly implement these models as part of our future AI Partner.聽