BioTDMS: Biobehavioral Team Dynamics Measurement System

A multi-sensor, machine learning pipeline for real-time team performance assessment. We combine wearable physiological sensors, dynamical systems modeling, and physiological synchrony to measure and predict team outcomes.

Funded by DOD DARPA OPTEMPO

Trust Contagion in Human-Human-AI Teams

How does trust spread — and get repaired — when humans and AI agents work together? We use experiments, language analysis, and grounded theory to understand social influence on trust in multi-human, multi-agent teams.

Funded by GTRI

Measure and Manage Trust in Conversational Agent

We use lexical, acoustic, and machine learning approaches to measure trust in human-AI conversation, model trust dynamics using trajectory epistemic network analysis, and examine how explanations and cooperation shape trust.

Funded by NASA

Human-LLM Conversations

We examine how large language models shape human cognition and behavior in conversation. Current projects explore creativity in human-LLM collaboration and how LLMs influence confidence and bias in moral decision making.

Autonomous Truck Acceptance & Regulation

We investigate public perception, acceptance, and regulatory preferences for autonomous trucking technology, examining how exposure and risk framing shape support for policy.

Funded by DoT National Center for Understanding Future Travel Behavior and Demand (TBD)