Deciphering the Structural Signatures of High-Performing Human-AI Teams
(Funded by the Microsoft AI and the New Future of Work Award)
Manipulating task types and AI teammate functions to examine how people orient themselves toward intelligent machine teammates and how technology can be designed to be a collaborator, not a chatbot.
Simulating Modeling to Understand and Address HIV Disparities in Racial Ethnic and Sexual Minority Populations
(Funded by NIH)
Understanding the social contextual dynamics which lead to disparities in HIV
Strengthening Teamwork for Robust Operations in Novel Groups (STRONG) T.E.A.M.S.: Teamwork for Enhanced Adaptive Machine Synergies
(Funded by ARL)
Developing the foundation for enhanced teamwork within heterogeneous human-intelligent agent teams.
(Funded by the Army Research Laboratory Award)
The rapid rise of machine intelligence offers unprecedented opportunities to create collaborative, better-together teams that combine the strengths of humans and machines.