We study teams in which some members are people and some are machines.
Most machines are designed either to replace a human step or to be supervised by one. We are interested in the harder case: systems where the person is an active, thinking participant whose contribution the result depends on. That raises questions we think are still open.
- What does a person actually contribute to a mixed team, and how would we measure it?
- How do attention, workload, and trust change when a teammate is a machine?
- Where does good joint judgment break down, and can the design of the machine side prevent it?
- How do people and machines communicate, and learn from each other, over time?
We approach these as a cognitive-science and neuroscience problem as much as an engineering one, and we test them in domains where the stakes are real, including the operation of critical infrastructure.
Grants and collaborations
Intersum Labs participates in research proposals on human-machine teaming, critical infrastructure resilience, and cybersecurity. If you are assembling a team, we would like to hear from you.