Title: Human-AI Interaction Dynamics with Voice-Driven Autonomous Pilots in MEDEVAC Operations While autonomous systems advance, human involvement remains crucial in critical domains like medical evacuation, where precise human discernment is essential. In our study, we explored human-AI collaboration between an AI Pilot (AP) and a medical professional in simulated MEDEVAC situations. We recruited 22 primarily […]
Prof. Karen Feigh participates in a panel discussion at the Human Factors and Ergonomics Society’s ASPIRE 2025 in Chicago, IL.
Topic: Two Sides of the Same Coin? Joint Perspectives From Shared Mental Models and Interactive Team Cognition Theories on Human-AI Team Cognition The ubiquity of AI has made team cognitive science a foundation for understanding what increasingly complex human-AI interactions can achieve. Different models and theoretical frameworks from human teamwork literature offer varying explanations for […]
Teerthaa Parakh presents her paper at the Workshop on Theory of Mind at the 34th International Joint Conference on Artificial Intelligence (IJCAI)
Transparency in AI systems has shown mixed effects on human decision-making, sometimes leading to under-reliance, other times to over-reliance. We investigate this inconsistency through the lens of users’ mental models: internal representations people form about how AI systems behave. Focusing on AI confidence scores as a form of transparency, we examine how users’ trust and […]
Ranjani Narayanan presents her paper at IEEE CogSIMA 2025 and receives the Best Student Paper Award
Ranjani Narayanan presents her work at the 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) held in Duisburg, Germany. The paper was awarded the Best Student Paper Award of the year. Abstract: With increasing opportunities for collaboration between humans and AI, a crucial aspect of effective teaming is humans’ ability to […]
Ranjani Narayanan presents her paper at HUCAPP 2025
Ranjani Narayanan presents her work at the 2025 International Conference on Human Computer Interaction Theory and Applications (HUCAPP) held in Porto, Portugal. The paper was nominated for the Best Student Paper Award of the year. Abstract: With increasing opportunities for the integration of AI-based decision support tools, human interactions with AI systems must be studied under different […]
Human-Autonomy Teaming with Generative AI: How is it new and different?
This opinion piece shares Dr. Feigh’s thoughts on what differentiates Human-Autonomy Teaming with Generative AI from other forms of Human-Autonomy Teaming or Interactions.
Jack Kolb presents his poster at IROS 2024
We investigate the real-time estimation of human situation awareness using observations from a robot team- mate with limited visibility. In human factors and human- autonomy teaming, it is recognized that individuals navigate their environments using an internal mental simulation, or mental model. The mental model informs cognitive processes including situation awareness, contextual reasoning, and task […]
Richard Agbeyibor gets his article published at CrossTalk: The Journal of Defense Software Engineering
Rapid developments in Artificial Intelligence (AI) are bringing increasingly complex autonomy capabilities to the cockpit. Autonomous electric Vertical Take Off and Landing, swarms, Collaborative Combat Aircraft, and other new aviation mission constructs are on the horizon. In the last few decades, military and civil aviation have achieved remarkable safety and effectiveness thanks to automation and […]
Richard Agbeyibor presents at the VFS Complex Systems Technical Meeting (2024)
Looking 10-20 years into the future, in the rapidly advancing world of autonomous, special ops, cargo, and Medevac aircraft, all of the basic aviation functions will likely be handled completely and competently by AI agents embedded within air vehicles. Under nominal conditions (and many basic off-nominal situations) the AI-controlled vehicle will operate autonomously and independently […]
Ranjani Narayanan presents at the Mutual Theory of Mind Workshop at 2024 ACM CHI Conference on Human Factors in Computing Systems
Human collaboration with automation is premised on performance augmentation. Highly effective human teams develop and utilize a shared mental model (SMM), a mutual understanding of tasks and teammates involved in joint undertakings. This theory has been extended to human-AI teams (HATs) aimed at achieving effective performance but continues to be studied in situations where both […]