AAAI 2025technical0 citations
Adaptive Agents for Mixed-Initiative Human-AI Collaborations
Abstract
Efficient human-agent collaboration requires understanding each other’s capabilities and establishing appropriate reliance. My thesis focuses on optimizing performance in mixed-initiative settings, where humans and agents dynamically contribute to decisions and actions. I first explore key factors shaping human reliance on decision-support agents, then examine how agents can model this reliance to initiate actions. My proposed work aims to enable agents to jointly provide decision and action support in multi-objective tasks, using bi-directional communication to enhance collaboration.
BibTeX
@article{Natarajan_2025, title={Adaptive Agents for Mixed-Initiative Human-AI Collaborations}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/35220}, DOI={10.1609/aaai.v39i28.35220}, abstractNote={Efficient human-agent collaboration requires understanding each other’s capabilities and establishing appropriate reliance. My thesis focuses on optimizing performance in mixed-initiative settings, where humans and agents dynamically contribute to decisions and actions. I first explore key factors shaping human reliance on decision-support agents, then examine how agents can model this reliance to initiate actions. My proposed work aims to enable agents to jointly provide decision and action support in multi-objective tasks, using bi-directional communication to enhance collaboration.}, number={28}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Natarajan, Manisha}, year={2025}, month={Apr.}, pages={29285-29286} }