Leveraging Social Interactions in Human-Agent Decision-Making

Through social interactions, humans and machines can express their intents, acknowledge each other's, and coordinate with one another to arrive at a joint decision. These interactions can also help achieve goals beyond just task performance. They can help build trust between interactants, which is crucial for effective collaborations. My work aims to i) develop frameworks for social interaction in human-agent joint decision-making and ii) implement artificial agents that improve joint decisions while considering the social and interpersonal implications of their actions. In this extended abstract, I describe past and current work and propose future directions for my dissertation.