Advancing Human-Agent Interaction: Bridging the Gap Between Vision and Reality

Abstract

The field of Human-Agent Interaction (HAI) has made significant strides in recent years, yet the gap between the envisioned capabilities of conversational agents and their current state remains substantial. This paper explores the challenges and opportunities in advancing HAI to bridge this gap. By examining theoretical frameworks such as Distributed Cognition for Teamwork (DiCoT), Human-Agent Team (HAT) Game Analysis, and Flows of Power (FoP), we identify key barriers in privacy, trust, and technology. Privacy concerns related to extensive data collection and user consent are analyzed, highlighting the need for transparent and compliant data practices. Trust issues are addressed by focusing on the reliability and transparency of agent operations, essential for user confidence and adoption. Technological hurdles, particularly in natural language understanding and contextual awareness, are examined to outline the advancements needed for agents to engage in seamless, intelligent interactions. This paper provides a comprehensive roadmap for future research and development, emphasizing the importance of user-centric design and collaborative efforts to realize the full potential of conversational agents. By addressing these critical challenges, we can move closer to the vision of advanced, trustworthy, and capable conversational agents.