Fluid Real-Time Responsiveness for Interactive Agents

Develop techniques that enable fluid, real-time responsiveness in voice and conversational AI agents beyond rigid turn-based exchanges, achieving seamless interactive user experiences that meet production requirements for latency and reliability.

Background

Most deployed agents operate in latency-relaxed settings where minutes-level response times are acceptable relative to human baselines. However, real-time interactive applications (e.g., voice systems and specialized chat agents) require conversational speeds and seamless turn-taking, making latency a critical bottleneck.

The authors note that current systems struggle to deliver fluid responsiveness without rigid turn-taking constraints and explicitly identify achieving this behavior as an open research question and engineering challenge.