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We present a novel approach for generating plausible verbal interactionsbetween virtual human-like agents and user avatars in shared virtualenvironments. Sense-Plan-Ask, or SPA, extends prior work in propositionalplanning and natural language processing to enable agents to plan withuncertain information, and leverage question and answer dialogue with otheragents and avatars to obtain the needed information and complete their goals.The agents are additionally able to respond to questions from the avatars andother agents using natural-language enabling real-time multi-agent multi-avatarcommunication environments.  Our algorithm can simulate tens of virtual agents at interactive ratesinteracting, moving, communicating, planning, and replanning. We find that ouralgorithm creates a small runtime cost and enables agents to complete theirgoals more effectively than agents without the ability to leveragenatural-language communication. We demonstrate quantitative results on a set ofsimulated benchmarks and detail the results of a preliminary user-studyconducted to evaluate the plausibility of the virtual interactions generated bySPA. Overall, we find that participants prefer SPA to prior techniques in 84\%of responses including significant benefits in terms of the plausibility ofnatural-language interactions and the positive impact of those interactions.

SPA: Verbal Interactions between Agents and Avatars in Shared Virtual Environments using Propositional Planning