Mixed Initiative

Mixed-initiative systems aim to optimize human-computer collaboration by allowing both humans and AI agents to take the lead in a task or conversation. Current research focuses on improving the design of these systems, particularly through the use of explainable AI models, plan-grounded large language models, and evolutionary algorithms like MAP-Elites to guide the interaction and provide relevant suggestions. This research is significant because it addresses the limitations of purely human-driven or fully automated approaches, leading to more efficient and effective problem-solving in diverse domains, from collaborative robotics and design to conversational AI and information retrieval.