Interaction Paradigm

Interaction paradigms are evolving to improve how humans interact with increasingly complex systems, particularly those involving artificial intelligence. Current research focuses on enhancing the fluidity and efficiency of these interactions, exploring architectures like compressor-retriever models for managing persistent context in large language models and developing user-centered approaches that incorporate preference elicitation and guided interactions for algorithmic recourse. These advancements aim to create more intuitive, personalized, and effective interfaces across diverse applications, from creative design tools to complex software systems and even physical-digital interactions.