Feasibility of intent-elicitation design for LLM-based CSTs

Determine whether the design vision of treating creativity support as intent elicitation—progressively eliciting and refining users’ detailed, idiosyncratic creative intent to guide generation—can be effectively realized in practical LLM-based creativity support tools.

Background

The authors argue that LLM outputs often reflect users’ brief, underspecified intents, which can lead to homogenized results when the system must make many creative decisions on the user’s behalf. They propose reframing creativity support as intent elicitation to draw out more detailed, distinctive user intent before generation, potentially mitigating homogenization and preserving authorship.

They explicitly flag uncertainty about whether such a design vision can be implemented effectively, identifying a need to investigate and validate concrete systems that realize this approach.