  This study investigates the impact of Large Language Models generating follow
up questions in response to user requests for short text documents. Users
provided prompts requesting documents they would like the AI to produce. The AI
then generated questions to clarify the user needs before generating the
requested documents. Users answered the questions and then indicated their
preference between a document generated using both the initial prompt and the
questions and answers, and a document generated using only the initial prompt,
and gave feedback about their experience with the question-answering process.
The findings of this study show clear benefits to question-asking both in
document preference and in the qualitative user experience.
