Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
CoRR(2023)
摘要
Generative AI, such as image generation models and large language models,
stands to provide tremendous value to end-user programmers in creative and
knowledge workflows. Current research methods struggle to engage end-users in a
realistic conversation that balances the actually existing capabilities of
generative AI with the open-ended nature of user workflows and the many
opportunities for the application of this technology. In this work-in-progress
paper, we introduce participatory prompting, a method for eliciting
opportunities for generative AI in end-user workflows. The participatory
prompting method combines a contextual inquiry and a researcher-mediated
interaction with a generative model, which helps study participants interact
with a generative model without having to develop prompting strategies of their
own. We discuss the ongoing development of a study whose aim will be to
identify end-user programming opportunities for generative AI in data analysis
workflows.
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