{"id":981003,"date":"2023-10-31T08:33:57","date_gmt":"2023-10-31T15:33:57","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=981003"},"modified":"2025-06-19T07:03:54","modified_gmt":"2025-06-19T14:03:54","slug":"participatory-prompting-a-user-centric-research-method-for-eliciting-ai-assistance-opportunities-in-knowledge-workflows","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/participatory-prompting-a-user-centric-research-method-for-eliciting-ai-assistance-opportunities-in-knowledge-workflows\/","title":{"rendered":"Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows"},"content":{"rendered":"\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Advait Sarkar","user_id":"37146"},{"type":"user_nicename","value":"Ian Drosos","user_id":"41922"},{"type":"user_nicename","value":"Rob DeLine","user_id":"33370"},{"type":"user_nicename","value":"Andy Gordon","user_id":"30825"},{"type":"user_nicename","value":"Carina Negreanu","user_id":"40924"},{"type":"user_nicename","value":"Sean Rintel","user_id":"33579"},{"type":"user_nicename","value":"Jack Williams","user_id":"40156"},{"type":"user_nicename","value":"Ben 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