254 citations · 344 across the 9 of their papers we have counts for
Showing 2023Show all
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cs.HC2023★ 3 cited
Participatory prompting: a user-centric research method for eliciting AI assistance opportunities in knowledge workflows
Advait Sarkar, Ian Drosos, Rob Deline +5
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 re…
cs.HC2023★ 254 cited
The Metacognitive Demands and Opportunities of Generative AI
Lev Tankelevitch, Viktor Kewenig, Auste Simkute +4
Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on…
cs.HC2023★ 21 cited
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?
Advait Sarkar
The research field of end-user programming has largely been concerned with helping non-experts learn to code sufficiently well in order to achieve their tasks. Generative AI stands…