5 papers
Nanomentoring: Investigating How Quickly People Can Help People Learn Feature-Rich Software
Ian Drosos, Jo Vermeulen, George Fitzmaurice +1
People frequently use online forums to get help from experts to answer questions about feature-rich software. However, they may have to wait minutes, hours, or even days to receive…
Vibe coding: programming through conversation with artificial intelligence
Advait Sarkar, Ian Drosos
We examine "vibe coding": an emerging programming paradigm where developers primarily write code by interacting with code-generating large language models rather than writing code…
"It makes you think": Provocations Help Restore Critical Thinking to AI-Assisted Knowledge Work
Ian Drosos, Advait Sarkar, Xiaotong +2
Recent research suggests that the use of Generative AI tools may result in diminished critical thinking during knowledge work. We study the effect on knowledge work of provocations…
When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution
Advait Sarkar, Xiaotong, Xu +3
Generative AI, with its tendency to "hallucinate" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented o…
Dynamic Prompt Middleware: Contextual Prompt Refinement Controls for Comprehension Tasks
Ian Drosos, Jack Williams, Advait Sarkar +1
Effective prompting of generative AI is challenging for many users, particularly in expressing context for comprehension tasks such as explaining spreadsheet formulas, Python code,…