28 citations · 37 across the 3 of their papers we have counts for
3 papers
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
Ian Drosos, Advait Sarkar, Xiaotong Xu +3
Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and…
Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
Ava Elizabeth Scott, Lev Tankelevitch, Sean Rintel
Ineffective meetings due to unclear goals are major obstacles to productivity, yet support for intentionality is surprisingly scant in our meeting and allied workflow technologies.…
Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions
Auste Simkute, Lev Tankelevitch, Viktor Kewenig +3
Generative AI (GenAI) systems offer opportunities to increase user productivity in many tasks, such as programming and writing. However, while they boost productivity in some studi…