254 citations · 347 across the 14 of their papers we have counts for
5 papers · 1 filter
The Future of Skill: What Is It to Be Skilled at Work?
Axel Niklasson, Sean Rintel, Stephann Makri +1
In this short paper, we introduce work that is aiming to purposefully venture into this mesh of questions from a different starting point. Interjecting into the conversation, we wa…
"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…
The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
Gun Woo Warren Park, Payod Panda, Lev Tankelevitch +1
Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has th…
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…