254 citations · 292 across the 5 of their papers we have counts for
5 papers
What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection
Ava Elizabeth Scott, Lev Tankelevitch, Payod Panda +3
Despite decades of HCI and Meeting Science research, complaints about ineffective meetings are still pervasive. We argue that meeting technologies lack support for prospective refl…
Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings
Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru +3
Meetings often suffer from a lack of intentionality, such as unclear goals and straying off-topic. Identifying goals and maintaining their clarity throughout a meeting is challengi…
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…
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…