254 citations · 347 across the 14 of their papers we have counts for
5 papers · 1 filter
Metacognition and Confidence Dynamics in Advice Taking from Generative AI
Clara Colombatto, Sean Rintel, Lev Tankelevitch
Generative Artificial Intelligence (GenAI) can aid humans in a wide range of tasks, but its effectiveness critically depends on users being able to evaluate the accuracy of GenAI o…
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…
Nods of Agreement: Webcam-Driven Avatars Improve Meeting Outcomes and Avatar Satisfaction Over Audio-Driven or Static Avatars in All-Avatar Work Videoconferencing
Fang Ma, Ju Zhang, Lev Tankelevitch +9
Avatars are edging into mainstream videoconferencing, but evaluation of how avatar animation modalities contribute to work meeting outcomes has been limited. We report a within-gro…
The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education
Auste Simkute, Viktor Kewenig, Abigail Sellen +2
Generative AI (GenAI) has introduced myriad opportunities and challenges for higher education. Anticipating this potential transformation requires understanding students' contextua…