22 citations · 50 across the 5 of their papers we have counts for
5 papers
Nudging Attention to Workplace Meeting Goals: A Large-Scale, Preregistered Field Experiment
Lev Tankelevitch, Ava Elizabeth Scott, Nagaravind Challakere +2
Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested…
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 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…