  Effective meetings are effortful, but traditional videoconferencing systems
offer little support for reducing this effort across the meeting lifecycle.
Generative AI (GenAI) has the potential to radically redefine meetings by
augmenting intentional meeting behaviors. CoExplorer, our novel adaptive
meeting prototype, preemptively generates likely phases that meetings would
undergo, tools that allow capturing attendees' thoughts before the meeting, and
for each phase, window layouts, and appropriate applications and files. Using
CoExplorer as a technology probe in a guided walkthrough, we studied its
potential in a sample of participants from a global technology company. Our
findings suggest that GenAI has the potential to help meetings stay on track
and reduce workload, although concerns were raised about users' agency, trust,
and possible disruption to traditional meeting norms. We discuss these concerns
and their design implications for the development of GenAI meeting technology.
