  Over the past years, there has been a shift towards online and hybrid meeting
forms in workplace environments, partly as a consequence of various COVID-19
restrictions. However, the decision-making process on how to best collaborate
with team members is predominantly driven by practical concerns. While there is
a significant body of literature about where to best meet, this knowledge is
fragmented across various disciplines and hard to use in novel meeting
solutions. We present the Cross-Space Collaboration model which identifies the
main factors that drive the features of in-person collaboration and the meeting
aspects that influence these factors such as cognitive load. We designed the
model to give guidance to teams and individuals on how to meet in order to have
a higher collaboration effectiveness. Finally, we outline how the model can
bring added value within new meeting solutions, next generation virtual reality
meeting spaces and educational settings.
