Online Morning Meeting Diagnostic Solution to Visualize Team Status

Abstract

Short meetings, such as morning assemblies, are widely implemented as a means of communication in organizational activities. Benefits include information sharing among organization members and enabling leaders to grasp members' statuses. However, with the increasing adoption of remote work, it has become more challenging to understand members' conditions in online meetings compared to traditional ones. Against this backdrop, we developed a support solution that enables members to understand team conditions during online assemblies and assists team leaders in noticing changes among members. This solution uses only video and audio during online meetings, analyzing members' behaviors such as nods, smiles, and linguistic features, visualizing team and member statuses, and providing advice for improvement and encourages behavioral changes in leader. This article introduces the development history and technical features of this solution, as well as the results of evaluation experiments.