Meeting management

A computer implemented method of updating a user joining a group after a user-relevant topic has been discussed, the method comprising, with a processor operatively-coupled to a memory:

• identifying a list of topics to be addressed in a meeting of a group;
• automatically generating an agenda for the meeting, wherein:
• the agenda is provided with a first icon indicating an expert is present in the meeting and a second icon indicating an expert is not present in the meeting;
• times allocated to discuss the list of topics are based on:
• previous meeting time allocations;
• and
• a position on the agenda;
• responsive to presentation of the first icon indicating an expert relating to a first topic is present in the current session, initiating discussion of the first topic;
• responsive to presentation of the second icon indicating the expert relating to the first topic is not present in the current session, delaying discussion of the first topic;
• identifying topics, from the list of topics that are of interest to the first user, based on:
• attendance and participation of the first user in past sessions;
• a role of the first user;
• and
• keyword matching between the agenda and a background of the first user, wherein a background of the first user comprises the first user resume and past participation;
• scoring a level of interest of each topic to the first user;
• determining, based on a timeline and parsed audio, when a first topic is discussed in the current session of the group;
• identifying, based on audio capture in the current session, the first user joining the group after the first topic has been discussed in a current session of the group;
• and
• determining interest of the first user in the first topic;
• when the first topic is determined to be of interest to the first user and the level of interest the first user has in the first topic is greater than a cutoff value, providing an automated summary of the first topic to the first user, wherein a level of detail in the summary is based on the score of the level of interest the first user has in the first topic;
• monitoring, using a sensor, engagement of the first user in a first communication channel providing the current session;
• indicating the first user as engaged responsive to sensor output detecting user activity at a user device;
• indicating the first user as under-engaged responsive to a lack of sensor output detecting user activity at the user device;
• displaying a timeline to the first user which indicates level of interest over time;
• responsive to the sensor indicating the first user is engaged in the current session, continuing with the first session;
• responsive to the sensor indicating the first user is under-engaged in the current session, prompting the first user to engage via a second communication channel different than the first communication channel;
• activating a learning system to determine whether a sensor-based prompt was relevant;
• increasing the use of relevant sensor-based prompts;
• decreasing the number of irrelevant sensor-based prompts;
• and
• altering the timeline to indicate, per topic, when a subject matter expert is present.