Autonomic meeting effectiveness and cadence forecasting
AssigneeInternational Business Machines Corporation
InventorsAaron K. Baughman, Moncef Benboubakeur, Christian Eggenberger
Life of this patent
Estimating the term…
Abstract
Meeting participation data of a meeting of a group of participants in-progress is collected. The meeting participation data is analyzed to identify a topic being discussed in the meeting. Using a trend of affective states of a participant, a future affective state of the participant is forecasted relative to the topic. The future affective state is evaluated to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree. A cognitive system (cog) trained in the subject-matter is selected. The cog is added to the meeting before the future time and while the meeting is in-progress.
Claims20
A method comprising:
- collecting meeting participation data of a meeting in-progress, the meeting comprising a group of participants;
- analyzing the meeting participation data to identify a topic being discussed in the meeting;
- forecasting, using a processor and a memory, using a trend of affective states of a participant, a future affective state of the participant relative to the topic;
- evaluating the future affective state to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree;
- selecting a cognitive system (cog) trained in the subject-matter;
- and
- adding the cog to the meeting before the future time and while the meeting is in-progress.
A computer usable program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:
- program instructions to collect meeting participation data of a meeting in-progress, the meeting comprising a group of participants;
- program instructions to analyze the meeting participation data to identify a topic being discussed in the meeting;
- program instructions to forecast, using a processor and a memory, using a trend of affective states of a participant, a future affective state of the participant relative to the topic;
- program instructions to evaluate the future affective state to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree;
- program instructions to select a cognitive system (cog) trained in the subject-matter;
- and
- program instructions to add the cog to the meeting before the future time and while the meeting is in-progress.
A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:
- program instructions to collect meeting participation data of a meeting in-progress, the meeting comprising a group of participants;
- program instructions to analyze the meeting participation data to identify a topic being discussed in the meeting;
- program instructions to forecast, using a processor and a memory, using a trend of affective states of a participant, a future affective state of the participant relative to the topic;
- program instructions to evaluate the future affective state to conclude that data contributed by the participant at a future time in the meeting is not likely to progress the topic to completion by at least a specified degree;
- program instructions to select a cognitive system (cog) trained in the subject-matter;
- and
- program instructions to add the cog to the meeting before the future time and while the meeting is in-progress.
Dependencies are inferred from the claim text.