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Method and System for Suggesting a Most Productive Time Slot for Meetings

IP.com Disclosure Number: IPCOM000250381D
Publication Date: 2017-Jul-07
Document File: 5 page(s) / 243K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for suggesting/selecting a most productive time slot for meetings. The method and system determines an engagement score of meeting participants over a period of time that provides necessary insight for a meeting coordinator to select a best time for a meeting.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

1

Method and System for Suggesting a Most Productive Time Slot for Meetings

Disclosed is a method and system for suggesting/selecting a most productive time slot for meetings. The method and system determines an engagement score of meeting participants over a period of time that provides necessary insight for a meeting coordinator to select a best time for a meeting.

The method and system employs cognitive techniques to track interaction patterns of meeting participants in a meeting based on a time of a day. The method and system, then, determines an engagement score for the meeting participants based on the interaction patterns. The engagement score gets updated with every meeting based on the interactions of the meeting participants.

When a meeting coordinator creates a meeting and finds multiple available slots for the meeting, the method and system provides a group engagement score for each slot and suggests a most productive time slot for the meeting. The group engagement score is calculated by using the engagement score of every meeting participant. A most productive time slot is selected from the multiple available slots with a highest engagement score.

FIG. 1 illustrates a process flow of the method and system for generating a voice signature for meeting participants.

FIG. 1

As illustrated in FIG. 1, the method and system collects a profile and a voice sample of every meeting participant/user. The profile and the voice sample are then fed into a cognitive system to generate the voice signature for every meeting participant. The cognitive system uses the voice signature to recognize a voice of every meeting participant that is further used for learning interactions patterns of every meeting participant.

2

FIG. 2 illustrates a flow of the method and system for enabling a cognitive system to learn interaction patterns of meeting participants.

FIG. 2

As illustrated in FIG. 2, the method and system provides screen sharing information, voice recordings from a voice system to the cognitive system. The cognitive system learns the interaction patterns of the meeting participants in a meeting over a time period. Also, the method and system provides participation information of the meeting participants from emoticons such as, but not limited to, raise hand, happy face, frown, thumps up and thumps down.

FIG. 3, illustrates a flow of the method and system for determining an engagement score for meeting participants.

3

FIG. 3

As illustrated in FIG. 3, the method and system allows a meeting and scheduling system to schedule a meeting with continuous tracking of interaction patterns of the meeting participants. At an end of the meeting, the meeting and scheduling system provides the interaction patterns to a cognitive system. The interaction patterns of the meeting participants include information su...