Generative Communication Event Effects for Session Join and Exit Cues

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Solution Overview

Problem

Participants joining or leaving online communication sessions often go unnoticed or are announced abruptly, disrupting the flow and context of the session.

Innovation Solution

Generative communication session event effects, such as intros and outros, are created using a generative machine learning model to incorporate participant likenesses and background information, providing advance indications of arrivals and departures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If participants join or leave without announcement, then the communication session flows smoothly without interruptions, but the changes go unnoticed and may negatively affect the session

Engineering Contradiction:
Improvesession flow continuityVSAvoidparticipant presence information
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by generating and displaying event effects (visual/audible notifications) before a participant fully joins or leaves the communication session. This advance notification allows other participants to prepare for the upcoming change, maintaining session flow while ensuring awareness of participant presence changes.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If abrupt announcements are made when participants join or leave, then participant presence changes are communicated, but the session flow is disrupted and context is lost

Engineering Contradiction:
Improveparticipant presence informationVSAvoidsession flow continuity
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The system performs preliminary actions by generating and displaying event effects (visual/audible notifications) before a participant fully joins or leaves the communication session. This advance notification allows other participants to prepare for the upcoming change, maintaining session flow while ensuring awareness of participant presence changes.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If traditional notification methods are used for participant arrivals and departures, then information is conveyed, but the notifications are jarring and disruptive to the session

Engineering Contradiction:
Improveparticipant presence informationVSAvoiddisruption to session atmosphere
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The system changes the parameters of notification delivery by using event effects with controlled duration, intensity, and timing. Instead of abrupt traditional notifications, the system employs gradual visual/audible effects that convey participant presence changes while maintaining a pleasant and non-disruptive session atmosphere.

Inventive Principle:
Principle #35Parameter changes

4Ease of operation

If no advance indication is provided before displaying event effects, then the session remains simple and responsive, but participants cannot prepare or react to upcoming changes

Engineering Contradiction:
Improvesession responsivenessVSAvoidreaction time for participants
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by generating and displaying event effects (visual/audible notifications) before a participant fully joins or leaves the communication session. This advance notification allows other participants to prepare for the upcoming change, maintaining session flow while ensuring awareness of participant presence changes.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP4604457A1Generative communication session event effects
Publication Date: 2025.08.20 MICROSOFT TECHNOLOGY LICENSING LLC
  • EP4604457A1 patent drawingFigure 1
  • EP4604457A1 patent drawingFigure 2A
  • EP4604457A1 patent drawingFigure 2B

AI summary

In examples, an "event effect" is an introductory segment that is an intro for a communication participant and/or an exit segment that is an outro for a communication participant. At least a part of the segment may be produced using a generative machine learning model, for example to incorporate a likeness of the participant into the segment, to generate a segment that is based on or otherwise relates to a user's background, and/or to generate at least a part of the segment according to a prompt, among other examples. In some instances, an event effect is displayed in advance of the arrival or departure of a communication participant and/or an advance indication is presented prior to displaying the event effect. As a result, other participants are alerted that a participant will soon join or leave the communication session accordingly.