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
Engineering 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
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.
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
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.
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
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.
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
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.
Data Source
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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.