Audience Attention Model for Collaborative Meeting Engagement
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Solution Overview
Problem
Existing video conferencing and collaborative meeting tools struggle to effectively engage large audiences with relevant content, as different groups of users with varying professions and experience levels have distinct preferences.
Innovation Solution
A system that captures user actions during online collaborative meetings, creates an audience attention model, and modifies the presentation content display based on user characteristics, such as profession type and experience level, to provide personalized feedback to the meeting host.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single presentation content is displayed to all users during online collaborative meetings, then the device complexity is reduced and ease of operation is improved, but the adaptability to different user groups with varying professions and experience levels deteriorates
Solution Approach 1:
The system segments the audience into different user groups based on profession type and experience level. By dividing the homogeneous presentation delivery into heterogeneous group-specific deliveries, the system achieves adaptability to different user groups while managing complexity through automated segmentation logic rather than manual customization for each user.
Solution Approach 2:
The presentation content display is made dynamic by automatically adjusting it based on real-time analysis of user characteristics. The system dynamically modifies what content is displayed to different users or groups without requiring static pre-configuration for each possible user scenario, thus achieving adaptability while keeping the system relatively simple.
2Adaptability or versatility
If presentation content is customized for each individual user based on their characteristics, then the adaptability to different user preferences is improved, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The system implements self-service by automatically analyzing user characteristics and determining appropriate presentation content modifications without requiring the meeting host to manually configure settings for each user. The system serves itself by autonomously making personalization decisions, thus achieving high adaptability while maintaining ease of operation for the host.
Solution Approach 2:
The system uses feedback mechanisms to continuously monitor user characteristics and adjust presentation content accordingly. By incorporating real-time feedback about user profiles, profession types, and experience levels, the system achieves personalized content delivery automatically, reducing the operational burden on the meeting host while maintaining high adaptability.
3Measurement precision
If the system captures and analyzes multiple user actions to create audience attention models, then the measurement precision of user engagement is improved, but the loss of time for data processing increases
Solution Approach 1:
The system applies partial action by selectively capturing and analyzing only the most relevant user actions that indicate engagement levels, rather than processing every possible user interaction. This approach achieves sufficient measurement precision for determining distraction levels while minimizing the time loss associated with comprehensive data processing of all user activities.
Data Source
AI summary
An embodiment for determining presentation content effectiveness using attraction modeling is provided. The embodiment may include receiving presentation content from a meeting host during on online collaborative meeting. The embodiment may also include capturing one or more actions of one or more users during a display of the presentation content to the one or more users. The embodiment may further include creating an audience attention model. The embodiment may also include in response to determining at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user. The embodiment may further include categorizing the one or more users into one or more groups. The embodiment may also include providing visual feedback to the meeting host.