Server-Based Zoom Adjustment for Co-located and Distributed Users
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Solution Overview
Problem
Current solutions for dynamically adjusting zoom settings in multiple user environments are inefficient and cumbersome, requiring manual inputs and multiple transmissions to reach optimal levels, especially in co-located and distributed user scenarios.
Innovation Solution
A server-based system that determines whether users are co-located or distributed, aggregates preferences to set optimal zoom settings for singular or multiple displays, and adjusts them dynamically using machine learning algorithms to predict and adjust content based on user preferences, device types, and viewing contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If preset zoom settings are used, then device complexity is reduced, but user experience and productivity deteriorate due to manual adjustments and multiple transmissions
Solution Approach 1:
The system automatically detects the display device type and determines optimal zoom settings without requiring user input. The server autonomously transmits appropriate zoom parameters based on device identification, eliminating manual adjustment steps and achieving both simplicity and efficiency.
Solution Approach 2:
The server pre-determines optimal zoom settings based on detected device types before the user needs to view content. By performing the zoom configuration in advance based on device characteristics, the system eliminates the time-consuming process of manual adjustment while maintaining simplicity.
2Adaptability or versatility
If manual zoom adjustments are allowed, then adaptability to user preferences is improved, but ease of operation deteriorates due to multiple transmissions and user effort
Solution Approach 1:
The system incorporates user feedback mechanisms where user interactions with zoom settings are monitored and used to refine future zoom recommendations. This allows the system to learn user preferences over time, providing personalized zoom settings that adapt to individual users while requiring minimal manual input.
Solution Approach 2:
The server acts as an intermediary that automatically matches user preferences with device characteristics to determine optimal zoom settings. This mediator eliminates the need for direct user-device negotiation, automatically transmitting appropriate zoom parameters based on aggregated user profile data and device information.
3Productivity
If automated zoom detection is implemented, then productivity is improved, but device complexity increases due to server-based processing
Solution Approach 1:
The server acts as an intermediary that automatically matches user preferences with device characteristics to determine optimal zoom settings. This mediator eliminates the need for direct user preference negotiation, automatically transmitting appropriate zoom parameters based on aggregated user profile data and device information.
Solution Approach 2:
The patent replaces manual mechanical zoom adjustment with an automated digital system. The server-based automated zoom detection and adjustment system substitutes the manual mechanical interaction, using algorithmic processing to determine and apply optimal zoom settings based on device characteristics and user preferences.
Data Source
AI summary
A computer-implemented method, a computer program product, and a computer system for dynamically adjusting zoom settings in a multiple user environment. A server determines whether the multiple user environment is an environment of co-located users or an environment of distributed users. In response to determining the environment of the co-located users, the server determines an aggregated preference, determines an optimal zoom setting for a singular display based on the aggregated preference, and adjusts the singular display based on the optimal zoom setting for the singular display. In response to determining the environment of the distributed users, the server determines optimal zoom settings for respective ones of the multiple displays, based on preferences of respective ones of the distributed users, and the server adjusts the respective ones of the multiple displays, based on the optimal zoom settings for the respective ones of the multiple displays.


