Collaboration Device Dynamic Display Segmentation
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Solution Overview
Problem
Current collaboration devices lack efficient mechanisms for real-time language translation and data management during multilingual meetings, and they do not effectively accommodate varying numbers of participants or provide personalized displays.
Innovation Solution
The collaboration device incorporates a conferencer that processes audio data to identify languages spoken, translates in real-time, and dynamically adjusts displays to accommodate multiple participants by assigning identifiers to speakers and generating separate display windows for each participant, enabling simultaneous translation and personalized data presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single display is used for all participants, then device complexity is reduced, but adaptability to different numbers of participants and personalized data presentation deteriorates
Solution Approach 1:
The display is segmented into multiple independent display windows or regions, each assigned to a specific participant. This allows the single physical display to present personalized data for multiple participants simultaneously, improving adaptability without adding multiple physical displays.
Solution Approach 2:
The display configuration is made dynamic by automatically adjusting the number, size, and position of display windows based on the detected number of participants and their identities. This dynamic adaptation resolves the contradiction by allowing the system to optimize display personalization for any participant count without manual reconfiguration.
2Reliability
If real-time language translation is implemented, then communication effectiveness across languages is improved, but processing time and computational resources increase
Solution Approach 1:
Language translation capabilities are pre-loaded and prepared in the system before meetings begin. The system identifies participant languages in advance and pre-configures translation pipelines, reducing actual translation processing time during the meeting while maintaining effective real-time translation.
3Loss of information
If personalized display windows are created for each participant, then data presentation relevance is improved, but device complexity and processing requirements increase
Solution Approach 1:
A single display device performs multiple functions by dynamically creating, managing, and switching between multiple virtual display windows. Each window provides personalized data for a specific participant, but all windows are managed by one physical display, reducing hardware complexity while improving data relevance.
Solution Approach 2:
The system automatically detects participant identities, determines their language preferences and data needs, and autonomously configures personalized display windows without manual intervention. This self-service approach reduces the operational complexity of managing personalized displays while maximizing data relevance for each participant.
Data Source
AI summary
Collaboration devices are disclosed. An example non-transitory computer-readable medium includes instructions that, when executed, cause a processor to at least cause a display of a collaboration device to display first data associated with a first participant on a first portion of the display; cause the display of the collaboration device to display second associated with a second participant on the first portion of the display or a second portion of the display, the second portion different than the first portion; identify, based on a user input, a command associated with the first data or the second data; and cause the display to display an icon representative of the command proximate to the first data or the second data.