Digital Collaboration Content Routing for Device-Specific Input
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Certain devices in digital collaboration spaces are not optimized for interacting with specific content element types, leading to usability issues such as difficulty in text input on large touchscreen interfaces and limited simultaneous use by multiple users.
Innovation Solution
Implementing content-aware device selection that detects content elements within a digital collaboration space, determines an optimized device type for input based on the content type, and prompts authenticated devices of that type to modify the elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large touchscreen interface is used for digital collaboration space, then the display area and visibility are improved, but text input difficulty and usability deteriorate
Solution Approach 1:
The system introduces an intermediary device (such as a mobile device or keyboard) that mediates between the user and the large touchscreen interface. When text input is detected on the large touchscreen, the system can prompt the user to use a more suitable input device, thereby resolving the contradiction between having a large display area and maintaining ease of text input.
2Productivity
If multiple users access the digital collaboration space simultaneously, then collaboration efficiency is improved, but device resource contention and coordination complexity increase
Solution Approach 1:
The system implements universal access mechanisms that allow multiple device types (mobile devices, tablets, desktops) to simultaneously access and contribute to the same digital collaboration space. The content management system handles device abstraction and coordination, enabling multiple users to work together without increasing perceived complexity for individual users.
3Ease of operation
If content-aware device selection is implemented, then input optimization for specific content types is improved, but system complexity and processing overhead increase
Solution Approach 1:
The system implements self-service mechanisms where the digital collaboration space automatically detects the type of content being created or modified and autonomously selects or prompts for the appropriate input device. This automation reduces the manual complexity for users while maintaining optimized input methods for different content types such as text, drawings, or data entry.
Data Source
AI summary
A method of determining, with a content detection tool, a content element within a digital collaboration space. Determining, with a device type determination tool, a device type for modifying the content element based on a content type associated with the content element. Prompting computing devices, which have access the digital collaboration space, to modify the content element. Modifying the content element within the digital collaboration space based on an input.


