Crowd-Sourced Document Settings Automation
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Solution Overview
Problem
Users face complexity when interacting with shared electronic documents, as they often need to manually search for and apply common settings and tools, especially on small form factor devices with limited display space, increasing interaction complexity.
Innovation Solution
A digital medium environment that utilizes crowd-sourced information to automatically apply commonly used settings and tools to documents, by tracking interaction patterns across multiple users and devices, and storing this information in a service provider's data store for subsequent use when the document is shared, allowing for default settings and tools to be set based on frequent usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for and apply common settings and tools on shared documents, then users can control their own document interaction, but interaction complexity increases significantly
Solution Approach 1:
The system performs preliminary action by automatically determining and applying common settings and tools before the user needs to interact with the document. The document viewing application proactively identifies frequently used settings from crowd-sourced data and pre-applies them to the shared document, eliminating the need for users to manually search through menu structures or repeatedly execute gestures to find common functionality.
2Productivity
If users repeatedly execute the same zoom gesture or navigate through menu structures, then users can access document functionality, but time consumption increases
Solution Approach 1:
The system implements self-service by automatically determining and applying common settings without requiring user intervention. The document viewing application autonomously queries crowd-sourced information, identifies the most frequently used settings for the shared document, and applies them automatically, freeing users from repetitive manual actions and time-consuming navigation through menu structures or repeated gestures.
3Adaptability or versatility
If the document viewing application collects and transmits interaction information to service providers, then crowd-sourced settings can be improved, but data privacy concerns arise
Solution Approach 1:
The system employs feedback mechanisms where users interact with documents and their interaction patterns are fed back into the crowd-sourced database. The document viewing application collects interaction information, transmits it to service providers, and receives updated crowd-sourced settings back, creating a continuous feedback loop that improves settings adaptability while maintaining user control over data sharing.
Data Source
AI summary
A digital medium environment includes a computing device that is configured to use a document viewing application that includes a user interface to enable a user to view a document. A document that has been shared with multiple users is received by the document viewing application. The document viewing application ascertains whether crowd-sourced information exists for the document. The crowd-sourced information pertains to one or more of settings or tools that have been used on the document by the multiple users. If crowd-sourced information exists, the crowd-sourced information is received and automatically applied to the document. If crowd-sourced information does not exist, settings and tools information associated with interaction with the document is collected and transmitted to a service provider.