Shared Link Assistant for Remote Session Resource Access
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Solution Overview
Problem
Conventional web conferencing applications require presenters to manually share resource links with attendees, which can be distracting and error-prone, disrupting the user experience due to the need for additional steps like copying and pasting links, and can lead to difficulties in navigating multiple open windows.
Innovation Solution
A system that includes a shared link assistant to detect gestures indicative of an intent to share resources within a remote session, extract information for accessing resources from shared content using image and text recognition, and provide this information to other attendees' devices, allowing them to access resources directly through applications like browsers or media players.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If presenters manually share resource links with attendees, then resource access is provided, but user experience deteriorates due to distractions and errors from copying and pasting links
Solution Approach 1:
The system automatically detects resource links within shared content and extracts access information without requiring presenter intervention. The presenter simply shares content, and the system self-services by identifying and distributing resource links to attendees automatically.
Solution Approach 2:
The system acts as an intermediary between the shared content and attendees. It captures the shared content, performs image and text recognition to extract resource links, and automatically distributes the extracted information to attendees, eliminating the need for manual copying and pasting.
2Loss of information
If presenters manually copy and paste links, then resource access is enabled, but productivity decreases due to additional steps and window navigation
Solution Approach 1:
The system performs preliminary actions by automatically detecting and extracting resource links from shared content before attendees need them. This eliminates the need for presenters to manually prepare and distribute links during the presentation flow.
Solution Approach 2:
The system merges the resource sharing process with the content sharing process. Instead of separate actions for sharing content and sharing links, both are combined into a single automated workflow where resource links are extracted and distributed alongside the shared content.
3Measurement precision
If automated image and text recognition is used to extract resource information, then accuracy of resource access information is improved, but system complexity increases
Solution Approach 1:
The system replaces manual mechanical processes (copying and pasting links) with automated optical and text recognition systems. Image recognition algorithms analyze visual content to identify resource links, while text recognition algorithms extract textual link information, both automatically.
Solution Approach 2:
The system introduces an intermediary processing layer that handles the complexity of image and text recognition. This intermediary layer captures shared content, performs automated recognition and extraction, and delivers results to attendees, isolating the complexity from both presenters and attendees.
Data Source
AI summary
A method may include detecting, within a remote session, a gesture indicative of an intent of a participant in the remote session to share a resource included within content being shared by a first client device participating in the remote session. The resource may be available on a network. In response to detection of the gesture, information for accessing the resource may be extracted from an image of the content. At least a portion of the information may be provided to a second client device participating in the remote session to enable the second device to access the resource. Related systems and articles of manufacture are also provided.