Multi-touch Gesture Search Context Identification
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Solution Overview
Problem
Users face inefficiencies when searching for related content on computing devices, as they must switch between interfaces and often receive irrelevant results due to the lack of technology that can efficiently identify related content based on context.
Innovation Solution
A system and method that utilizes multi-touch gestures to identify an area of interest on a user interface, evaluates the context of the content within that area, and performs a search to provide related content directly through the client device, enhancing user experience and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users switch between first user interface and second user interface to search for related content, then users can perform searches, but users waste time transitioning between interfaces and may receive irrelevant results
Solution Approach 1:
The patent combines the content viewing function and search function into a single integrated user interface. The first user interface displays both the original content and search results simultaneously, eliminating the need to switch to a separate search application. This merging allows users to perform searches and view results within the same interface context, reducing interface switching time while maintaining search relevance through contextual awareness.
Solution Approach 2:
The system performs preliminary analysis of the content context before the user actually performs a search. By pre-processing the content to identify key entities, topics, and contextual relationships, the system is ready to immediately generate relevant search results when the user interacts with the content, eliminating the time delay associated with manual search formulation and interface switching.
2Measurement precision
If users manually define search parameters based on recollection of content, then users can perform searches, but users may forget or neglect to search for relevant portions resulting in irrelevant search results
Solution Approach 1:
The system performs self-service by automatically analyzing the content, identifying search-relevant portions, and generating search queries without requiring manual user input. The system extracts key entities, topics, and contextual information from the displayed content and uses this to automatically formulate and execute searches, eliminating the burden on users to manually define search parameters while ensuring comprehensive and accurate search coverage.
Solution Approach 2:
The patent replaces the mechanical process of manual search parameter definition with an automated computational system. Instead of relying on users to manually recall and input search terms, the system uses automated content analysis, entity recognition, and contextual understanding to generate search queries, substituting human cognitive effort with machine intelligence to improve both accuracy and ease of operation.
3Adaptability or versatility
If computing devices lack technology to efficiently identify related content, then device complexity remains low, but user experience decreases and computing resources are inefficiently utilized
Solution Approach 1:
The patent implements a universal content analysis engine that can identify and extract relevant information from multiple types of content (text, images, videos, etc.) using a single integrated system. This multi-functional approach allows the device to handle diverse content types without requiring separate specialized technologies for each, thereby improving content identification capability while controlling the increase in device complexity through shared infrastructure.
Solution Approach 2:
The system dynamically adjusts search and analysis parameters based on the type of content being viewed and the user's interaction patterns. By changing parameters such as search depth, entity recognition sensitivity, and result ranking criteria according to the specific context, the system achieves high adaptability in identifying related content without requiring complex hard-coded rules for every possible scenario, thus managing device complexity effectively.
Data Source
AI summary
One or more systems and/or methods for providing related content associated with a multi-touch gesture to a user are provided. A multi-touch gesture (e.g., a pinch-in gesture, a pinch-out gesture, etc.) may be received through a user interface of a client device (e.g., smartphone, tablet, television, virtual wall, etc.) associated with a user. The multi-touch gesture may be evaluated to identify an area of interest of the user interface (e.g., a portion of user interface containing content of interest to the user). The area of interest may be evaluated to identify context (e.g., keywords, phrases, associated content, etc.) associated with the area of interest. A search of content may be performed based upon the context to identify related content (e.g., news articles, wide-area network search results, local device search results, etc.) associated with the context. The related content may be provided to the user through the client device.