Gesture-Based Contextual Information Extraction System
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Solution Overview
Problem
Conventional systems require users to explicitly identify text for information retrieval, which is cumbersome and not intuitive for non-technical or novice users, leading to frustration.
Innovation Solution
A system that uses a gesture to select an object, extracts relevant information, and presents contextually relevant data by packaging the extracted object with additional contextual information to assist in generating a search query, thereby providing intuitive information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems require explicit text identification for information retrieval, then search accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs preliminary extraction of text, images, and contextual information from the webpage before the user initiates a search. This pre-packaging of data includes identifying the selected object, extracting surrounding text, and gathering metadata in advance, so that when the user gestures, the search can immediately use this prepared information without requiring the user to manually identify or copy text.
2Productivity
If conventional systems require copying text into search engines, then information retrieval capability is improved, but device complexity deteriorates
Solution Approach 1:
The system merges the web browser, search engine, and information extraction functions into an integrated system. The extraction component, identification component, and search functionality work together as a unified system that automatically processes user selections and generates searches, eliminating the need for separate manual text copying and search initiation steps.
3Measurement precision
If conventional systems use manual text selection, then information precision is improved, but loss of time increases
Solution Approach 1:
The system performs self-service by automatically extracting and identifying information based on the user's selection gesture. The extraction component automatically captures the selected object and surrounding contextual information without requiring the user to manually copy, paste, or type text. The identification component then automatically determines what information to package with the extracted object, eliminating time-consuming manual operations while maintaining precision.
Data Source
AI summary
Described herein are various technologies pertaining to using a gesture to obtain contextually relevant information. Content within an area selected by a gesture is extracted. The extracted content and additional contextual information are packaged, optionally disambiguated, and provided to a search engine. Result(s) provided by the search engine are provided to a user to enrich the user experience.