Multi-sensory Content Authorship Aid Using Location Data
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Solution Overview
Problem
Content authors often face challenges in developing well-crafted content due to stalled creative processes, leading to the inclusion of poor quality elements, as identifying and presenting meaningful additional content from the vast amount of electronic content is difficult.
Innovation Solution
A multi-sensory content authorship aid system that monitors user travel locations, calculates a multi-sensory region, selects relevant content based on this region, generates a data model, and recommends additional content to authors, integrating with text editors and social media platforms to enhance content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If authors manually search for additional content from vast electronic content, then content quality may improve, but time consumption and difficulty increase
Solution Approach 1:
The patent replaces the manual mechanical searching process with an automated computer-based system that uses GPS location data, multi-sensory region calculation, and algorithmic content selection to automatically identify and present relevant additional content to authors, eliminating the time-consuming manual search while maintaining content quality
Solution Approach 2:
The system enables self-service by automatically monitoring author location, calculating appropriate multi-sensory regions, selecting relevant content from corpora, and presenting suggestions without requiring author intervention in the search process, allowing authors to focus on creation rather than content discovery
2Productivity
If authors include more elements to complete content, then content completeness improves, but content quality may deteriorate due to rushed decisions
Solution Approach 1:
The system provides feedback to authors by analyzing their location data and automatically suggesting relevant additional content that matches their current context and创作意图, enabling informed decisions about content inclusion that maintain quality while improving completion rate
Solution Approach 2:
The system performs preliminary actions by pre-calculating multi-sensory regions based on author location and pre-selecting relevant content from corpora before authors need it, so that when authors are ready to complete content, high-quality suggestions are already prepared and immediately available
3Loss of information
If the system monitors author location and calculates multi-sensory regions, then content relevance improves, but system complexity increases
Solution Approach 1:
The system achieves universality by using a single integrated platform that combines GPS location monitoring, multi-sensory region calculation algorithms, content corpus management, and automated selection capabilities to handle multiple functions (location tracking, region calculation, content selection, suggestion presentation) through one unified system rather than separate complex subsystems
Data Source
AI summary
A method, computer system, and a computer program product for recommending additional content to an author generating authored content is provided. The present invention may include monitoring a travel location associated with the author. The present invention may include calculating a multi-sensory region based on the travel location and a maximum sense distance value. The present invention may include selecting at least one piece of additional content from a corpus of additional content based on the multi-sensory region. The present invention may include generating a model based on the at least one piece of additional content. The present invention may include selecting a relevant piece of additional content from the data model based on determining a topic associated with the relevant piece of additional content matches an authored topic associated with the authored content. The present invention may include presenting the selected relevant piece of additional content to the author.