Reliability Overlay for Internet Data Using Viewer Trust Criteria
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Solution Overview
Problem
Users face difficulties in determining the reliability of data on the Internet, as the reliability of added information varies based on user trust and is time-consuming to verify.
Innovation Solution
An operation terminal that displays specific data, receives endorsement data indicating certainty, and determines reliability using a viewer's emphasized viewpoints and trusted organizations, superimposing reliability information on the screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If information is added to data on the Internet to indicate certainty, then data reliability can be confirmed, but the user cannot easily determine whether the added information is reliable
Solution Approach 1:
The patent segments the reliability determination process by dividing it into multiple evaluation dimensions (e.g., source credibility, content accuracy, user feedback). Each dimension is evaluated separately and then aggregated to produce an overall reliability score, making the complex determination process more manageable and understandable for users.
Solution Approach 2:
The patent introduces an intermediary reliability evaluation mechanism that acts as a mediator between the raw data and the user. This intermediary layer processes and evaluates the added information using predefined criteria and algorithms, then presents the evaluated reliability level to the user in an easily interpretable format, thus resolving the contradiction between providing detailed reliability information and maintaining ease of use.
2Reliability
If a large amount of information is displayed to be added to data on the Internet, then data certainty can be confirmed, but it takes time and effort for the user to confirm all the information
Solution Approach 1:
The patent extracts only the most critical and relevant reliability indicators from the large set of available information, presenting them to the user in a condensed and prioritized manner. By taking out and highlighting the key factors that most significantly impact data reliability, the system enables users to quickly assess data certainty without needing to examine all available information.
Solution Approach 2:
The patent uses visual indicators such as color coding (e.g., green for high reliability, yellow for medium, red for low) to represent different levels of data reliability. This visual transformation allows users to instantly grasp the reliability status of data at a glance, eliminating the need to read and analyze large amounts of text-based reliability information.
3Reliability
If information from various sources is added to data, then data certainty can be enhanced, but the reliability varies depending on user trust in the source
Solution Approach 1:
The patent implements a dynamic reliability evaluation system that adapts to individual user preferences, trust criteria, and historical behavior patterns. The system dynamically adjusts the weighting and selection of reliability indicators based on user-specific characteristics, allowing the same data to be evaluated differently for different users. This dynamic adaptation resolves the contradiction by making the reliability assessment both comprehensive (considering multiple sources) and personalized (aligned with user trust criteria).
Data Source
AI summary
An operation terminal includes a first display unit, a reception unit, a determination unit and a second display unit. The first display unit displays, on a screen, specific data uploaded on the Internet. The reception unit receives property data indicating certainty of the specific data. The determination unit determines a degree of reliability of the specific data with respect to the property data using a first storage unit that stores a viewpoint emphasized by a viewer viewing the data. The second display unit displays information indicating the degree of reliability of the specific data on the screen in a superimposed manner.


