Terms of Use Verification System for Access Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users often unknowingly agree to unfavorable Terms of Use, Privacy Policies, and License Agreements when accessing web services or installing software, leading to potential data misuse, unexpected charges, and compliance issues, especially affecting children and those using services in foreign languages.
Innovation Solution
A system that acquires and performs natural language analysis on accompanying documents, matches terms with an access control policy, and controls access accordingly, ensuring compliance, protecting personal information, and preventing unauthorized usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users click accept or agree button without reading Terms of Use, then service access is quick and easy, but users may unknowingly agree to unfavorable terms leading to data misuse and unexpected charges
Solution Approach 1:
The system performs preliminary analysis of the Terms of Use document before the user completes registration, identifying unfavorable terms in advance. This allows the system to prepare appropriate warnings or notifications to be presented to the user during the registration process, ensuring users are informed before they commit to the service.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between the Terms of Use document and the user. This intermediary analyzes the document content, extracts key unfavorable terms, and presents them to the user in an understandable format, facilitating informed consent without requiring the user to read the entire legal document.
2Reliability
If Terms of Use contain detailed conditions and terms, then service provider protection is improved, but user understanding and compliance become more difficult
Solution Approach 1:
The system segments the complex Terms of Use document into distinct components or sections, analyzing each separately to identify unfavorable terms. This segmentation allows the system to present only the relevant concerning terms to the user rather than the entire document, making it easier for users to understand and review specific clauses that affect their rights and obligations.
Solution Approach 2:
The patent applies local quality by treating different sections of the Terms of Use document differently based on their content. F unfavorable terms are identified and highlighted with appropriate warnings or explanations, while neutral or favorable terms are not emphasized. This selective approach ensures users focus on the most important information without being overwhelmed by the entire document.
3Extent of automation
If automatic fee charging and service period extension are allowed, then service provider convenience is improved, but user control and awareness are reduced
Solution Approach 1:
The system implements feedback mechanisms that notify users about automatic fee charging and service period extension clauses in the Terms of Use. When such terms are detected, the system provides warnings and explanations to users, allowing them to make informed decisions about whether to proceed with registration. This feedback loop maintains automation while preserving user awareness and control.
4Adaptability or versatility
If foreign web services are used without localization, then service availability is improved, but user comprehension of Terms of Use decreases
Solution Approach 1:
The patent introduces an intermediary translation and analysis system that bridges the language barrier between foreign Terms of Use documents and users. This intermediary not only translates the document but also analyzes the translated content to identify unfavorable terms, presenting both translation and analysis results to the user in their native language, thereby maintaining service availability while improving comprehension.
Data Source
AI summary
Provided are techniques in which a document accompanying a service is acquired, a natural language analysis is performed on the acquired document, a determination is made from the results of the natural language analysis whether an item defined in the access control policy is found in the acquired document and, when the item defined in the access control policy is found in the acquired document, the access control policy is referenced and access to the service controlled accordingly.