Computer-Based Human Profile Comparison via Digital Footprints
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Solution Overview
Problem
Current methods for assessing human personality in hiring decisions or social relationships are challenging due to the superficial and private nature of available information, making it difficult to make informed choices while protecting privacy.
Innovation Solution
A computer-based technique compares the configuration, capabilities, and usage data of one individual's computer to a reference individual's, using hardware and software data to create profiles that indicate similarities in behavior and preferences, thereby aiding decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed personal information is collected to improve assessment accuracy, then decision-making quality improves, but privacy concerns worsen
Solution Approach 1:
The patent uses a computer as a proxy copy of the person, collecting data about the computer's configuration, capabilities, and usage patterns instead of direct personal information. This allows assessment of personality traits and work habits through indirect observation of digital footprints, maintaining privacy while enabling accurate evaluation.
Solution Approach 2:
The computer serves as an intermediary between the person and the assessment system. By analyzing the computer's characteristics and usage patterns, the system infers information about the user without directly accessing private personal data, thus mediating between assessment needs and privacy protection.
2Loss of information
If public affiliation data is collected to improve assessment, then information availability improves, but the depth of understanding worsens
Solution Approach 1:
The patent segments the assessment into multiple dimensions: hardware configuration, software installation, usage patterns, and maintenance behavior. Each segment provides specific insights into different aspects of the person's characteristics, collectively forming a comprehensive profile that goes beyond superficial public affiliations.
Solution Approach 2:
The patent moves from two-dimensional public affiliation data to multi-dimensional analysis including technical specifications, usage frequency, temporal patterns, and contextual information. This dimensional expansion enables deeper understanding of personality traits and work habits through detailed examination of digital behavior patterns.
Data Source
AI summary
A test person is compared to a reference person by comparing detailed information regarding the configuration, capabilities and usage of computers—such as installed hardware devices, makes and models and firmware versions of such hardware devices, installed software, versions of installed software, and usage logs—used by the respective individuals. In effect, each person's computer is considered a proxy for the person herself, representing countless purchasing, maintenance, pastime choices in the configuration and use of a thoroughly complex personal and professional tool.