Psychometric Virtual Assistant for Personalized Financial Guidance
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Solution Overview
Problem
Current interactive financial solutions fail to account for users' psychological factors when providing prompts, leading to ineffective user interaction and personalization.
Innovation Solution
A method that defines psychometric data for users through interactive graphical psychometric tests, allowing for the selection of personalized virtual assistants to prompt users with financial options and recommendations tailored to their psychological traits, such as rating financial transactions, savings options, and stress alleviation strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional financial solutions are used, then the system is simple and easy to implement, but user interaction effectiveness and personalization are poor
Solution Approach 1:
The system performs psychometric assessment of users in advance to determine their personality types before providing financial guidance. This preliminary action enables personalized interaction strategies to be applied subsequently, improving adaptability without increasing the complexity of core financial functions.
Solution Approach 2:
The virtual assistant system is segmented into distinct functional modules: psychometric assessment module, personality type determination module, and personalized financial guidance module. This segmentation allows each component to be developed and optimized independently, managing overall system complexity while enabling sophisticated personalization.
2Adaptability or versatility
If psychometric data collection is implemented, then user personalization improves, but user interface complexity and interaction time increase
Solution Approach 1:
The psychometric assessment uses a simplified version of personality evaluation that captures essential user characteristics without requiring comprehensive psychological testing. This partial action approach achieves sufficient personalization accuracy while minimizing the time users must invest in the assessment process.
3Productivity
If personalized virtual assistants are deployed, then user engagement and decision-making quality improve, but computational resources and system complexity increase
Solution Approach 1:
The system applies different levels of personalization and computational processing to different user segments based on their psychometric profiles. Rather than uniformly applying complex algorithms to all users, the system tailors the intensity of personalization to each user's needs and characteristics, optimizing resource utilization while maintaining decision-making support quality.
Data Source
AI summary
A method, computer program product, and computer system for defining, at a computing device, psychometric data for a user. An interactive virtual assistant, selected from a plurality of interactive virtual assistants, may be provided on the computing device based upon, at least in part, the psychometric data defined for the user. The user may be prompted, via the interactive virtual assistant, with one or more options.