Adaptive Computer Personality Phrase Selection

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Solution Overview

Problem

Existing computer-based applications lack adaptability in their user interfaces, failing to adjust their 'personality' over time based on user interactions, which limits their engagement and ability to convey a sense of awareness and introspection.

Innovation Solution

A method and system for adaptive computer-based personalities that utilize adaptive recombinant systems to automatically select and update phrases in communications based on user behaviors, enabling self-awareness and awareness of changes in user behavior over time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If computer-based applications use traditional non-adaptive user interfaces, then the system complexity is low and ease of manufacture is high, but the adaptability to user behaviors and engagement level is poor

Engineering Contradiction:
Improveadaptability to user behaviorsVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic adaptation by continuously monitoring user interactions and automatically adjusting the computer-based personality's communications over time. The system transitions from static pre-programmed responses to dynamic behavior that evolves based on observed user patterns, making the interface adaptable without requiring complex manual reconfiguration

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs self-adaptation by automatically analyzing user behaviors and modifying its own communication style without external intervention. The computer-based personality independently adjusts its phrase selection and communication patterns based on observed user responses, eliminating the need for manual programming of adaptive behaviors

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If computer-based applications implement adaptive personalities that evolve over time, then user engagement and sense of awareness are improved, but the device complexity and computational requirements increase

Engineering Contradiction:
Improvepersonality adaptabilityVSAvoidcomputational complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the adaptive personality system into distinct modular components: user behavior monitoring module, phrase frequency distribution module, and communication generation module. Each component handles a specific aspect of the adaptation process, reducing overall system complexity while maintaining adaptive capabilities through coordinated operation of simpler sub-systems

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system achieves adaptability by dynamically changing parameters such as phrase frequency distributions and communication styles based on user behavior analysis. Rather than restructuring the entire system, the patent modifies specific parameters like phrase selection probabilities and communication timing to create the effect of personality evolution with minimal computational overhead

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUSRE50381E1Computer-based communication generation using phrases selected based on behaviors of communication recipients
Publication Date: 2025.04.15 GULA CONSULTING LLC
  • USRE50381E1 patent drawing
  • USRE50381E1 patent drawing
  • USRE50381E1 patent drawing

AI summary

A method and system for generating adaptive explanations for associated recommendations is disclosed. The adaptive explanations comprise a syntactical structure and associated phrases that are selected in accordance with usage behaviors and/or inferences associated with usage behaviors. The phrases included in an adaptive explanation may be selected through application of a non-deterministic process. The adaptive explanations may be beneficially applied to recommendations that are associated with content, products, and people, including recommendations that comprise advertisements.