Avatar Generation Using Activity-Based Psychographic Estimation

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Solution Overview

Problem

Existing avatar generation techniques require users to input psychographic data, increasing their burden and making it difficult to acquire such data, especially when security issues are present.

Innovation Solution

An avatar generation apparatus that acquires activity data to estimate psychographic data, allowing it to generate avatars without requiring direct user input, using data estimation units to determine appearance features based on user activity data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users are requested to input psychographic data directly, then the avatar can reflect user preferences accurately, but the user burden and time required increase significantly

Engineering Contradiction:

Improveaccuracy of psychographic dataVSAvoiduser time and effort for data input

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary data collection by gathering activity data from various sources (social media, browsing history, purchase records) before avatar generation is requested. This pre-collection of psychographic indicators eliminates the need for users to input data at the moment of avatar creation, thereby reducing user burden while maintaining data accuracy for personalized avatar generation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces activity data as an intermediary between direct user input and psychographic analysis. Instead of asking users to directly input their preferences, the system analyzes objective activity data (browsing history, social media interactions, purchase patterns) to infer psychographic characteristics, thus reducing user effort while achieving accurate personality and preference profiling.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If psychographic data is stored in advance in a management apparatus, then avatar generation can utilize this information, but acquiring such data becomes difficult due to security issues

Engineering Contradiction:

Improveease of avatar generationVSAvoiddata acquisition reliability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system segments psychographic data collection into multiple independent sources rather than relying on a single centralized storage apparatus. Activity data is collected from various channels (social media platforms, browsing history, purchase records, app usage) and processed separately, then integrated for avatar generation. This segmentation reduces security risks associated with centralized data storage while maintaining ease of avatar generation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system uses activity data as an intermediary layer between direct psychographic data collection and avatar generation. Instead of directly accessing sensitive user profiles stored in management apparatuses, the system analyzes objective behavioral data from multiple sources, which serves as a secure intermediary that preserves user privacy while enabling accurate personality inference for avatar creation.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Extent of automation

If the system processes and analyzes user data to estimate psychographic characteristics, then personalized avatars can be generated automatically, but the system complexity increases

Engineering Contradiction:

Improveautomation level of avatar generationVSAvoidsystem complexity for data processing

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The system implements a multi-functional data processing framework that handles multiple types of activity data (social media interactions, browsing history, purchase records, app usage patterns) through a unified analysis pipeline. This universal approach allows the same core processing architecture to handle diverse data sources, reducing overall system complexity while achieving high automation in psychographic estimation and avatar generation.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system employs self-service mechanisms where the avatar generation process automatically collects, analyzes, and processes user activity data without requiring manual intervention. The system self-manages data integration from multiple sources, automatically infers psychographic characteristics using analysis models, and generates personalized avatars autonomously, thereby reducing operational complexity while maintaining high automation levels.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12541903B2Avatar generation apparatus, avatar generation method, and program

Publication Date: 2026.02.03 NEC CORP

AI summary

Provided are an avatar generation apparatus, an avatar generation method, and a program that can reduce a user's time and effort when generating an avatar suitable for the user. An avatar generation apparatus includes: a data acquisition unit that acquires activity data of a user; a data estimation unit that estimates psychographic data of the user from the activity data of the user being acquired by the data acquisition unit; and an avatar generation unit that determines an appearance feature of an avatar by using the psychographic data estimated by the data estimation unit and thereby generates an avatar of the user.