Avatar-Based Assistive Bots for Personalized XR Instruction

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional NPCs in extended reality (XR) environments lack the ability to provide evolving instructional capabilities through artificial intelligence, limiting their effectiveness as assistive tools for students.

Innovation Solution

Implementing assistive bots with computer-generated avatars that utilize artificial intelligence to provide evolving instructional capabilities, allowing them to interact with students in XR environments, including VR and MR platforms, by using Large Language Model technologies like ChatGPT™ to adapt their responses based on student interactions and context.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional NPCs are used in XR environments, then the environment can be populated with interactive characters, but the instructional capabilities are limited and do not evolve through AI

Engineering Contradiction:

Improveinstructional capabilitiesVSAvoidAI evolution

Core Design Contradiction:

Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The assistive bot is designed to autonomously learn from student interactions and self-improve its instructional capabilities through AI/ML processes, eliminating the need for manual reprogramming or human intervention to enhance its teaching abilities

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback loops where the assistive bot analyzes student responses and interactions to continuously refine and improve its instructional approach, adapting to individual student needs and learning patterns over time

Inventive Principle:

Principle #23Feedback

2Reliability

If real-world instructors appear in XR environments, then meaningful interaction can be provided, but availability is limited by physical constraints

Engineering Contradiction:

ImproveavailabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates virtual copies of real-world instructors in the form of assistive bots with avatars that replicate teaching behaviors and expertise, allowing unlimited availability while maintaining instructional quality through AI-driven simulation of human teaching

Inventive Principle:

Principle #26Copying

3Adaptability or versatility

If AI/ML processes are integrated into assistive bots, then evolving instructional capabilities are achieved, but the system complexity increases

Engineering Contradiction:

Improveevolving instructional capabilitiesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The assistive bot framework is designed as a universal platform that can adapt to multiple subjects, teaching styles, and student needs through a single integrated AI/ML system, reducing overall system complexity compared to creating separate specialized systems for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12423930B2Systems and methods for using artificial intelligence with assistive bots in extended reality environments

Publication Date: 2025.09.23 CURIOXR INC

AI summary

Assistive bots, such as computer-generated avatars that do not correspond to real world persons, provide automated responses to inquiries about virtual objects and real world objects through the use of artificial intelligence to real world users seeking information in extended reality (XR) environments.