Tangible Trivia Input and AI Validation for Low-Latency Gameplay

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Solution Overview

Problem

Existing AI-driven trivia games face challenges such as uncontrolled user input leading to inappropriate content, high computational burden, latency issues, and inaccurate or biased responses due to the black-box nature of generative AI models, which disrupt gameplay experience.

Innovation Solution

A controlled interactive game platform using tangible game elements to manage user input, reduce AI calls through caching, and implement a validation framework with multiple AI models to ensure accurate and coherent responses, minimizing latency and errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If general-purpose generative AI models are used to respond to user queries, then the system can handle diverse inputs, but the initial response accuracy is middling and requires query refinement

Engineering Contradiction:

Improvehandling diverse user inputsVSAvoidresponse accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary validation framework between the user query and the generative AI model. This framework includes a validator that checks whether the generated response aligns with the original query intent and provides feedback for refinement, thereby improving response accuracy without limiting the model's ability to handle diverse inputs

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements a feedback mechanism where the validator analyzes the generated response and provides guidance back to the model. This feedback loop allows the model to learn from its mistakes and improve its responses over time, addressing the initial accuracy problem while maintaining versatility

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If AI models process every user query in real-time, then responses can be customized, but latency increases and disrupts gameplay

Engineering Contradiction:

Improvecustomized responsesVSAvoidresponse latency

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-processing and validating queries before they reach the generative AI model. The system prepares validation rules and criteria in advance, so that when a query is generated, the validation process can proceed efficiently without adding significant latency to the gameplay experience

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The validation process is segmented into multiple independent checks that can be performed in parallel. This includes checking query format, validating against known trivia databases, and verifying response coherence separately, which reduces the total validation time while maintaining comprehensive customization

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If uncontrolled user input is accepted, then the system is easy to use, but inappropriate content is generated

Engineering Contradiction:

Improveuser input flexibilityVSAvoidinappropriate content

Core Design Contradiction:

Ease of operationVSObject-generated harmful factors

Solution Approach 1:

The patent introduces an intermediary validation layer that sits between the user input interface and the content generation system. This validator acts as a filter that allows flexible user input while blocking or correcting potentially inappropriate content before it reaches the generative model, thus maintaining ease of use without compromising content quality

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If multiple validation checks are performed on AI outputs, then content accuracy improves, but computational overhead increases

Engineering Contradiction:

Improvecontent accuracyVSAvoidcomputational overhead

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies local quality by performing different validation checks at different stages of the content generation process. Simple format checks are performed early on all outputs, while more computationally intensive accuracy validations are performed selectively on outputs that pass the initial checks or require higher verification, reducing overall computational overhead while maintaining high accuracy standards

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250375711A1Controlled interactive ai-driven question-and-answer generation based on physical game pieces

Publication Date: 2025.12.11 HASBRO INC

AI summary

Systems and methods herein are provided for delivering personalized trivia content in an interactive game using tangible game elements and a digital companion application. Players are enabled to select and scan multiple tangible game elements (e.g., via quick-response codes, ArUco markers, tags, or other identifiers), each representing a game parameter value (e.g., a topic or category), through a client-side user interface of the digital application to create different combinations. The user interface is coupled to a backend host that controls communications between the user interface and a database storing cache records including game content for particular combinations. The backend host queries the database to check for available game content for the selected combination (subject to certain constraints, such as game content not already previously presented to a user). If not, the backend host transmits a query to a generative artificial intelligence model trained to generate new game content.