Training Content Personalization Using Similar User Form Histories

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Solution Overview

Problem

Existing form improvement systems do not allow users to anticipate the gradual effects of future training sessions based on advice, limiting the effectiveness of form enhancement.

Innovation Solution

An information processing device that extracts similar users from a database based on attributes, selects an exemplar user with improved form scores, and provides the target user with content from their training sessions to facilitate form improvement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If form improvement advice is provided based on skeletal data comparison, then users receive guidance on correcting their form, but users cannot anticipate the gradual effects of future training sessions

Engineering Contradiction:

Improveinformation on training effectsVSAvoidtime to observe form improvement

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary action by selecting and providing training content from exemplar users before the target user completes their training sessions. This allows users to anticipate the gradual effects of future training by viewing content from similar users who have already completed the training, resolving the contradiction between providing form improvement guidance and enabling users to anticipate training effects.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If training content is provided generically, then content can be easily produced, but content does not resonate with users having different attributes and training histories

Engineering Contradiction:

Improvecontent personalizationVSAvoiduser matching system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies local quality by providing different training content to different target users based on their specific attributes (age, gender, body type) and training history. Instead of uniform generic content, each user receives personalized content from exemplar users with similar characteristics, making the content more relevant and effective while using attribute-based matching to manage complexity.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system uses copying by selecting exemplar users whose training content is then provided to target users. This allows the system to leverage real training content from actual users with similar attributes, creating personalized content recommendations without requiring complex generation algorithms, thus balancing adaptability with manageable system complexity.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20260027435A1Information processing device, method of providing content, and recording medium

Publication Date: 2026.01.29 CASIO COMPUTER CO LTD

AI summary

An information processing device includes a memory to store a program and at least one processor to execute the program. The processor extracts, based on information on a target user, similar members similar to the target user, from fellow members involved in a form improvement facilitating service. The processor selects an exemplar member having improved through training sessions from the similar users, based on a history of training sessions for improving form of the similar users. The processor provides the target user with content related to the training sessions performed by the exemplar member.