Automated User Experience Personalization via Dynamic Walkthrough Generation

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Solution Overview

Problem

Current data walkthrough technologies suffer from information overload, inefficiency, and manual construction, leading to a time-consuming and ineffective learning process for users, as they often provide irrelevant information and lack personalized step-by-step guidance.

Innovation Solution

A computer system and method that identifies users through indicative markers, dynamically analyzes input data to generate personalized walkthroughs and tutorials, tailoring steps to user profiles and removing irrelevant information, thereby creating efficient and effective learning experiences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual construction of walkthroughs is used, then customization is possible, but time consumption increases

Engineering Contradiction:

ImprovecustomizationVSAvoidtime consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically generates personalized walkthroughs by analyzing user profiles and selecting relevant content steps without requiring manual construction. The walkthrough generator autonomously adapts content based on user characteristics, eliminating the time-consuming manual process while maintaining customization.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes parameters such as user profile attributes, content relevance thresholds, and selection criteria to automatically generate different walkthroughs for different users. By dynamically adjusting these parameters based on user data, the system achieves customization without manual intervention.

Inventive Principle:

Principle #35Parameter changes

2Loss of information

If comprehensive information is provided in walkthroughs, then knowledge transfer is complete, but information overload occurs

Engineering Contradiction:

Improveknowledge transfer completenessVSAvoidinformation overload

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The system extracts only the most relevant information steps from the comprehensive content based on user profiles and characteristics. By selecting and presenting only necessary steps rather than all available information, the system avoids information overload while maintaining complete knowledge transfer for the user's specific needs.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies different levels of detail and content depth to different steps based on user profiles. Important steps receive more detailed explanations while less critical steps are summarized or omitted, creating localized quality variations that prevent information overload while ensuring complete knowledge transfer where needed.

Inventive Principle:

Principle #3Local quality

3Ease of manufacture

If generic walkthroughs are used, then development is simple, but personalization is insufficient

Engineering Contradiction:

Improvedevelopment simplicityVSAvoidpersonalization

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system creates a universal walkthrough generator that can serve multiple users with different profiles and needs. The same automated system handles personalization for various users without requiring separate development for each user type, maintaining development simplicity while achieving comprehensive personalization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses dynamic content selection and generation that adapts to individual user profiles in real-time. Rather than static generic walkthroughs, the system dynamically adjusts content based on user characteristics, achieving personalization without increasing development complexity through automation.

Inventive Principle:

Principle #15Dynamics

4Quantity of substance

If irrelevant information is included in walkthroughs, then content coverage is comprehensive, but learning efficiency decreases

Engineering Contradiction:

Improvecontent coverageVSAvoidlearning efficiency

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The system applies partial action by selecting only the necessary steps and information relevant to each user's profile rather than including all possible content. This selective approach maintains sufficient content coverage for comprehensive learning while removing irrelevant information that would decrease learning efficiency.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11715384B2Automated personalization of a user experience

Publication Date: 2023.08.01 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Embodiments of the present invention provide a computer system a computer program product, and a computer implemented method. Embodiments of the present invention can identify at least one user in a plurality of users using a plurality of indicative markers. Embodiments of the present invention can then dynamically analyze input data stored on a computing device associated with the identified user and generate an automated personalized walkthrough by tailoring a plurality of steps within the input data to the at least one identified user. Certain embodiments of the present invention can then, in response to generating the automated personalized walkthrough, generate an automated personalized tutorial by aggregating the generated walkthrough and the at least one identified user based on a predetermined threshold of assessment.