Adaptive Prompting for User Interface Context Awareness

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Solution Overview

Problem

Existing computer user interfaces lack the ability to adaptively present prompting data based on the functional space of a user, leading to inefficiencies in article acquisition decisions.

Innovation Solution

A method that determines when a user selects an article for acquisition, identifies the associated functional space, assesses the article's fit within that space, and interactively generates and presents adaptively generated user interface prompting data to the user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional static user interface prompting data is used, then the system is simple and easy to implement, but the user experience lacks personalization and context-awareness

Engineering Contradiction:

Improveadaptability of prompting dataVSAvoidcomplexity of user interface system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic prompting data that adapts to user context in real-time. The system transitions from static, pre-defined prompts to dynamic prompts generated based on user behavior patterns, functional space identification, and article fitting assessment. This allows the interface to evolve and personalize content without requiring complete system redesign.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple parameters simultaneously including user profile attributes, functional space characteristics, article fitting metrics, and prompting data properties. By dynamically adjusting these parameters based on user interactions and context, the system achieves adaptability while managing complexity through parameter-based control mechanisms.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If the system provides detailed context-specific prompting data, then the accuracy of article acquisition decisions improves, but the amount of information processing and presentation complexity increases

Engineering Contradiction:

Improveaccuracy of article acquisition decisionsVSAvoidinformation processing load

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The patent applies local quality by providing customized prompting data specific to each user's functional space and context rather than generic information. The system identifies relevant functional spaces and assesses article fitting locally for each user situation, delivering precisely targeted information that improves decision accuracy without overwhelming the user with unnecessary data.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs preliminary actions by pre-identifying functional spaces and pre-assessing article fitting before generating prompting data. This advance preparation allows the system to present only the most relevant information at the decision moment, reducing information processing load during actual user interactions while maintaining high accuracy.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If the system assesses article fitting in user functional space, then the relevance of recommendations improves, but the computational requirements and system resources increase

Engineering Contradiction:

Improverelevance of article recommendationsVSAvoidcomputational energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent implements partial action by assessing only the critical fitting attributes of articles in functional spaces rather than exhaustive analysis of all possible parameters. The system identifies key functional space characteristics and evaluates article compatibility on essential dimensions, achieving sufficient recommendation relevance while conserving computational energy through selective assessment.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250037180A1Adaptive prompting

Publication Date: 2025.01.30 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: determining that a user has selected an article for acquisition; in response to the determining that the user has selected the article for acquisition, identifying a functional space of the user associated to the article; in response to the identifying the functional space of the user associated to the article, assessing fitting of the article in the functional space of the user; and interacting with the user in dependence on the assessing fitting of the article in the functional space of the user, wherein the interacting with the user includes adaptively generating user interface prompting data in dependence on the assessing fitting of the article in the functional space of the user, and presenting the adaptively generated user interface prompting data to the user.