Automatic User Interface Model Switching for Mental Model Alignment

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Solution Overview

Problem

Existing user interfaces for digital devices often confuse users due to differing mental models, as they typically require users to adapt to the device's interface model or change the model manually to align with their preferences.

Innovation Solution

A method for automatically detecting user preferences by comparing user input signals with latent interface models, determining the likelihood of each, and switching to the model with the highest likelihood, using a machine learning module that incorporates additional signals like social network preferences and device orientation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a fixed user interface model is used in digital devices, then the device operation is simple and reliable, but users with different mental models find the interface confusing and frustrating

Engineering Contradiction:

Improveinterface consistencyVSAvoiduser acceptance

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent implements dynamic user interface models that can automatically switch between different interface paradigms (e.g., mobile vs. desktop) based on detected user preferences and usage patterns. The system transitions from a static, fixed interface model to a dynamic one that adapts in real-time to user needs, resolving the contradiction between consistency and user acceptance.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes interface parameters such as layout, navigation style, and interaction patterns based on detected user preferences. By modifying these parameters dynamically, the interface maintains reliability through structured changes while improving ease of operation by aligning with individual user mental models.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If multiple user interface models are provided for user selection, then user preferences can be accommodated, but the device complexity and configuration burden increase

Engineering Contradiction:

Improveuser preference matchingVSAvoidinterface configuration

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements a self-service mechanism where the system automatically detects user preferences through usage pattern analysis and autonomously selects the most appropriate interface model. This eliminates the need for manual user configuration while still providing multiple interface models, thereby reducing device complexity and configuration burden.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by pre-configuring multiple interface models and preparing them for automatic selection based on detected user preferences. This preliminary preparation allows the system to quickly adapt to user needs without requiring complex real-time configuration decisions.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If users manually adapt to the existing user interface model, then the interface model remains simple and stable, but user frustration and interaction inefficiency increase

Engineering Contradiction:

Improveinterface stabilityVSAvoiduser adaptation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Instead of requiring users to adapt to the interface model, the patent inverts the adaptation process by having the interface model adapt to the user's mental model. The system detects user preferences and automatically configures the appropriate interface paradigm, eliminating user adaptation time while maintaining interface stability through structured model selection.

Inventive Principle:

Principle #13The other way round (Inversion)

4Ease of operation

If the user interface model is changed to align with user mental models, then user acceptance improves, but the system requires complex detection and switching mechanisms

Engineering Contradiction:

Improveuser acceptanceVSAvoiddetection and switching system

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where the system continuously monitors user interactions and usage patterns to detect preferences. This feedback loop enables automatic detection of user mental models and triggers appropriate interface model switching, improving user acceptance while managing system complexity through event-driven architecture.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10168855B2Automatic detection of user preferences for alternate user interface model

Publication Date: 2019.01.01 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method for automatic detection of user preferences for alternate user interface model includes operating a digital device with an active user interface model and receiving one or more input signals from a user of the digital device. The method includes comparing the one or more input signals with one or more latent user interface models and determining if one of the latent user interface models has a higher likelihood given the one or more input signals than the active user interface models. The method also includes responsively substituting the latent user interface with the highest likelihood given the one or more input signals for the active user interface model.