Dynamic Emotion Detection via User Input Analysis

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Solution Overview

Problem

Existing methods for receiving user feedback on graphical user interface experiences are intrusive and prone to biases, and analytics tools fail to capture user frustrations effectively.

Innovation Solution

A system that dynamically detects emotional states of users by analyzing user inputs using a sliding window approach and machine learning, providing less intrusive and bias-free feedback to application developers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If surveys are used to collect user feedback, then user experience feedback can be obtained, but user experience is hampered and biases are introduced

Engineering Contradiction:

Improveuser feedbackVSAvoiduser experience

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The system uses passive observation of user interactions with the application rather than actively requesting feedback from users. The emotion detection component automatically analyzes user inputs and determines emotional states without requiring user participation in surveys, thereby eliminating the intrusive nature of traditional feedback collection while still obtaining valuable user experience data.

Inventive Principle:

Principle #25Self-service

2Loss of information

If analytics tools are used to track user activity, then traffic and advertisement targeting can be improved, but user frustrations are not captured

Engineering Contradiction:

Improveuser activity dataVSAvoiduser frustration detection

Core Design Contradiction:

Loss of informationVSMeasurement precision

Solution Approach 1:

The system introduces an emotion detection component that acts as an intermediary between standard analytics tools and user feedback interpretation. This component analyzes user inputs and interaction patterns to infer emotional states, thereby bridging the gap between quantitative activity data and qualitative frustration understanding that traditional analytics tools cannot provide.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If traditional feedback methods are used, then feedback can be collected, but the feedback is intrusive and biased

Engineering Contradiction:

Improveuser feedbackVSAvoidfeedback accuracy

Core Design Contradiction:

Loss of informationVSReliability

Solution Approach 1:

The system replaces the mechanical survey-based feedback collection method with an automated emotion detection system that passively observes and analyzes user interactions. This substitution eliminates human bias in feedback provision while maintaining continuous and accurate capture of user emotional states throughout the application usage experience.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11593243B2Dynamic emotion detection based on user inputs

Publication Date: 2023.02.28 IMPERVA INC

AI summary

A method by a network device for dynamically detecting emotional states of a user operating a client end station to interact with an application. The method includes receiving information regarding user inputs received by the client end station from the user while the user interacted with the application during a particular time period and determining an emotional state of the user based on analyzing the information and information regarding user inputs received by the client end station from the user while the user interacted with the application during one or more previous time periods that together with the particular time period form a time window.