ERP Latency Analysis for User Disappointment Detection
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Solution Overview
Problem
Conventional appliances that use biological signals to modify content selection based on user disappointment do not accurately determine the nature of disappointment, leading to potential mismatch with user expectations.
Innovation Solution
An information processing system that measures event-related potentials in electroencephalograms to determine the elapsed time until a positive peak appears, distinguishing between disappointment related to content genre or content type, and adjusts content selection accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the appliance modifies response content based on binary determination of user disappointment, then the appliance can respond to user dissatisfaction, but the modified content may still not match user expectations because the nature of disappointment is not accurately determined
Solution Approach 1:
The patent segments the determination of user disappointment into two distinct temporal phases based on event-related potential (ERP) latency: early disappointment (first time range) and late disappointment (second time range). This segmentation allows the system to differentiate between different natures of disappointment and select appropriate modification strategies for each type.
Solution Approach 2:
The patent changes the parameter of time measurement by measuring the latency period of ERP signals to distinguish between different types of disappointment. By using temporal parameters of neural response rather than simple binary detection, the system can identify the specific nature of user dissatisfaction and apply targeted content modifications.
2Measurement precision
If the user provides precise instructions to specify desired content, then the appliance can provide accurate content, but the user must perform very complicated tasks
Solution Approach 1:
The patent enables the system to automatically detect and interpret user intentions through ERP signal analysis without requiring users to perform complicated explicit specification tasks. The system serves itself by using neural response measurements to infer what content the user wants, eliminating the need for complex user input while maintaining high precision in content selection.
Solution Approach 2:
The patent replaces the mechanical interaction system (where users must manually specify content through complex operations) with a physiological signal-based system. By substituting manual specification tasks with automatic ERP-based intention detection, the system achieves both high precision and ease of operation.
3Measurement precision
If the appliance requests further information from the user to clarify content preferences, then the content selection can be more accurate, but the user experience becomes more complex and time-consuming
Solution Approach 1:
The patent implements a feedback mechanism using ERP signals to continuously monitor user satisfaction and automatically adjust content selection. Instead of requesting additional information from users, the system receives real-time neural feedback that indicates whether the current content matches user expectations, allowing for automatic refinement without user intervention.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively modifies content selection to align with user expectations by identifying the specific aspect of disappointment, providing a more appropriate response.
Implementation Method 1
a signal detection section for measuring a signal concerning an event-related potential of electroencephalograms of the user
Data Source
AI summary
There is provided a technique which, in the case where the operation has not occurred in a manner as expected by the user, determines from which standpoint the operation was not as expected, and makes a response that is closer to the expectation.An information processing system according to the present invention includes: a reaction section for executing a first process based on a request from a user; an output section for outputting a result of a process; a signal detection section for measuring a signal concerning an event-related potential of electroencephalograms of the user; an analysis section for identifying a positive peak in the event-related potential and determining whether an elapsed time since the result is output and until the peak appears is closer to a first reference time or a second reference time; and a reaction modifying section for determining a second process in accordance with the determination result. This determination result indicates a degree of disappointment of the user, and the second process is to be determined in accordance with the degree. By the reaction section executing the second process, an operation is realized which conforms to the user's expectation even if the operation has not occurred in a manner as expected by the user.