Preference Determination Apparatus Using Multi-Sensory Thresholds
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Solution Overview
Problem
Existing methods for evaluating human preferences through brain wave measurements during visual and auditory stimuli are limited in creativity and effectiveness, as they do not fully account for the overall activity of the five senses and the specific conditions that influence sensory preferences.
Innovation Solution
A preference determination apparatus and method that applies visual, tactile, and auditory stimuli, calculates autonomic nervous activity based on biological signals, and compares these activities with pre-set thresholds to determine preference, allowing for simultaneous or intervalled stimulus application and storage of corresponding thresholds for accurate preference assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple stimuli are applied simultaneously to evaluate preference, then the evaluation comprehensiveness is improved, but the measurement complexity increases
Solution Approach 1:
The patent segments the preference evaluation process into two distinct modes: sequential stimulus application (applying multiple stimuli at predetermined intervals) and simultaneous stimulus application. Each mode has its own threshold comparison logic, allowing the system to handle complexity differently based on the evaluation needs while maintaining measurement accuracy.
2Device complexity
If sequential stimulus application is used, then the measurement complexity is reduced, but the evaluation time increases
Solution Approach 1:
The patent implements periodic action by applying multiple stimuli at predetermined intervals in sequential mode, where each stimulus is applied separately with a specific time gap. This periodic application reduces the complexity of simultaneous measurement while systematically evaluating each stimulus's effect on autonomic nervous activity over time.
3Loss of time
If multiple stimuli are applied simultaneously, then the evaluation time is reduced, but the measurement precision requirements increase
Solution Approach 1:
The patent employs feedback mechanisms by comparing the measured autonomic nervous activity levels against pre-stored thresholds specific to each stimulus type and combination. The system adjusts the preference determination based on whether the activity levels exceed these thresholds, providing a feedback-based decision framework that maintains precision even under simultaneous stimulation conditions.
Data Source
AI summary
A preference determination apparatus includes: a stimulation unit configured to apply a visual, a tactile, and an auditory stimuli; an activity calculation unit configured to calculate degrees of autonomic nervous activity based on biological signals for the multiple stimuli respectively; a storage configured to store thresholds of autonomic nervous activity set in advance for the multiple stimuli respectively; and a determination unit configured to determine preference by comparing the calculated degrees of autonomic nervous activity with the corresponding stored thresholds, wherein the determination unit is further configured to determine that the preference is high when each of the calculated degrees of autonomic nervous activity for each of the stimuli is larger than each of the corresponding stored thresholds therefor, and when the calculated degree of autonomic nervous activity for the stimuli applied simultaneously is larger than the corresponding stored threshold therefor.