Biometric Content Adjustment via Mental State Classification
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Solution Overview
Problem
Existing methods for presenting content to individuals are limited by inaccurate personal logs and self-reporting, which fail to accurately measure emotional and cognitive responses, leading to ineffective adaptation of media content to user experiences.
Innovation Solution
The system measures biometric responses using modality sensors and adjusts content based on determined mental states by setting and adjusting thresholds and baselines, combining response classifications to modify or replace content to enhance user engagement and positivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personal logs and self-reporting are used to measure emotional and cognitive responses, then the system is simple to operate, but the measurement precision is poor due to inaccuracies and biases
Solution Approach 1:
The patent replaces self-reporting mechanisms with biometric sensing systems that automatically measure physiological responses. Sensors detect electrical, mechanical, or optical signals from the body (such as heart rate, skin conductance, eye movements) to objectively determine emotional and cognitive states without requiring user input, thereby eliminating human bias while maintaining system usability through automated processing.
Solution Approach 2:
The patent introduces biometric sensors as intermediary devices between the user and the content delivery system. These sensors serve as mediators that translate internal physiological states into measurable external signals, allowing the system to indirectly assess emotional and cognitive responses with high precision without direct user reporting.
2Productivity
If content is adjusted in real-time based on biometric responses, then user engagement is improved, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The patent divides the response measurement into multiple independent biometric channels (electrical sensors for skin conductance, mechanical sensors for heart rate, optical sensors for eye movements). Each sensor type independently measures a specific physiological parameter, and the system processes these segmented measurements separately before integrating them to determine overall emotional and cognitive states, making the complex system manageable and modular.
Solution Approach 2:
The patent employs biometric sensors that serve multiple functions: they detect various physiological parameters (heart rate, skin conductance, eye movements), classify emotional states, assess cognitive engagement, and trigger content adjustments. This multi-functionality reduces the need for separate specialized devices for each measurement type, thereby managing complexity while achieving comprehensive user response monitoring.
3Adaptability or versatility
If thresholds and baselines are continuously adjusted based on user responses, then the adaptability of content delivery is improved, but the processing time and computational requirements increase
Solution Approach 1:
The patent establishes baseline biometric measurements during an initial period before content delivery begins. These preliminary baseline values are stored and used as reference points for subsequent real-time comparisons. By pre-processing and storing baseline data, the system avoids the need to calculate new baselines during content delivery, thereby reducing real-time processing time while maintaining adaptability through continuous comparison against established baselines.
Solution Approach 2:
The patent implements a feedback mechanism where biometric responses are continuously measured, compared against stored baselines and thresholds, and used to dynamically adjust content delivery. The system processes deviations from baseline values and triggers content modifications when predefined thresholds are exceeded, enabling real-time adaptability through efficient feedback loops that minimize computational overhead by using threshold-based decision rules rather than complex continuous optimization.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture to adjust content presented to an individual are disclosed. An example system includes a first modality sensor to measure a first response of an individual to first content during a first time frame and a second modality sensor to measure a second response of the individual to the first content during the first time frame. The first modality sensor is to measure a third response of the individual to first content during a second time frame, and the second modality sensor is to measure a fourth response of the individual to the first content during the second time frame. The example system also includes a mental classifier executing instructions to determine a first mental classification of the individual based on a first comparison of the first response to a first threshold and a second comparison of the second response to a second threshold. The mental classifier also is to determine a second mental classification of the individual based on a third comparison of the third response to a third threshold and a fourth comparison of the fourth response to a fourth threshold. In addition, the mental classified is to determine a mental state of the individual based on a degree of similarity between the first mental classification and the second mental classification. The example system also includes a content modifier to at least one of modify the first content to include second content or replace the first content with second content based on the mental state.