Biometric Transaction Emotional State Detection System
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Solution Overview
Problem
Current systems lack the ability to determine when impulsive purchases are made due to emotional factors and do not provide real-time feedback or interventions to users.
Innovation Solution
A system that processes biometric data and transaction data using a model trained on historical data to determine a user's emotional state during a transaction, enabling actions such as confirmation requests or incentives based on the emotional state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a system processes biometric data and transaction data to determine emotional state in real-time, then the ability to detect impulsive purchases improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The system segments the emotional detection process into distinct components: biometric data collection (heart rate, skin conductance, facial expressions), transaction data collection, emotional state determination through model application, and intervention execution. This segmentation allows each component to be optimized independently while maintaining overall system precision.
Solution Approach 2:
The patent introduces an intermediary computational model that processes raw biometric and transaction data to determine emotional states. This intermediary layer translates complex physiological signals into interpretable emotional states, enabling accurate detection without requiring the entire system to directly handle raw data complexity.
2Measurement precision
If biometric devices continuously monitor users during transactions, then emotional state detection accuracy improves, but the loss of time for transaction completion increases
Solution Approach 1:
The system employs periodic sampling of biometric data during transactions rather than continuous monitoring. Biometric devices capture physiological signals at specific intervals, and the computational model processes these periodic measurements to determine emotional states, balancing detection accuracy with transaction speed.
Solution Approach 2:
The system performs preliminary emotional state assessments before the transaction is fully completed. By determining emotional states during the transaction process rather than after, the system can intervene in real-time to prevent impulsive purchases without adding post-transaction delays.
3Reliability
If the system implements real-time emotional state monitoring and intervention, then the ability to prevent impulsive purchases improves, but the ease of operation for users decreases
Solution Approach 1:
The system implements feedback mechanisms where the determined emotional state is communicated back to influence transaction outcomes. When impulsive purchasing is detected through biometric indicators, the system provides feedback by delaying transaction completion or requiring additional verification, allowing users to reconsider their purchasing decisions.
Solution Approach 2:
The system applies preliminary anti-action by implementing protective measures before impulsive purchases are finalized. When the computational model detects emotional states associated with impulsive buying, the system proactively intervenes by requiring additional authentication steps or cooling-off periods, preventing the harmful action before it occurs.
Data Source
AI summary
Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.