Biometric Audio Confirmation for Digital Assistant Notifications
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Solution Overview
Problem
Traditional digital assistants rely solely on auditory feedback for user acknowledgement, which can be disruptive and inefficient, especially in noisy environments or when users are distracted.
Innovation Solution
Utilizing biometric data, such as EEG sensors, to determine if a user has heard an audible notification by comparing pre- and post-notification biometric states, adjusting the notification volume or retransmission based on confidence levels derived from artificial intelligence analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional digital assistants use auditory feedback to confirm user commands, then user acknowledgement is achieved, but the system becomes disruptive and inefficient in noisy environments or when users are distracted
Solution Approach 1:
The patent replaces the auditory feedback mechanism with a biometric detection system. Instead of using sound waves to confirm user reception, the system uses sensors to detect physiological changes in the user's body (such as heart rate, skin conductance, or brain wave patterns) that occur when the user hears and processes the digital assistant's response. This substitution eliminates the harmful auditory disruption while maintaining reliable confirmation of user acknowledgement.
Solution Approach 2:
The patent introduces biometric data as an intermediary between the digital assistant and the user. Rather than directly communicating through sound and expecting acknowledgment, the system uses biometric measurements as a mediator to indirectly detect whether the user has heard and processed the information. This intermediary approach provides reliable confirmation without requiring the user to verbally respond or be exposed to additional auditory stimuli.
2Reliability
If digital assistants retransmit notifications to ensure user reception, then communication reliability improves, but unnecessary retransmissions increase auditory disturbances
Solution Approach 1:
The patent implements a feedback mechanism using biometric sensors that continuously monitor the user's physiological state. When the digital assistant sends a notification, the system immediately checks the user's biometric data for changes indicating that the notification was heard and processed. This real-time feedback allows the system to make informed decisions about whether retransmission is necessary, thereby improving communication reliability while minimizing unnecessary retransmissions and their associated auditory disturbances.
Solution Approach 2:
The patent performs preliminary biometric assessment before deciding whether to retransmit notifications. By checking the user's biometric state immediately after the first transmission, the system can determine in advance whether retransmission is needed, preventing unnecessary auditory disturbances before they occur.
3Measurement precision
If digital assistants require verbal responses for confirmation, then acknowledgement accuracy improves, but the interaction becomes less convenient and more complex
Solution Approach 1:
The patent enables the user's body to serve as its own acknowledgment mechanism. Instead of requiring the user to consciously respond verbally, the system detects involuntary biometric changes that naturally occur when the user hears and processes information. This self-service approach maintains high detection accuracy while significantly improving interaction convenience, as users simply need to be present and listening without needing to actively respond.
Solution Approach 2:
The patent extracts the acknowledgment detection function from the verbal domain and places it in the biometric domain. By separating the detection mechanism from the communication modality, the system can accurately detect acknowledgment through physiological measurements without requiring the user to engage in verbal interaction, thereby maintaining precision while enhancing convenience.
Data Source
AI summary
An approach is disclosed that receives, at a computer system, a set of biometric data readings pertaining to a user of the system. The biometric data readings are received from biometric sensors that are near the user. After receiving the biometric readings, an audible notification is transmitted to the user. Subsequently, a second set of biometric data readings pertaining to the user from the biometric sensors that are proximate to the user. The first and second sets of biometric data readings are compared with the comparison resulting in a confidence level that the user heard the transmitted audible notification. The audible notification is retransmitted in response to the confidence level being below a threshold not retransmitted in response to the confidence level meeting the threshold indicating that the user heard the first transmission.