Voice Response System Forced Sleep State via Context Analysis
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Solution Overview
Problem
AI voice response systems are often always active and cannot be easily placed into a dormant mode, even after receiving a voice command, which may not align with user preferences in various contexts such as studying or discussing sensitive topics.
Innovation Solution
A method that uses a voice response model trained on user interactions and context data to determine whether to place the voice response system in a sleep state, even if a voice command is given to activate it, based on current context analysis and predefined policies, such as during study time or sensitive discussions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the voice response system is always active to receive voice commands, then the system responsiveness is improved, but the user privacy and distraction-free environment deteriorate
Solution Approach 1:
The system dynamically transitions between awake and sleep states based on real-time context analysis. The voice response system monitors context data (time of day, user activities, environmental conditions) and adjusts its operational state accordingly, making it adaptive rather than static in its responsiveness.
Solution Approach 2:
The system continuously monitors context data and uses this feedback to determine whether to respond to voice commands. The context analysis module processes ongoing information about user activities and environmental conditions, providing feedback that influences the system's decision to remain awake or enter sleep mode.
2Ease of operation
If the voice response system responds to all voice commands, then the ease of operation is improved, but the adaptability to user context deteriorates
Solution Approach 1:
The system applies different response qualities to different contexts. Instead of uniformly responding to all voice commands, it selectively responds based on local context conditions such as time of day, user activities, and environmental factors, providing tailored responsiveness to each situation.
Solution Approach 2:
The system changes its operational parameters (awake/sleep state) based on context data. The context analysis module evaluates various parameters including time, user activities, and environmental conditions, and adjusts the system's responsiveness parameter accordingly to balance ease of operation with contextual adaptability.
3Object-affected harmful factors
If the voice response system uses context analysis to determine sleep state, then the privacy protection is improved, but the device complexity increases
Solution Approach 1:
The context analysis module serves multiple functions: it monitors user activities, determines appropriate sleep states, analyzes environmental conditions, and makes informed decisions about system responsiveness. This multi-functional approach consolidates complexity into a single module rather than requiring separate systems for each function.
Solution Approach 2:
The system uses its own collected context data to make autonomous decisions about its operational state. The context analysis module processes information gathered from sensors and user interactions to automatically determine when to enter sleep mode, reducing the need for external control mechanisms.
Data Source
AI summary
Embodiments generally relate placing a voice response system into a forced sleep state. In some embodiments, a method includes receiving a voice command from a given user to place a voice response system in a woke state. The method further includes obtaining current context data, and analyzing the current context data using a voice response model trained using a voice response corpus that incorporated a history of interactions and context data by one or more users with the voice response system. The method further includes, from the analysis of the current context data using the voice response model, determining whether the voice response system is to be placed in the woke state; and, responsive to determining that the voice response system is not to be placed in the woke state, placing the voice response system in a sleep state contrary to the voice command.