Custom Activation Cue Uniqueness Analysis
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Solution Overview
Problem
Current voice-controlled devices face challenges in allowing users to create personalized activation cues that are phonetically unique while avoiding conflicts with common dialogue and names, leading to potential false activations and an unnatural user experience.
Innovation Solution
A method that analyzes contextual information to evaluate the phonetic uniqueness of a customized activation cue, providing feedback and suggesting alternatives to ensure the cue is adequately unique, thereby enhancing user experience and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allowed to customize activation cues freely, then user comfort and personalization improve, but false activations increase due to lack of phonetic uniqueness
Solution Approach 1:
The system analyzes the phonetic characteristics of the customized activation cue against contextual information (common dialogue, names, commands) and provides feedback to the user about potential conflicts. This feedback loop allows users to refine their choices to achieve both personalization and reliability.
Solution Approach 2:
The system performs preliminary analysis of the activation cue's phonetic characteristics before finalizing the customization. By checking for conflicts with common phrases, names, and commands in advance, the system prevents false activations while maintaining user comfort.
2Reliability
If standard activation phrases are used, then reliability improves by avoiding false positives, but user comfort deteriorates due to repeated uncomfortable phrases
Solution Approach 1:
The system applies different evaluation criteria to different aspects of the activation cue. It maintains strict phonetic uniqueness requirements for reliability while allowing flexibility in other aspects like phrase structure and wording to improve user comfort.
Solution Approach 2:
The system dynamically adjusts the evaluation of activation cues based on the specific contextual information available. Rather than using fixed rules, it adapts the uniqueness assessment to the user's specific environment, common phrases, and naming patterns.
3Reliability
If activation cues are made more unique, then false positives decrease, but the difficulty of selecting an comfortable phrase increases
Solution Approach 1:
The system automatically performs the complex analysis of phonetic uniqueness and contextual conflicts without requiring users to manually evaluate multiple factors. Users simply provide their preferred phrase, and the system handles the complexity of ensuring uniqueness while maintaining comfort.
Data Source
AI summary
One embodiment provides a method, including receiving, at an audio capture device, a customized activation cue; identifying, using a processor, contextual information associated with a user; analyzing, using the contextual information, characteristics of the customized activation cue; identifying, based on the analyzation, a uniqueness associated with the customized activation cue; and responsive to said identifying, notifying a user that the customized activation cue has inadequate uniqueness. Other aspects are described and claimed.