Ambience-Aware Digital Assistant Response Generation
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Solution Overview
Problem
Current digital assistants lack the ability to consider the privacy and sensitivity of content and the user's ambience when generating responses, leading to undesirable experiences, such as embarrassment in public spaces or disruption during physical activities.
Innovation Solution
A digital assistant system that determines the ambience and sensitivity of content using parameters like noise, location, and user state to generate appropriate responses, allowing user interaction for confirming whether to reveal sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the digital assistant recites all responses without filtering, then the response delivery is fast and straightforward, but the user experiences embarrassment in public spaces or disruption during physical activities
Solution Approach 1:
The system performs preliminary analysis of the response content and ambience before delivering the response. The ambience awareness module analyzes the current environment and the response content analysis module evaluates the response content in advance to determine appropriate delivery methods, preventing harmful outcomes before they occur
Solution Approach 2:
The patent introduces an intermediary processing layer between the NLG system and the response delivery mechanism. This intermediary includes the ambience awareness module and response content analysis module that mediate between the generated response and its delivery, selecting appropriate delivery methods based on analyzed parameters
2Object-affected harmful factors
If the digital assistant analyzes privacy and sensitivity of content and determines ambience before generating responses, then the user experience is improved by avoiding embarrassment and disruptions, but the system complexity increases
Solution Approach 1:
The system is segmented into distinct functional modules: ambience awareness module that analyzes environment, response content analysis module that evaluates content privacy and sensitivity, and a response delivery mechanism that selects appropriate delivery methods. This segmentation allows each module to handle specific tasks independently
Solution Approach 2:
The digital assistant system is enhanced with multi-functional capabilities that allow it to perform both traditional voice assistant functions and new ambience-aware response analysis functions using the same core architecture, reducing the need for entirely separate systems
Data Source
AI summary
Embodiments herein disclose methods and systems for providing a digital assistant in a device, which can generate responses to commands from a user based on ambience of the user. On receiving a command from the user of the device to perform an action, content stored in the device can be extracted. The embodiments include determining degree of privacy and sensitivity of the content. The embodiments include determining ambience of the user based on ambient noise, location of the device, presence of other humans, emotional state of the user, application parameters, user activity, and so on. The embodiments include generating a response and revealing the response based on the determined ambience and the degree of privacy and sensitivity of the extracted content. The embodiments include facilitating dialog with the user for generating appropriate responses based on the ambience of the user.