Digital Personal Assistant Tailoring Content to User Sensibilities
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Solution Overview
Problem
Users distrust and resist 'smart' digital personal assistants due to cultural, scientific, and privacy concerns, leading to a sub-optimal user experience as these devices lack personalized responses that align with individual morals, ethics, and sensibilities.
Innovation Solution
A method and system that infer user sensibilities and context of use to tailor the presentation of responsive content, ensuring it aligns with the user's values and context, by using a digital personal assistant backend to deduce context and infer sensibilities, and then modify content delivery accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digital personal assistants make inferences to respond to user input, then responsiveness and engagement are improved, but user trust deteriorates due to distrust of artificial intelligence
Solution Approach 1:
The patent introduces an intermediary layer between the AI inference engine and the user that provides explainability and transparency. This intermediary translates complex AI decisions into understandable explanations, allowing users to comprehend how inferences are made while maintaining the system's intelligent responsiveness.
Solution Approach 2:
The system implements feedback mechanisms that allow users to provide input about their trust levels and preferences. This feedback loop enables the system to adapt its inference-making behavior to build user trust over time, adjusting the level of automation based on user comfort and understanding.
2Ease of operation
If digital personal assistants provide smart functionality with inferences, then user experience engagement is improved, but user trust deteriorates due to cultural and privacy concerns
Solution Approach 1:
The patent introduces an intermediary layer between the AI inference engine and the user that provides explainability and transparency. This intermediary translates complex AI decisions into understandable explanations, allowing users to comprehend how inferences are made while maintaining the system's intelligent responsiveness.
Solution Approach 2:
The system proactively addresses trust concerns before they manifest as user resistance. By providing explanations and transparency about inference processes in advance, the system prevents distrust from developing, allowing users to engage with smart functionality without cultural or privacy-related reservations.
3Device complexity
If digital personal assistants use standardized responses, then device complexity is reduced, but adaptability to individual user sensibilities deteriorates
Solution Approach 1:
The patent implements dynamic response generation that adapts to individual user sensibilities. The system adjusts its communication style, level of detail, and topic selection based on inferred user preferences, allowing standardized underlying processes to produce highly personalized interactions without increasing apparent system complexity.
Solution Approach 2:
The system changes multiple parameters of its responses including tone, detail level, topic selection, and communication style to match individual user sensibilities. These parameter adjustments enable the same core AI engine to provide personalized experiences across different users without requiring fundamentally different system architectures.
Data Source
AI summary
Systems, methods, and apparatuses for implementing a digital personal assistant. The digital personal assistant determining that a user has initiated a user experience with it. In response, the digital personal assistant collects information concerning the user's sensibilities about content and a current context in which the digital personal assistant is being used. With that information, the digital personal assistant infers facets of the user's sensibilities and deduces a context of use. With those inferences and that deduction, the digital personal assistant evaluates whether the presentation of responsive content should be modified to better comport with the user's sensibilities and to be more appropriate for the context of use. Additionally, in response to determining a user's need for content, the digital personal assistant can use the inference and deduction to supply suggested content to the user.