Voice Call Digital Assistant Privacy Gating for Near-End Inputs
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Solution Overview
Problem
Existing digital assistants disrupt voice communication sessions and invade the privacy of far-end users by responding to unintended inputs during voice calls, leading to inefficiencies and potential security risks.
Innovation Solution
Implementing a digital assistant that responds only to near-end user inputs during voice communication sessions and operates with different privacy settings based on engagement status, minimizing responses to far-end users and respecting privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the digital assistant responds to all natural language inputs during voice communication sessions, then user interaction capability is improved, but privacy violation and communication disruption occur
Solution Approach 1:
The digital assistant applies different response behaviors based on the source of the natural language input. When input is detected from the near-end user (local), the assistant provides responses. When input is detected from the far-end user (remote), the assistant withholds responses. This local differentiation resolves the contradiction by enabling interaction capability for local users while preventing privacy violation and communication disruption for remote users.
2Productivity
If the digital assistant processes all inputs during voice sessions, then task completion efficiency is improved, but unintended disruptions to communication occur
Solution Approach 1:
The system differentiates input sources and applies selective processing: inputs from the near-end user trigger task execution for improved productivity, while inputs from the far-end user are ignored to maintain communication stability and prevent unintended disruptions.
3Ease of operation
If the digital assistant operates without privacy settings during voice sessions, then operational simplicity is improved, but user privacy and security are compromised
Solution Approach 1:
The digital assistant automatically detects the source of natural language inputs and applies appropriate privacy settings without requiring manual user configuration. The system self-determines whether to process inputs based on whether they originate from the near-end or far-end user, maintaining ease of operation while protecting user privacy and security through automatic differentiation.
Data Source
AI summary
An example process includes: while an electronic device is engaged in a voice communication session with at least one remote device: receiving a request to invoke a digital assistant operating on the electronic device; receiving a natural language input; in accordance with a determination that a set of one or more criteria is satisfied, where the set of one or more criteria includes a criterion that is satisfied when the natural language input is received from a near-end user of the voice communication session: providing a response to the near-end user, where the response is generated by the digital assistant based on the natural language input; and forgoing causing the response to be provided to the at least one remote device; and in accordance with a determination that the criterion is not satisfied: forgoing generating, by the digital assistant, the response.