User Response Interface Using Audio and Context Recognition
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Solution Overview
Problem
Existing techniques for responding to user requests on electronic devices are cumbersome and inefficient, often requiring multiple key presses or keystrokes, wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Implementing methods and interfaces that utilize audio and environmental inputs to identify users and respond accordingly, reducing the need for redundant inputs by using criteria-based responses and adaptive user interface elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques use a complex user interface with multiple key presses or keystrokes to respond to user requests, then the device can handle various user requests, but the user time and device energy are wasted
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and analyzing audio inputs and environmental media in real-time, preparing to identify users and execute appropriate responses before explicit user commands are given. This eliminates the need for users to navigate complex interfaces, as the system anticipates and responds to requests proactively through voice and environmental context.
2Ease of operation
If existing techniques use a complex user interface with multiple key presses or keystrokes to respond to user requests, then the device can handle various user requests, but device energy is wasted
Solution Approach 1:
The patent replaces mechanical input systems (physical key presses, touchscreen interactions) with acoustic and environmental sensing systems. The device uses audio inputs, media capture, and environmental analysis to detect user intent and identify subjects, substituting complex mechanical interaction sequences with automated sensory-based recognition and response mechanisms that consume less energy.
3Measurement precision
If the system captures media of the environment to identify the subject after audio input fails, then subject identification accuracy improves, but device energy consumption increases
Solution Approach 1:
The system implements a staged approach where it first performs partial action (audio-only analysis) to identify subjects, consuming minimal energy. Only when audio input fails to identify the subject does the system escalate to excessive action (capturing and analyzing environmental media), accepting the additional energy cost only when necessary to achieve accurate identification.
Data Source
AI summary
The present disclosure generally relates to responding to users. Some techniques are for performing an operation that is specific to a user in accordance with some embodiments. Other techniques are for performing an ambiguous request related to displayed content in accordance with some embodiments.