Voice Assistant Contextual Tagging for Mobile Data Entry
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Solution Overview
Problem
Current mobile devices face challenges in efficient and intuitive data input due to small virtual keyboards, leading to error-prone typing and the need for both hands, while voice input systems often provide inaccurate results.
Innovation Solution
The Smart Tag System (STS) generates contextually relevant tags based on user interactions, location, and content, allowing for dynamic filtering and tagging of data, enabling efficient and accurate voice-assisted data entry and retrieval on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a small virtual keyboard is used on mobile phones, then portability is maintained, but data input becomes error-prone and requires both hands
Solution Approach 1:
The patent replaces the mechanical keyboard system with a voice recognition system. The voice assistant captures spoken input through a microphone, processes it using natural language understanding algorithms, and converts it into actionable commands or text, thereby eliminating the need for physical or virtual keyboard interaction.
Solution Approach 2:
The voice assistant acts as an intermediary between the user and the mobile device. It translates spoken language into structured data, commands, or text input, serving as a mediator that bridges the gap between human communication and machine processing without requiring direct keyboard interaction.
2Ease of operation
If voice input systems are used, then hands-free operation is enabled, but recognition accuracy deteriorates
Solution Approach 1:
The voice assistant performs preliminary actions by continuously listening and pre-processing spoken input even before a formal command is given. It anticipates user intent, pre-loads relevant data, and prepares response options, thereby improving recognition accuracy by contextually framing the voice input before full processing occurs.
Solution Approach 2:
The system implements feedback mechanisms where the voice assistant provides real-time confirmation, clarification questions, or suggested interpretations of ambiguous voice commands. This allows users to correct misrecognitions immediately, and the system learns from these corrections to improve future recognition accuracy through adaptive processing.
3Productivity
If traditional typing methods are used, then data entry can be performed, but it requires both hands and is time-consuming
Solution Approach 1:
The patent substitutes the mechanical typing process with a speech-to-text conversion system. The voice assistant captures spoken words, processes them through natural language understanding, and directly inputs the resulting text or commands into the device, eliminating the need for manual typing entirely.
Solution Approach 2:
The voice assistant serves multiple functions simultaneously: it acts as a transcription tool for text input, a command interface for app control, and a information retrieval system. This multi-functionality allows users to perform various data entry tasks through speech alone, greatly improving productivity while maintaining ease of operation with single-hand or hands-free usage.
Data Source
AI summary
A mobile device includes a plurality of physical buttons for providing programmable control inputs to the mobile device. A processor within the mobile device is programmed with instructions to cause the mobile device to respond to a first input via a first of the plurality of physical buttons by activating voice recognition by the mobile device and providing an indication on a status bar on a screen of the mobile device. The mobile device accepts voice inputs and processes the voice inputs locally and via interactions with a remote server to provide contextualized information within an application executing on the mobile device.