Voice Poll Creation via Natural Language Understanding
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Solution Overview
Problem
Current speech recognition systems lack the ability to seamlessly integrate voice-controlled poll creation and response processing, limiting interactive experiences for users during audio content consumption.
Innovation Solution
A system that utilizes natural language understanding and automatic speech recognition to enable users to create polls via voice commands, process responses, and provide results, allowing for interactive experiences during audio content playback, including live podcasts and game shows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If speech recognition systems are used for basic voice commands, then voice control capability is achieved, but the ability to create and process polls interactively is lacking
Solution Approach 1:
The speech recognition system is enhanced to perform multiple functions beyond basic voice commands, specifically including poll creation, poll response collection, and result processing. The system can interpret various natural language inputs for different poll-related tasks, making it a universal interface for interactive polling during audio content consumption.
Solution Approach 2:
A natural language understanding intermediary layer is introduced between the speech recognition component and the poll processing logic. This intermediary translates spoken commands into structured poll creation instructions and processes poll responses, enabling seamless integration without significantly increasing perceived system complexity.
2Ease of operation
If natural language understanding processing is added to enable poll creation, then interactive poll experiences are enabled, but processing time and system complexity increase
Solution Approach 1:
The system pre-processes and structures natural language inputs during the poll creation phase, organizing responses into standardized formats that can be quickly processed later. Poll templates and response schemas are prepared in advance, reducing real-time processing requirements when polls are actively being taken.
Solution Approach 2:
Complex manual poll creation processes are replaced with natural language speech interfaces. Instead of requiring users to manually configure poll settings, the system uses speech recognition and natural language understanding to automatically extract poll parameters from spoken commands, significantly reducing the time and effort required to create polls.
3Productivity
If real-time poll processing is implemented during audio playback, then user engagement is enhanced, but system resource consumption increases
Solution Approach 1:
Instead of continuously processing poll responses in real-time, the system uses periodic batch processing where poll responses are collected and processed at intervals during audio playback. This approach maintains user engagement by allowing poll participation without requiring constant system resource allocation for processing.
Solution Approach 2:
The system automatically manages poll response processing without requiring additional user intervention or excessive system resources. Poll responses are automatically captured, processed, and integrated with the audio content playback, enabling enhanced user engagement while minimizing the need for additional computational resources.
Data Source
AI summary
Exemplary embodiments relate to using a voice user interface for creating a poll to send to users. A poll requestor can create a poll using voice instructions and specify response options and setup information. After creating the poll, the system broadcasts it to users who can respond to the poll. The poll may be broadcasted while a user is receiving content. The users can respond using a voice user interface. The system compiles the responses and provides them to the poll requestor.