Voice-Based Statistical Data Collection via Acoustic Sensors
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Solution Overview
Problem
Current methods for collecting statistical data from customers are cumbersome, often requiring manual input, which can deter participation, and fail to effectively capture user preferences and characteristics in a non-intrusive manner.
Innovation Solution
A voice-based system that uses acoustic sensors and processors to convert user responses into audio data, which is then analyzed to determine text answers and associated features like age, gender, and location, and sent to a remote computing system for integration into statistical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are required to type in or select answers using a user device or remote control, then data collection accuracy is improved, but ease of operation deteriorates and user participation decreases
Solution Approach 1:
The patent replaces the mechanical interaction of typing and selecting answers with acoustic field interaction through voice commands. The voice-activated survey system captures user responses via acoustic sensors, converting speech into data without requiring physical device manipulation, thus improving ease of operation while maintaining data accuracy through voice recognition technology.
Solution Approach 2:
The patent introduces voice recognition technology as an intermediary between the user and the survey system. Instead of direct manual input, the user's voice serves as the medium to convey responses, which are then processed by acoustic sensors and speech-to-text conversion mechanisms, bridging the gap between natural human communication and digital data collection.
2Loss of information
If users are required to manually input personal data, then data completeness is improved, but device complexity and time consumption increase
Solution Approach 1:
The patent enables automatic collection of personal data features through voice analysis and background noise detection without requiring user input. The system autonomously determines characteristics such as age, gender, location, and activity level by processing acoustic signals, allowing data collection to serve itself without manual intervention, thus reducing time consumption while maintaining data completeness.
Solution Approach 2:
The patent performs preliminary analysis of acoustic signals to pre-determine user features before the survey formally begins. By detecting background noise patterns, voice characteristics, and environmental cues in advance, the system prepares personal data profiles that are automatically integrated into the survey responses, eliminating the need for separate data entry steps.
3Reliability
If traditional survey methods are used, then data collection reliability is maintained, but user engagement and participation rates deteriorate
Solution Approach 1:
The patent transforms the static, formal survey process into a dynamic, natural interaction through voice-based responses during media consumption. Users can answer survey questions organically while watching videos or listening to audio, making the data collection process adaptable to their existing activities, thereby enhancing engagement while maintaining reliability through consistent voice recognition accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates convenient and non-intrusive collection of statistical data by allowing users to respond to questions while watching videos or listening to audio, enhancing data accuracy and user engagement in surveys and opinion collection.
Implementation Method 1
an acoustic sensor configured to sense an ambient acoustic signal
Implementation Method 2
an acoustic sensor configured to sense an ambient acoustic signal
Data Source
AI summary
Systems and methods for voice-based collection of statistical data are provided. An example method includes sensing, by an acoustic sensor, an ambient acoustic signal; determining, by one or more processors communicatively coupled to a user device and the acoustic sensor, that the user device has played a question prompting a user to answer the question; analyzing, by the one or more processors, the ambient acoustic signal to determine that the user has uttered an answer; converting, by the one or more processors, the ambient acoustic signal including the uttered answer into audio data; sending, via the user device, the audio data to a remote computing system; converting the audio data into text and at least one feature associated with the user; generating a record including the text and the at least one feature; and adding, by the remote computing system, the record to the statistical data.