Communication Device Audience Feedback System
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Solution Overview
Problem
Current communication systems lack the ability to effectively detect and respond to the psychological states of audience members in real-time during video calls, failing to adapt communication strategies based on changing emotional responses.
Innovation Solution
A communication device equipped with a reproduction section, detection section, estimation section, extraction section, and transmission section that detects feature information from audience biometrics and video data to estimate psychological states and transmit feedback to the utterer, allowing for dynamic adjustment of communication content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-time detection and analysis of audience psychological states is implemented, then communication effectiveness and engagement are enhanced, but device complexity and computational requirements increase
Solution Approach 1:
The system segments the complex task of psychological state detection into multiple independent modules: feature information detection (biometric sensors), psychological state estimation (analysis unit), factor extraction (content analysis), and feedback transmission. Each module handles a specific aspect of the overall process, reducing the complexity burden on any single component while enabling real-time operation.
Solution Approach 2:
The patent introduces an intermediary analysis unit that processes raw biometric data and converts it into meaningful psychological state information. This intermediary layer acts as a bridge between the detection sensors and the feedback mechanism, simplifying the data processing pipeline and reducing computational requirements at each stage.
2Measurement precision
If multiple biometric sensors and analysis functions are integrated, then measurement precision of psychological state is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple biometric sensors (heart rate monitor, skin conductance sensor, temperature sensor) into an integrated detection system that simultaneously collects various physiological parameters. By combining these sensors and their processing functions into a unified module, the system achieves high measurement precision without proportionally increasing overall device complexity.
Solution Approach 2:
The analysis unit is designed with multi-functionality, capable of processing data from different types of biometric sensors and performing both psychological state estimation and factor extraction operations. This universal processing capability reduces the need for separate dedicated components for each function, thereby improving measurement precision while controlling device complexity.
3Adaptability or versatility
If continuous monitoring and real-time feedback transmission are implemented, then adaptability of communication is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring and transmission, the system implements periodic sampling of biometric data and psychological state assessment. The feedback is transmitted at regular intervals or triggered by significant state changes, maintaining real-time adaptability while reducing energy consumption compared to continuous operation.
Solution Approach 2:
The monitoring frequency and feedback transmission rate are made dynamic, adjusting based on the detected psychological state and communication context. The system intensifies monitoring when significant emotional changes are detected and reduces intensity during stable states, optimizing energy usage while maintaining communication effectiveness.
Data Source
AI summary
A communication device includes a reproduction section that reproduces a voice and/or a video received from an utterer device, a detection section that detects feature information indicating a psychological state of an audience listening to the voice and/or watching the video of the utterer reproduced by the reproduction section, an estimation section that estimates the psychological state of the audience based on the feature information detected by the detection section, an extraction section that extracts a factor changing the psychological state, from contents of the voice or the video which are being reproduced at a time point at which the psychological state of the audience, which is estimated by the estimation section is changed, and a transmission section that transmits the psychological state of the audience, which is estimated by the estimation section, and the factor extracted by the extraction section in association with each other, to the utterer device.