Emotion-Aware Incident Response System Using Mobile Sensory Data
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Solution Overview
Problem
Existing emergency response systems lack the capability to systematically collect and process emotional data from incident reporters, leading to incomplete and inaccurate incident reports due to the emotional state of the reporter, which affects the granularity of truth and effectiveness of response plans.
Innovation Solution
A method and system that dynamically measure the emotional state of a person reporting an incident using sensory data from a mobile device, processing this data to determine appropriate situation awareness advisory services and generate personalized responses, including risk avoidance and first aid guidance, by aggregating data from various sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emotional data collection and processing is added to incident reporting systems, then the accuracy and personalization of response plans improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments emotional data collection into multiple independent sensory channels (accelerometer, microphone, camera, gyroscope) that can be processed separately. Each sensor captures specific aspects of the user's emotional state, and the results are aggregated to form a comprehensive emotional profile, reducing the complexity of processing any single data stream while improving overall measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary emotional data processing layer between the raw sensor data and the incident reporting system. This intermediary layer aggregates and interprets sensory data to determine emotional status, which then informs the incident response. This mediator structure allows the system to handle complex emotional analysis without directly complicating the core incident reporting functionality.
2Reliability
If multiple sensory data sources are aggregated to determine emotional state, then the reliability of emotional status determination improves, but the quantity of data to be processed increases
Solution Approach 1:
The system merges data from multiple sensory sources (accelerometer, microphone, camera, gyroscope) into a unified emotional status determination. By combining these diverse data streams, the system achieves more reliable emotional assessment than any single sensor could provide alone, while the integration process manages the quantity of data through coordinated processing of complementary information sources.
Solution Approach 2:
The system implements selective data collection by activating specific sensors based on the incident context and user needs. Not all sensors operate at full capacity simultaneously; instead, the system gathers sufficient emotional data from the most relevant sources for each situation, achieving reliable emotional status determination without processing excessive unnecessary data.
3Productivity
If the system processes emotional data in real-time to generate personalized response plans, then the effectiveness of emergency response improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of sensory data to establish baseline emotional states and incident patterns before full incident response is needed. By pre-processing and categorizing emotional data during normal operation, the system reduces the computational burden during actual emergencies, enabling faster real-time response while maintaining high effectiveness through pre-established processing frameworks.
Data Source
AI summary
The disclosure provides systems and methods for generating and delivering situational-dependent incident responses. An incident response is generated based on incident characterizations as well as emotional data pertaining to a reporting person. The generated response may also involve an interactive component in order to obtain further situational details from the reporting person and other sources, thereby further refine the response and recommendations. Persons reporting incidents are aided by appropriate recommendations and assistance from appropriate service providers.