Biosignal User State Ranking for Non-Textual Mood Notifications
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Solution Overview
Problem
Existing communication methods, such as text messages, often fail to convey the depth of emotion and intimacy desired in user interactions, leading to overwhelmed recipients and suboptimal relationship maintenance when users are physically apart.
Innovation Solution
A user state system that utilizes biosignal and circumstantial data to determine a user's emotional and physical state, generating notifications with haptic patterns and allowing for non-textual, mood-centric communication, including state representations and response options, to maintain relationship closeness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text messages are used for communication, then users can maintain contact when physically apart, but the messages become overly brief and inauthentic, failing to convey depth of emotion and intimacy
Solution Approach 1:
The patent replaces traditional text-based mechanical communication with a biosignal-driven automated notification system. Sensors detect physiological states (heart rate, skin conductance, temperature) and automatically generate notifications that convey emotional information without requiring manual text composition, thus preserving emotional depth while maintaining ease of use.
Solution Approach 2:
The system enables self-service communication by automatically generating notifications based on detected biosignals. The user's physiological state directly triggers and content's the notification, eliminating the need for manual message crafting while ensuring authentic emotional representation.
2Loss of information
If users craft thoughtful messages to convey emotion, then communication depth improves, but it requires excessive time and effort from users
Solution Approach 1:
The system performs preliminary action by continuously monitoring biosignals in the background and pre-processing emotional state data. When a significant emotional state is detected, the notification is automatically generated and sent without requiring the user to spend time composing a message at that moment.
Solution Approach 2:
Manual message composition is replaced with automated biosignal-based notification generation. The system translates physiological data into communicative notifications, eliminating the time investment required for thoughtful message crafting while preserving emotional authenticity.
3Reliability
If users send frequent text messages to maintain connection, then relationship closeness may improve, but recipients become overwhelmed and user experience deteriorates
Solution Approach 1:
The system applies partial action by sending notifications only for significant emotional states rather than continuously. It filters biosignal data to identify meaningful emotional transitions, sending selective notifications that maintain relationship connection without overwhelming the recipient with excessive messages.
Solution Approach 2:
The system implements periodic monitoring of biosignals with notification triggers based on significant state changes rather than continuous messaging. This periodic action pattern maintains relationship reliability by providing updates at meaningful intervals while avoiding recipient overload.
Data Source
AI summary
A method and a system include receiving a first signal value generated by a biosignal sensor coupled to the first client device, receiving one or more second signal values corresponding to a respective sensor reading or environmental condition associated with the first client device, determining a total score based on a first score and one or more second scores determined based on the first and the one or more second signal values, selecting a first state of the plurality of states based on a ranking of total scores of the plurality of states, and causing a display of a first notification associated with a first user-selectable element corresponding to the first state on the first client device.