AI Light Emission Cues for Low-Noise User Notifications
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Solution Overview
Problem
Existing communication technologies, such as smartphones, generate excessive informational noise through notifications, messages, and alerts, leading to sensory saturation and negative impacts on health and productivity, while existing solutions either prevent all notifications or fail to adapt to user needs.
Innovation Solution
A method using artificial intelligence to tailor light emissions based on user feedback, where a first device sends requests to a second device, which generates light emissions with patterns and hues determined by an AI model trained on user responses, reducing the need for traditional alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional notification methods (messages, alerts, calls) are used to communicate with users, then information delivery is achieved, but sensory saturation and informational noise increase, negatively impacting user health and productivity
Solution Approach 1:
The patent applies color changes by using light emissions with different hues, brightness levels, and patterns to convey various types of information. Instead of relying on traditional auditory and visual notifications that cause sensory saturation, the system transforms information into distinct light patterns (e.g., different colors for different message types, intensity variations for priority levels), enabling users to process information efficiently without overwhelming their senses.
2Object-affected harmful factors
If all notifications are blocked or limited to reduce sensory saturation, then user health and concentration are protected, but relevant information may be missed
Solution Approach 1:
The patent applies local quality by making different types of notifications have distinct local characteristics through light patterns. Each notification type (message, call, alert) is assigned specific hue, brightness, and temporal patterns, allowing users to quickly identify and prioritize relevant information without being overwhelmed by uniform notifications. This enables selective attention to important information while filtering out less critical ones.
Solution Approach 2:
The patent applies dynamics by using evolving light patterns that change over time to convey different information states. The light emissions are not static but dynamically adjust their characteristics (brightness, duration, repetition) based on the urgency and type of information, enabling users to grasp the nature of each notification quickly and respond appropriately without missing relevant information.
3Object-affected harmful factors
If light emissions are used to convey information, then informational noise is reduced and user concentration is maintained, but the system must adapt to individual user preferences and contexts
Solution Approach 1:
The patent applies feedback by training an artificial intelligence model on user responses to light emissions. The system collects data on how users interact with different light patterns (which patterns lead to desired actions, which are ignored or adjusted) and uses this feedback to continuously optimize and personalize the light emission characteristics. This ensures the system adapts to individual user preferences and behavioral patterns while maintaining low informational noise.
4Adaptability or versatility
If artificial intelligence is used to personalize light emissions, then user-specific adaptation is achieved, but device complexity increases
Solution Approach 1:
The patent applies intermediary by introducing an artificial intelligence model as a mediator between the notification system and the user. The AI model handles the complex task of analyzing user responses, learning preferences, and generating personalized light emission patterns, thereby shielding the user from the underlying system complexity. The AI acts as an intelligent intermediary that automatically adapts the notification system to individual users without requiring direct user configuration or complex manual settings.
Data Source
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Figure 3~5
Figure 6~7
AI summary
The invention relates to a method for communicating, by light emission, with a user (3), which method comprises the following steps: - sending, from a first device (5) to a second device (7), using wireless communication, a request intended for the user (3), - preparing light emission content formed depending on the request, the content of the light emission comprising a pattern and at least one hue of the light emission, the pattern being composed of one or more brightnesses and/or saturations of the light emission which change over time, the pattern and the one or more hues being determined by an artificial intelligence model trained from past commands from the user in response to corresponding past emissions and to the corresponding past requests, - generating the light emission intended for the user (3), using the second device (7), - receiving, using the second device (7), a command from the user (3) in response to the light emission.