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US 12,183,184 B2Granted
Adaptive notification system based on contextual information
Assignee3M Innovative Properties Company
InventorsJohn M. Kruse, Lori A. Sjolund, Vera Shuman
Life of this patent
Estimating the term…
Abstract
Adaptive systems and methods for managing and delivering notifications to workers in a work environment are provided. The adaptive notification system receives and assesses contextual information to adjust notification configurations or to propose options or alternatives of adjustments to guide a user to adjust the notification configurations.
Claims19
A method of managing and delivering notifications to a user, the method comprising:
- providing a current notification configuration to a notification system;
- receiving, via the notification system, contextual information including a combination of first real-time information collected from one or more environmental sensors and second real-time information collected from one or more user sensors, wherein the first real-time information includes one or more of air temperature, humidity, air velocity, or heat radiation in a work environment at which the user is located, and wherein the second real-time information includes one or more biological measurements associated with the user;
- implementing, by the notification system, a machine learning (ML) model trained according to a reinforcement learning algorithm to assess the contextual information to determine one or more adjustments to the current notification configuration;
- and
- adjusting, using the notification system, the current notification configuration in response to determining that the contextual information is of a sufficient quantity based on a predetermined level of certainty and based on the one or more determined adjustments to form an adjusted notification configuration.
2 more elements
A safety notification system comprising:
- a data interface component to receive first contextual information from one or more environmental sensors and user sensors and second contextual information from one or more wearable notification and response devices, wherein the first real-time information includes one or more of air temperature, humidity, air velocity, or heat radiation in a work environment at which the user is located, and wherein the second real-time information includes one or more biological measurements associated with the user;
- an assessing component to implement a machine learning (ML) model trained according to a reinforcement learning algorithm to assess the first and second contextual information to determine whether to adjust current safety notification configurations;
- an adjusting component to adjust at least some of the current safety notification configurations in response to a determination that the contextual information is of a sufficient quantity based on a predetermined level of certainty and based on the contextual information to generate one or more adjustment recommendations;
- a user interface (UI) configured to:
- present the one or more adjustment recommendations to a user;
- receive instructions from the user;
- and
- send the instructions to the assessing component and the adjusting component to generate a notification;
- and
- a delivery component to deliver the notification to the wearable notification and response devices.
7 more elements
Dependencies are inferred from the claim text.