17457270. COGNITIVE NOTIFICATIONS CHOREOGRAPHER simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
COGNITIVE NOTIFICATIONS CHOREOGRAPHER
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Hernan A. Cunico of Holly Springs NC (US)
Craig M. Trim of Ventura CA (US)
John M. Ganci, Jr. of Raleigh NC (US)
Martin G. Keen of Cary NC (US)
COGNITIVE NOTIFICATIONS CHOREOGRAPHER - A simplified explanation of the abstract
This abstract first appeared for US patent application 17457270 titled 'COGNITIVE NOTIFICATIONS CHOREOGRAPHER
Simplified Explanation
The present invention is a computer system that uses a trained neural network to determine the activity of a user based on data received from a sensor. It then calculates a stress coefficient based on the activity and data, and generates a cognitive notifications choreographer model. This model is used to reply to communications based on the stress coefficient being above a certain threshold value.
- Computer system receives communications and data from a sensor
- Trained neural network determines user activity based on the data
- Stress coefficient is calculated based on the activity and data
- Cognitive notifications choreographer model is generated from the stress coefficient and communications
- Communication software replies to communications based on the cognitive notifications choreographer model when the stress coefficient is above a threshold value
Potential applications of this technology:
- Personalized communication management based on user's stress level
- Improving productivity by automating communication responses
- Enhancing mental well-being by reducing stress from overwhelming communication
Problems solved by this technology:
- Difficulty in managing and responding to a large volume of communications
- Inability to prioritize and filter communications based on user's stress level
- Lack of personalized and adaptive communication management systems
Benefits of this technology:
- Efficient management of communications based on user's stress level
- Reduction in stress and overwhelm caused by excessive communication
- Improved productivity and mental well-being through automated communication responses
Original Abstract Submitted
The present invention may include a computer receives one or more communications and data from a sensor. The computer determines an activity of a user based on the received data, wherein the activity is determined by a trained neural network. The computer calculates a stress coefficient based on the activity and the data. The computer generates a cognitive notifications choreographer model from the stress coefficient and one or more communications and causes a communication software to reply to the one or more communications based on the cognitive notifications choreographer model determining the stress coefficient above a threshold value.
