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Cognitive Coordination of Technology

IP.com Disclosure Number: IPCOM000250029D
Publication Date: 2017-May-18
Document File: 3 page(s) / 169K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system for cognitive coordination of technology that makes smart devices and appliances adaptive to an individual’s needs. The core novelty is the ability to predict, in the context of the user's expected utilization, the devices and appliances that the user needs, and then automatically activate/deactivate those systems.

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Cognitive Coordination of Technology

An increasing number of devices and appliances have built in sensors and processors to allow remote monitoring and control (e.g., smart cars, security systems, refrigerators, etc.), often through connection with smart phones or other mobile devices. The devices and sensors also often send data to a central repository for deep analysis for predicting maintenance needs, notifying users of required attention, providing manufacturers with data, or giving other pertinent information.

However, even though appliances and devices (and the embedded applications) often have implicit dependencies for use, the means in the prior art for these technologies to self-automate coordination in anticipation of a user's needs is currently limited. These devices and appliances and the associated applications do not coordinate (i.e., are not aware of the context of use and relationship to each other) to predict the user’s needs (or absence of a need) or accordingly prepare to improve utilization and benefits. For example, if a user sets the coffee maker timer to turn on after the morning alarm goes off, then the user must manually configure each appliance; the coffee maker does not “know” to begin 10 minutes after the alarm clock sounds. The user must manually coordinate and remember to start most of the appliances and devices on demand, and configure them as needed, even though there are regular use patterns. Also, the user must often ensure the appliances are prepared for expected use. Simple examples include remote starting the car before leaving a restaurant, planning time to get gas on the way back home, ensuring sufficient funds in a bank account, and multiple other tasks a user performs throughout the day.

The novel solution introduces a system for cognitive coordination of technology. This is a truly intelligent system to make smart technology cognitive and adaptive to an individual’s needs. The core novelty is the ability to predict, in the context of the user's expected utilization, the devices and appliances that the user needs.

The user must first input the specific associated devices. All specifications for devices are available online and easy to find, so the system works from available information after the user inputs the devices.

The solution includes a learning system that predicts with a level of confidence the devices and appliances needed based on intelligent data analysis of usage patterns and context. The system connects existing technology (i.e., the devices and appliances in use) in such a way that little manual user intervention is necessary. The novel technology learns the user’s habits and takes cues from the technology already in use. In addition, when known habits change, the technology accordingly responds; it is truly intelligent and requires little to no manual intervention on the part of the user.

The proposed system comprises methods for:  Linking technology  Technology learning  Decreased...