Human Memory Enhancement Using Machine Learning
First Claim
1. A method for providing a prompt for real-time cognitive assistance, the method comprising:
- analyzing input from at least one environmental sensor to identify context information pertaining to a user situation;
identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model;
determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least one previous user situation;
computing a confidence value to represent a level of certainty in the action; and
providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action;
wherein at least one of the steps is carried out by a computer device.
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Abstract
Techniques for providing a prompt for real-time cognitive assistance. A method includes analyzing input from at least one environmental sensor to identify context information pertaining to a user situation, identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model, determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least one previous user situation, computing a confidence value to represent a level of certainty in the action, and providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action.
19 Citations
20 Claims
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1. A method for providing a prompt for real-time cognitive assistance, the method comprising:
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analyzing input from at least one environmental sensor to identify context information pertaining to a user situation; identifying a likely subsequent cognitive task of the user in the user situation based on the context information and use of a learned model; determining an action with respect to information to be suggested to the user via a corresponding prompt, wherein the determining is based on the likely subsequent cognitive task, the context information and information learned from at least one previous user situation; computing a confidence value to represent a level of certainty in the action; and providing the prompt to the user if the action has a confidence value greater than a threshold value corresponding to the action; wherein at least one of the steps is carried out by a computer device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification