US 2020/0051447 A1Published application

Cognitive tool for teaching generlization of objects to a person

AssigneeInternational Business Machines Corporation

InventorsKrishna R. Tunga, Lawrence A. Clevenger, Stefania Axo, Mark C. Wallen, Yang Liu, Shidong Li, Bryan Gury

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Abstract

Provided are systems, methods, and media for teaching generalization of an object. An example method includes obtaining a set of traits of an object recognized by a person in an input image, in which a subset of traits are traits fixated on by the person when recognizing the object in the input image. Executing a machine learning algorithm to generate a set of generalized images of the object. Each generalized image is generated with at least one trait of being modified, in which the set of generalized images are ordered in a sequence based on proximity of each of the generalized images to the input image. Presenting at least a first generalized image to the person in accordance with the sequence. Modifying the order of the generalized images in the sequence in response to detecting from feedback that the person does not recognize the object in the first generalized image.

Claims20

Dependent claims

A computer-implemented method for teaching generalization of an object to a person, the method comprising:

obtaining, by a system comprising one or more processors, characteristic information pertaining to the object recognized by the person in an input image, wherein the characteristic information includes a set of traits of the object pertaining to physical features of the object in the input image, wherein a subset of traits of the set of traits comprises traits fixated on by the person when recognizing the object in the input image;
executing, by the system, a machine learning algorithm to generate a set of generalized images of the object based on the subset of traits fixated on by the person, wherein each generalized image of the set of generalized images comprises an image of the object with at least one trait of the subset of traits being modified, wherein the generalized images in the set of generalized images are ordered in a sequence based on proximity of each of the generalized images to the input image;
presenting, by the system, to the person, at least a first generalized image of the set of generalized images in accordance with the sequence;
receiving, by the system, feedback of the person regarding whether the person recognizes the object in the first generalized image;
and
in response to detecting from the feedback that the person does not recognize the object in the first generalized image, modifying, by the system, the order of the generalized images in the sequence.

3 more elements

A computer program product for teaching generalization of an object to a person, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a system comprising one or more processors to cause the system to perform a method, the method comprising:

obtaining, by the system, characteristic information pertaining to the object recognized by the person in an input image, wherein the characteristic information includes a set of traits of the object pertaining to physical features of the object in the input image, wherein a subset of traits of the set of traits comprises traits fixated on by the person when recognizing the object in the input image;
executing, by the system, a machine learning algorithm to generate a set of generalized images of the object based on the subset of traits fixated on by the person, wherein each generalized image of the set of generalized images comprises an image of the object with at least one trait of the subset of traits being modified, wherein the generalized images in the set of generalized images are ordered in a sequence based on proximity of each of the generalized images to the input image;
presenting, by the system, to the person, at least a first generalized image of the set of generalized images in accordance with the sequence;
receiving, by the system, feedback obtained from the person regarding whether the person recognizes the object in the first generalized image;
and
in response to detecting from the feedback that the person does not recognize the object in the first generalized image, modifying, by the system, the order of the generalized images in the sequence.

3 more elements

A system for teaching generalization of an object to a person, the system comprising one or more processors configured to perform a method, the method comprising:

obtaining, by the system, characteristic information pertaining to the object recognized by the person in an input image, wherein the characteristic information includes a set of traits of the object pertaining to physical features of the object in the input image, wherein a subset of traits of the set of traits comprises traits fixated on by the person when recognizing the object in the input image;
executing, by the system, a machine learning algorithm to generate a set of generalized images of the object based on the subset of traits fixated on by the person, wherein each generalized image of the set of generalized images comprises an image of the object with at least one trait of the subset of traits being modified, wherein the generalized images in the set of generalized images are ordered in a sequence based on proximity of each of the generalized images to the input image;
presenting, by the system, to the person, at least a first generalized image of the set of generalized images in accordance with the sequence;
receiving, by the system, feedback of the person regarding whether the person recognizes the object in the first generalized image;
and
in response to detecting from the feedback that the person does not recognize the object in the first generalized image, modifying, by the system, the order of the generalized images in the sequence.

3 more elements

Dependencies are inferred from the claim text.