Assistance management system

Patent metadata

Field	Value
Publication number	US-12046077-B2
Application number	US-201916564048-A
Country	US
Kind code	B2
Filing date	Sep 9, 2019
Priority date	Sep 9, 2019
Publication date	Jul 23, 2024
Grant date	Jul 23, 2024

Abstract

A method can include determining an assistance-initiating characteristic corresponding to a user. Determining the assistance-initiating characteristic can be based, at least in part, on a user action by the user. The method can further include generating an adaptation corresponding to the assistance-initiating characteristic. Generating the adaptation can include automatically adjusting an adaptable device.

First claim

What is claimed is:

1. A method comprising:
determining an assistance-initiating characteristic corresponding to a user, wherein the assistance-initiating characteristic indicates a difficulty of using an adaptable device and wherein determining the assistance-initiating characteristic comprises determining that a distance between the user's face and a display of the adaptable device is less than a threshold distance; and
generating, in response to determining the assistance-initiating characteristic, an adaptation comprising transmitting a message to a user device.

2. The method of claim 1 , wherein the method further comprises:
obtaining one or more images of the user performing a user action; and
wherein determining the assistance-initiating characteristic is based, at least in part, on the one or more images.

3. The method of claim 2 , wherein the method further comprises:
analyzing the one or more images to identify data features included in the one or more images; and
determining the assistance-initiating characteristic among the data features.

4. The method of claim 1 , wherein generating the adaptation further comprises automatically changing a size of text displayed on the adaptable device.

5. The method of claim 1 , wherein the determining the assistance-initiating characteristic is performed by a machine learning model, and wherein the method further comprises:
obtaining user feedback regarding the adaptation; and
training the machine learning model with the user feedback.

6. The method of claim 1 , wherein determining the assistance-initiating characteristic comprises determining that a time that a user's eyes are squinted exceeds a threshold time.

7. An assistance management system comprising:
a processor; and
a memory in communication with the processor, the memory containing program instructions that, when executed by the processor, are configured to cause the processor to perform a method, the method comprising:
determining an assistance-initiating characteristic corresponding to a user, wherein determining the assistance-initiating characteristic comprises determining that a distance between the user's face and a display of the adaptable device is less than a threshold distance, and wherein the assistance-initiating characteristic indicates a difficulty of using the adaptable device; and
generating, in response to determining the assistance-initiating characteristic, an adaptation comprising notifying support staff for the adaptable device.

8. The system of claim 7 , wherein the method further comprises:
obtaining one or more images of the user performing a user action; and
wherein determining the assistance-initiating characteristic is based, at least in part, on the one or more images.

9. The system of claim 8 , wherein the method further comprises:
analyzing the one or more images to identify data features included in the one or more images; and
determining the assistance-initiating characteristic among the data features.

10. The system of claim 7 , wherein determining the assistance-initiating characteristic comprises utilizing a machine learning model, and wherein the method further comprises:
obtaining user feedback regarding the adaptation; and
training the machine learning model with the user feedback.

11. The assistance management system of claim 7 , wherein determining the assistance-initiating characteristic comprises determining that a time that a user's eyes are squinted exceeds a threshold time.

12. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method, the method comprising:
determining an assistance-initiating characteristic corresponding to a user, wherein the assistance-initiating characteristic indicates that the user has a hearing impairment;
generating, in response to determining the assistance-initiating characteristic, an adaptation comprising automatically transmitting a transcript of an audible announcement to a user device of the user.

13. The computer program product of claim 12 , wherein determining the assistance-initiating characteristic comprises utilizing a machine learning model, and wherein the method further comprises:
obtaining user feedback regarding the adaptation; and
training the machine learning model with the user feedback.

Assignees

• IBM

Inventors

• Reynolds Spencer Thomas
• Tonev Raden
• Rodes Tessa
• Arita Janelle Michiko Janyen
• Sun Danchen

Classifications

• G06T7/97

  Determining parameters from multiple pictures (depth or shape recovery from multiple images G06T7/55; stereo camera calibration G06T7/85) · CPC title

• G06T2207/30196

  Human being; Person · CPC title

• G09G5/373

  for modifying the size of the graphic pattern · CPC title

• G06F3/167 Primary

  Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

• G09G2354/00

  Aspects of interface with display user · CPC title