Generating tailored error messages

• US 10,289,465 B2
• Filed: 08/23/2016
• Issued: 05/14/2019
• Est. Priority Date: 08/23/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Packham, Seth M., Quirk, Aaron J., Reamsnyder, Lee J., Wang, Yun
• Primary Examiner(s): Bonzo, Bryce P
• Assistant Examiner(s): Arcos, Jeison C
• Application Number:
  US15/244,396
• Publication Number:
  US 20180060157A1
• Time in Patent Office: 994 Days
• CPC Class Codes: G06F 11/076 by exceeding a count or rate limit, e.g. word- or bit count limit
• CPC Class Codes: G06F 11/0769 Readable error formats, e.g. cross-platform generic formats, human understandable formats
• CPC Class Codes: G06F 11/0775 Content or structure details of the error report, e.g. specific table structure, specific error fields
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A computer system may encounter an error and receive information regarding the error and the user. The system may use information about the user to generate a message generation profile for the user. The system may use the message generation profile and the information about the error to generate a user-tailored message. The system may monitor the reaction of the user to an error message, and consider the information associated with the reaction when generating user-tailored error messages, subsequently.

Claims

1. A computer-implemented method for generating error messages, the method comprising:

receiving information about a user;

analyzing the information to form a message generation profile tailored to the user;

wherein the message generation profile includes a set of personality aspects associated with the user;

responsive to detecting an error in an application, determining a default message and a classification of the error;

comparing the message generation profile to the default message and the classification of the error to form a modification assessment;

responsive to determining the modification assessment meets a predetermined threshold, adjusting the default message to a user-tailored message and notifying the user of the error using the user-tailored message;

monitoring for a feedback associated with the user-tailored message, wherein the feedback is used to adjust at least one personality aspect of the set of personality aspects associated with the user; and

recording the feedback in the message generation profile tailored to the user to adjust the user'"'"'s subsequent modification assessments.

2. The method of claim 1, wherein monitoring for feedback on the user-tailored message comprises:

monitoring one or more facial expressions of the user to record a reaction to the tailored message;

determining a connotation of the reaction; and

determining a degree of intensity of the reaction.

3. The method of claim 1, wherein receiving information about the user comprises:

receiving information derived from social channels associated with the user.

4. The method of claim 1, wherein analyzing the information to form the message generation profile tailored to the user comprises:

identifying content generated by the user; and

analyzing the user'"'"'s generated content to identify personality aspects of the user.

5. The method of claim 1, wherein analyzing the information to form the message generation profile tailored to the user comprises:

determining the user'"'"'s skillset and skill level.

6. The method of claim 1, wherein monitoring for feedback on the user-tailored message comprises:

determining a user reaction to the tailored message on social channels.

7. The method of claim 6, further comprising:

in response to determining the user reaction to the tailored message on social channels, determining a connotation of the reaction; and

determining a degree of intensity of the reaction.

8. The method of claim 1, wherein adjusting at least one personality aspect of the set of personality aspects associated with the user further comprises:

in response to receiving the feedback, modifying a value representing the personality aspect, in accordance with the feedback.

9. The method of claim 8, wherein the feedback includes the user'"'"'s facial image recognition data recorded during a reaction period.

10. A system for generating error messages, the system comprising:

a memory with program instructions stored thereon; and

a processor in communication with the memory, wherein the system is configured to perform a method, the method comprising;

receiving information about a user;

analyzing the information to form a message generation profile tailored to the user;

wherein the message generation profile includes a set of personality aspects associated with the user;

responsive to detecting an error in an application, determining a default message and a classification of the error;

comparing the message generation profile to the default message and the classification of the error to form a modification assessment;

responsive to determining the modification assessment meets a predetermined threshold, adjusting the default message to a user-tailored message and notifying the user of the error using the user-tailored message;

monitoring for a feedback associated with the user-tailored message, wherein the feedback is used to adjust at least one personality aspect of the set of personality aspects associated with the user; and

recording the feedback in the message generation profile tailored to the user to adjust the user'"'"'s subsequent modification assessments.

11. The system of claim 10, wherein monitoring for feedback on the user-tailored message comprises:

monitoring one or more facial expressions of the user to record a reaction to the tailored message;

determining a connotation of the reaction; and

determining a degree of intensity of the reaction.

12. The system of claim 10, wherein receiving information about the user comprises:

receiving information derived from social channels associated with the user.

13. The system of claim 10, wherein analyzing the information to form the message generation profile tailored to the user comprises:

identifying content generated by the user; and

analyzing the user'"'"'s generated content to identify personality aspects of the user.

14. The system of claim 10, wherein analyzing the information to form the message generation profile tailored to the user comprises:

determining the user'"'"'s skillset and skill level.

15. The system of claim 10, wherein monitoring for feedback on the user-tailored message comprises:

determining the user reacted to the tailored message on social channels.

16. The system of claim 15, further comprising:

in response to determining the user reacted to the tailored message on social channels, determining a connotation of the reaction; and

determining a degree of intensity of the reaction.

17. The system of claim 10, wherein adjusting at least one personality aspect of the set of personality aspects associated with the user further comprises:

in response to receiving the feedback, modifying a value representing the personality aspect, in accordance with the feedback.

18. The system of claim 17, wherein the feedback includes the user'"'"'s facial image recognition data recorded during a reaction period.

19. A computer program product for generating error messages, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:

receive information about a user;

analyze the information to form a message generation profile tailored to the user, wherein the message generation profile includes a set of personality aspects associated with the user;

responsive to detecting an error in an application, determine a default message and a classification of the error;

compare the message generation profile to the default message and the classification of the error to form a modification assessment;

responsive to determining the modification assessment meets a predetermined threshold, adjust the default message to a user-tailored message and notify the user of the error using the user-tailored message;

monitor for a feedback associated with the user-tailored message, wherein the feedback is used to adjust at least one personality aspect of the set of personality aspects associated with the user; and

record the feedback in the message generation profile tailored to the user to adjust the user'"'"'s subsequent modification assessments.

20. The computer program product of claim 19, wherein monitoring for feedback on the user-tailored message comprises:

monitoring one or more facial expressions of the user to record a reaction to the tailored message;

determining a connotation of the reaction; and

determining a degree of intensity of the reaction.