US 12,008,317 B2
Summarizing information from different sources based on personal learning styles
Perla Guadalupe Reyes Ramirez, Jalisco (MX); Paul Llamas Virgen, Jalisco (MX); Silvia Cristina Santa Ana Velasco, Jalisco (MX); and Carolina Garcia Delgado, Jalisco (MX)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jan. 23, 2019, as Appl. No. 16/254,935.
Prior Publication US 2020/0233925 A1, Jul. 23, 2020
Int. Cl. G06F 40/216 (2020.01); A61B 5/16 (2006.01); G06F 40/289 (2020.01); G06V 10/776 (2022.01); G09B 19/00 (2006.01)
CPC G06F 40/216 (2020.01) [A61B 5/167 (2013.01); G06F 40/289 (2020.01); G06V 10/776 (2022.01); G09B 19/00 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for summarizing a piece of information based on a personal learning style of a user, the method comprising:
summarizing the piece of information associated with at least one information source by identifying features of the piece of information comprising at least one repetitive sentence, at least one repetitive term, at least one repetitive phrase, and at least one key word, wherein the identified features are sorted with a corresponding percentage of usage in the at least one information source, wherein an output is generated from the summarized piece of information;
generating a summary of the piece of information based on the generated output, the personal learning style of the user and a plurality of data associated with the user, wherein the personal learning style of the user is determined by a personality test, wherein the generated summary includes converting the identified features into one or more representations, and wherein the one or more representations are in a form that is consistent with the personal learning style of the user, and wherein the one or more representations are incorporated within the generated summary based on the corresponding percentage of usage of the identified features exceeding a threshold;
presenting the generated summary to the user; and
requesting at least one piece of summary feedback from the user in response to presenting the generated summary, wherein requesting the at least one piece of summary feedback from the user further comprises prompting the user to score the summary and provide comments explaining the score via a dialog box.