Convolutional neural network (cnn)-based suggestions for anomaly input
US-2019108439-A1 · Apr 11, 2019 · US
US11227103B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11227103-B2 |
| Application number | US-201916674962-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 5, 2019 |
| Priority date | Nov 5, 2019 |
| Publication date | Jan 18, 2022 |
| Grant date | Jan 18, 2022 |
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Provided is a method for identifying problematic input fields in a webform. The method comprises obtaining a set of user interaction data for a plurality of user interactions with input fields of a webform. The user interaction data for each input field includes data corresponding to at least one aspect. The method comprises assigning an aspect value to each aspect of each user interaction with each input field. The method comprises aggregating aspect values into an aggregated aspect value for each input field, generating a score for each input field based at least in part on the aggregated aspect field, ranking the input fields by their respective scores to identify at least one particular input field in the webform as problematic, and indicating that the at least one particular input field in the webform is problematic.
Opening claim text (preview).
What is claimed is: 1. A method comprising: obtaining a set of user interaction data for a plurality of user interactions with input fields of a webform, wherein the user interaction data for each input field includes data corresponding to at least one aspect; assigning a respective aspect value to each aspect of each user interaction with each input field, wherein the aspect value correlates to user hesitancy regarding the input field; aggregating the aspect values into an aggregated aspect value for each input field; generating a score for each input field based at least in part on the aggregated aspect value; comparing the scores for each of the input fields to identify an order ranking the input fields such that a particular input field which is ranked first is identified as most problematic in terms of user hesitancy; indicating that the particular input field is most problematic in terms of user hesitancy; and replacing an input field prompt of the most problematic input field with an updated input field prompt, wherein the updated input field prompt is assigned a different input field identifier than the input field prompt of the most problematic input field. 2. The method of claim 1 , wherein generating a score for each input field includes: ranking the input fields by each aggregated aspect value to generate field values for each input field; weighting the field values for each input field; and combining the weighted field values for each input field into the score for each input field. 3. The method of claim 1 , wherein the at least one aspect is selected from a group consisting of: a duration of time active in a particular input field; a number of changes in a particular input field; a number of invalid inputs in a particular input field; a number of times the webform is closed, moved from, times-out, or exited while a particular input field is active; and a number of times a particular input field is copied. 4. The method of claim 3 , wherein aggregating the aspect values includes dividing the aspect value for each input field by a number of user interactions with the respective input field. 5. The method of claim 1 , wherein assigning the respective aspect value to each aspect of each user interaction with each input field includes relating each aspect to a respective expected aspect value. 6. The method of claim 1 , wherein assigning the respective aspect value to each aspect of each user interaction with each input field includes relating each aspect to a respective average aspect value. 7. The method of claim 1 , further comprising: providing a suggested change to be made to an input field prompt of the most problematic input field to improve user hesitancy regarding the most problematic input field. 8. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: obtaining a set of user interaction data for a plurality of user interactions with input fields of a webform, wherein the user interaction data for each input field includes data corresponding to at least one aspect; assigning a respective aspect value to each aspect of each user interaction with each input field, wherein the aspect value correlates to user hesitancy regarding the input field; aggregating the aspect values into an aggregated aspect value for each input field; generating a score for each input field based at least in part on the aggregated aspect value; comparing the scores for each of the input fields to identify an order ranking the input fields such that a particular input field which is ranked first is identified as most problematic in terms of user hesitancy; indicating that the particular input field is most problematic in terms of user hesitancy; and replacing an input field prompt of the most problematic input field with an updated input field prompt, wherein the updated input field prompt is assigned a different input field identifier than the input field prompt of the most problematic input field. 9. The computer program product of claim 8 , wherein generating a score for each input field includes: ranking the input fields by each aggregated aspect value to generate field values for each input field; weighting the field values for each input field; and combining the weighted field values for each input field into the score for each input field. 10. The computer program product of claim 8 , wherein aggregating the aspect values includes dividing the aspect value for each input field by a number of user interactions with the respective input field. 11. The computer program product of claim 8 , wherein assigning the respective aspect value to each aspect of each user interaction with each input field includes relating each aspect to a respective expected aspect value. 12. The computer program product of claim 8 , wherein assigning the respective aspect value to each aspect of each user interaction with each input field includes relating each aspect to a respective average aspect value. 13. A system for identifying a problematic input field in a webform, the system comprising: a memory; and a processor communicatively coupled to the memory, wherein the processor is configured to perform a method comprising: obtaining a set of user interaction data for a plurality of user interactions with input fields of a webform, wherein the user interaction data for each input field includes data corresponding to at least one aspect; assigning a respective aspect value to each aspect of each user interaction with each input field, wherein the aspect value correlates to user hesitancy regarding the input field; aggregating the aspect values into an aggregated aspect value for each input field; generating a score for each input field based at least in part on the aggregated aspect value; comparing the scores for each of the input fields to identify an order ranking the input fields such that a particular input field which is ranked first is identified as most problematic in terms of user hesitancy; indicating that the particular input field is most problematic in terms of user hesitancy; and replacing an input field prompt of the most problematic input field with an updated input field prompt, wherein the updated input field prompt is assigned a different input field identifier than the input field prompt of the most problematic input field. 14. The system of claim 13 , wherein generating a score for each input field includes: ranking the input fields by each aggregated aspect value to generate field values for each input field; weighting the field values for each input field; and combining the weighted field values for each input field into the score for each input field. 15. The system of claim 13 , wherein aggregating the aspect values includes dividing the aspect value for each input field by a number of user interactions with the respective input field. 16. The system of claim 13 , wherein assigning the respective aspect value to each aspect of each user interaction with each input field includes relating each aspect to a respective expected aspect value. 17. The system of claim 13 , wherein: the method includes analyzing user hesitancy regarding input field prompts of the webform, and analyzing user hesitancy includes: obtaining the set of user interaction data; assigning the respective aspect value to each aspect; aggregating the aspect values; generating the score for each inp
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