PATENT CLAIM ANALYSIS

Application Number: 16390640
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["715", "815000"]

Abstract:
A method, system, and computer program product for modifying an application button size includes: receiving user interaction data associated with an application button, the user interaction data including at least tap data; determining a quantity of missed taps associated with the application button by analyzing the user interaction data, where a missed tap is a tap a predetermined distance from the application button; comparing the quantity of missed taps to a quantity of overall taps to determine a tap ratio, where the quantity of overall taps is a total number of taps for the application button, and where the tap ratio is a ratio of the quantity of missed taps to the quantity of overall taps; determining whether the tap ratio is above a missed tap threshold; and, in response to determining that the tap ratio is above the missed tap threshold, increasing a size of the application button.

Claim (Index 1):
A computer-implemented method comprising:\n receiving user interaction data associated with an application button, the user interaction data including at least tap data, tap data including data pertaining to taps associated with an application button, wherein tap data includes quantity of taps, location of taps, and time of taps; determining a quantity of missed taps associated with the application button by analyzing the user interaction data, wherein a missed tap is a tap a predetermined distance from the application button, and wherein determining the quantity of missed taps comprises:\n determining a buffer region surrounding the application button, wherein the buffer region is determined using previous locations of taps from a history of tap data, and wherein the buffer region is a region outside of an outer boundary of the application button, \n identifying nearby application buttons, wherein the nearby application buttons are one or more application buttons within a first region of the application button, \n determining a nearby buffer region for each of the nearby application buttons, and \n calculating, using the user interaction data, a quantity of taps between the buffer region and the nearby buffer regions, and a quantity of taps within a second region of the application button, the second region smaller than the first region; \n comparing the quantity of missed taps to a quantity of overall taps to determine a tap ratio, wherein the quantity of overall taps is a total number of taps, including the quantity of missed taps, for the application button, and wherein the tap ratio is a ratio of the quantity of missed taps to the quantity of overall taps, wherein comparing the quantity of missed taps to the quantity of overall taps comprises:\n determining, using the user interaction data, a quantity of buffer taps, wherein a buffer tap is a tap inside the buffer region, \n determining, using the user interaction data, a quantity of hit taps, wherein a hit tap is a tap on the application button, and \n calculating the quantity of overall taps using the quantity of missed taps, the quantity of buffer taps, and the quantity of hit taps; \n determining whether the tap ratio is above a missed tap threshold; in response to determining that the tap ratio is above the missed tap threshold, increasing a size of the application button; in response to increasing the size of the application button, detecting user selection of the application button; and in response to detecting the user selection of the application button, decreasing the size of the application button.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 2.91071
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15635253', '13871905', '14716355', '14108569', '13069675']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.257504198167694
- 35 USC 102 Novelty (BERT): 0.5317659331377538
- Combined Prediction Score: 0.2849303716647
- Mean Citation Score: 174.731924
- Max Citation Score: 373.63852
- Similarity Product: 345.9721653495836

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test