Systems and methods for facilitating wireless token interactions across multiple device types and/or token types

Patent metadata

Field	Value
Publication number	US-12463734-B2
Application number	US-202217933964-A
Country	US
Kind code	B2
Filing date	Sep 21, 2022
Priority date	Sep 21, 2022
Publication date	Nov 4, 2025
Grant date	Nov 4, 2025

Abstract

In some embodiments, a system may obtain first feedback indicating one or more first signal-strength-related results corresponding with one or more first token interactions occurring in connection with presentation of one or more first components at one or more first locations of a user interface of a user device. Based on the first feedback, the system may obtain one or more second locations of the user interface and cause presentation of one or more second components at the one or more second locations of the user interface. The system may obtain second feedback indicating one or more second signal-strength-related results corresponding with one or more second token interactions. Using the first and second feedback, the system may update a user interface presentation location at which to present a component for a token interaction within a profile associated with a user of the user device.

First claim

What is claimed is:

1 . A method comprising:
obtaining first feedback related to one or more first token interactions of a token that occurred in connection with presentation of one or more first interface components at one or more first locations of a user interface of a user device, the first feedback indicating one or more first signal strength values corresponding to the one or more first token interactions; obtaining, via a prediction model, based on the first feedback (i) a set of locations of the user interface at which presentation of interface components are predicted to evoke token interactions that satisfy a signal strength threshold and (ii) a set of confidence scores associated with the set of locations; selecting, based on the set of confidence scores, one or more locations of the set of locations that are to be tested during a test presentation, the one or more locations being selected over one or more other locations of the set of locations based on the set of confidence scores; causing presentation of one or more second interface components at the selected locations of the user interface and obtaining second feedback related to one or more second token interactions of the token that occurred in connection with the presentation of the one or more second interface components, the second feedback indicating one or more second signal strength values corresponding to the one or more second token interactions; and updating a profile associated with a user of the user device based on the first feedback and the second feedback, the profile indicating a location of the user interface at which to present an interface component for a token interaction.

2 . The method of claim 1 , further comprising:
obtaining a token interaction dataset comprising (i) interface location data indicating interface locations at which given interface components were presented to a set of users and (ii) results data indicating signal-strength-related results that correspond to token interactions by the set of users in connection with the presentation of the given interface components; and performing configuration of the prediction model based on the token interaction dataset, wherein the set of locations and the set of confidence scores are obtained subsequent to the configuration of the prediction model.

3 . The method of claim 1 , further comprising:
determining, via the prediction model, based on the first feedback, a set of offsets for a first location of the one or more first locations; and wherein obtaining the set of locations comprises determining the set of locations by offsetting the first location with the set of offsets.

4 . The method of claim 1 , further comprising:
obtaining a token interaction dataset, the token interaction dataset comprising:
a first data subset indicating (i) interface locations at which given interface components were presented on first user devices of a first device type and (ii) signal-strength-related results that correspond to token interactions with the first user devices in connection with the presentation of the given interface components on the first user devices; and
a second data subset indicating (i) interface locations at which given interface components were presented on second user devices of a second device type and (ii) signal-strength-related results that correspond to token interactions with the second user devices in connection with the presentation of the given interface components on the second user devices,
wherein the first device type has different physical dimensions from the second device type;
determining, via one or more prediction models, based on the token interaction dataset, one or more common locations at which presentation of interface components on the first and second user devices are predicted to evoke token interactions that satisfy the signal strength threshold; and causing, based on the one or more common locations, the presentation of the one or more first interface components at one or more first locations of the user interface, wherein the one or more common locations comprise the one or more first locations of the user interface.

5 . The method of claim 4 , wherein the first device type has a wireless token reader at a first position relative to a center of the first device type, and the second device type has a wireless token reader at a second position relative to a center of the second device type, the second relative position being different from the first relative position.

6 . The method of claim 4 , wherein the token interactions with the first user devices or the second user devices comprises respective token interactions of different token types with the first user devices or the second user devices, and
wherein each token type of the different token types has a transmitting antenna at a different position from a transmitting antenna of one or more other token types of the different token types.

7 . The method of claim 1 , further comprising:
selecting, based on a device type of the user device, from a plurality of prediction models that correspond to different device types, the prediction model for obtaining the set of locations, wherein each device type of the different device types has different physical dimensions from one or more other device types of the different device types.

8 . The method of claim 1 , further comprising:
selecting, based on a token type of the token, from a plurality of prediction models that correspond to different token types, the prediction model for obtaining the set of locations, wherein each token type of the different token types has a transmitting antenna at a different position from a transmitting antenna of one or more other token types of the different token types.

9 . One or more non-transitory computer-readable media comprising instructions that, when executed by one or more processors, cause operations comprising:
obtaining first feedback related to one or more first token interactions of a token that occurred in connection with presentation of one or more first components at one or more first locations of a user interface of a user device, the first feedback indicating one or more first signal-strength-related results corresponding to the one or more first token interactions; obtaining, based on the first feedback, one or more second locations of the user interface; causing presentation of one or more second components at the one or more second locations of the user interface and obtaining second feedback related to one or more second token interactions of the token that occurred in connection with the presentation of the one or more second components, the second feedback indicating one or more second signal-strength-related results corresponding to the one or more second token interactions; and updating a profile associated with a user of the user device based on the first feedback and the second feedback, the profile indicating a location of the user interface at which to present a component for a token interaction.

10 . The one or more non-transitory computer-readable media of claim 9 , wherein the instructions further cause operations comprising:
analyzing the first feedback against a comparison feedback, the comparison feedback including one or more comparison token interactions of a comparison token that occurred in connection with presentation of one or more comparison components at the one or more first locations of the user interface of a comparison user device; identifying one or more first feedback results less than a threshold results generated by the comparison feedback; generating an offset based on the one or more first feedback results and

Assignees

• Capital One Services Llc

Inventors

• Douglas Lawrence
• Johnson Clayton

Classifications

• H04B17/3913

  Predictive models, e.g. based on neural network models · CPC title

• H04B17/373

  Predicting channel quality {or other radio frequency [RF]} parameters · CPC title

• H04B17/318 Primary

  Received signal strength · CPC title