Guided personal identity based actions

US2025337806A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025337806-A1
Application numberUS-202519261499-A
CountryUS
Kind codeA1
Filing dateJul 7, 2025
Priority dateJan 13, 2015
Publication dateOct 30, 2025
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user device of a second user. In response to receiving the indication of the identifier, the user-specified action linked to the identifier is identified, the data of the first user is accessed, a user interface that includes an option to perform the user-specified action using the data of the first user is generated, and the generated user interface is presented on the second user device.

First claim

Opening claim text (preview).

What is claimed is: 1 . A system comprising: hardware processing circuitry configured to perform operations comprising: determining that an individual user frequently uses a particular application on an individual device; in response to determining that the individual user frequently uses the particular application, identifying a particular action from among multiple actions associated with the particular application; generating a user interface on the individual device to include an option to perform the particular action; and emphasizing a first of a set of options presented in the user interface over a second option of the set of options based on a device type or device model of the individual device. 2 . The system of claim 1 , the operations comprising: receiving an action from an additional device of an additional user; generating a machine-readable code that visually represents an identifier of the action and includes a graphical element representing the action; causing presentation of the machine-readable code on the additional device; determining that the individual device of the individual user has interacted with the machine-readable code presented on the additional device; and in response to determining that the individual device has interacted with the machine-readable code presented on the additional device. 3 . The system of claim 1 , the operations comprising: presenting, in the user interface, an additional option to automatically include a current location of the individual device in a message transmitted to an additional device; and disabling one or more options presented in the user interface to make one or more options unavailable to the individual user based on the device type or the device model of the individual device. 4 . The system of claim 1 , wherein the operations further comprise: causing a machine-readable code to be presented on an additional device in response to detecting a swipe gesture along a particular direction across a display of the additional device that navigates through multiple machine-readable codes. 5 . The system of claim 1 , wherein the operations further comprise: updating a metric corresponding to a machine-readable code in response to determining that the individual device of the individual user has interacted with the machine-readable code presented on an additional device; and causing the metric to be presented on the additional device of an additional user. 6 . The system of claim 1 , wherein the particular action comprises multiple user-specified actions received from an additional device, each of the multiple user-specified actions pertains to an additional user and uses data of the additional user when performed, the operations further comprising identifying the additional user and the individual user on a social network and forming a relationship between the additional user and the individual user on the social network in response to determining based on the data that the additional user and the individual user are not connected on the social network. 7 . The system of claim 1 , wherein the operations further comprise: generating a metric that includes an access count incremented each time an interaction with a machine-readable code is detected. 8 . The system of claim 1 , wherein the operations further comprise: associating contextual data with each instance of an interaction with a machine-readable code, the contextual data comprising a representation of a geographical location from which the interaction is detected, a time of day during which the interaction is detected, or a device type used to interact with the machine-readable code. 9 . The system of claim 1 , wherein the operations further comprise: identifying a characteristic by analyzing contextual data associated with each instance of an interaction with a machine-readable code; and causing presentation of the characteristic on an additional device of an additional user. 10 . The system of claim 1 , wherein the operations further comprise: identifying a density of clusterings of scans within a certain geolocation based on contextual data comprising a representation of a geographical location from which an interaction with a machine-readable code is detected; based on the density, determining that a number of scans within the certain geolocation has reached a threshold; and in response to determining that the number of scans within the certain geolocation has reached a threshold, disabling performance of the particular action in the certain geolocation. 11 . The system of claim 1 , wherein the operations further comprise displaying a geographical location from which an interaction with a machine-readable code is detected including a latitude, longitude, altitude and time stamp for a particular time period on an additional device of an additional user. 12 . A method comprising: determining that an individual user frequently uses a particular application on an individual device; in response to determining that the individual user frequently uses the particular application, identifying a particular action from among multiple actions associated with the particular application; generating a user interface on the individual device to include an option to perform the particular action; and emphasizing a first of a set of options presented in the user interface over a second option of the set of options based on a device type or device model of the individual device. 13 . A non-transitory computer readable storage medium comprising instructions that when executed by hardware processing circuitry cause the hardware processing circuitry to perform operations, the operations comprising: determining that an individual user frequently uses a particular application on an individual device; in response to determining that the individual user frequently uses the particular application, identifying a particular action from among multiple actions associated with the particular application; generating a user interface on the individual device to include an option to perform the particular action; and emphasizing a first of a set of options presented in the user interface over a second option of the set of options based on a device type or device model of the individual device. 14 . The non-transitory computer readable storage medium of claim 13 , wherein the operations further comprise: receiving an action from an additional device of an additional user; generating a machine-readable code that visually represents an identifier of the action and includes a graphical element representing the action; causing presentation of the machine-readable code on the additional device; determining that the individual device of the individual user has interacted with the machine-readable code presented on the additional device; and in response to determining that the individual device has interacted with the machine-readable code presented on the additional device. 15 . The non-transitory computer readable storage medium of claim 13 , wherein the operations further comprise: presenting, in the user interface, an additional option to automatically include a current location of the individual device in a message transmitted to an additional device; and disabling one or more options presented in the user interface to make one or more options unavailable to the individual user based on the device type or the device model of the individual device. 16 . The non-transitory computer readable storage medium of claim 13 , wherein the

Assignees

Inventors

Classifications

  • based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

  • for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

  • Office automation; Time management · CPC title

  • for operating the device by selecting functions from two or more displayed items, e.g. menus or icons · CPC title

  • by optical scanning · CPC title

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What does patent US2025337806A1 cover?
Systems and methods for guided personal identity based actions are provided. In example embodiments, a user-specified action from a first user device of a first user is received. The user-specified action pertains to the first user and uses data of the first user when performed. The user-specified action is linked to an identifier. An indication of the identifier is received from a second user …
Who is the assignee on this patent?
Snap Inc
What technology area does this patent fall under?
Primary CPC classification H04L67/104. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Oct 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).