Wells Fargo Bank, N.a.

Samundra Timilsina

Darius A Miranda

Paul Vittimberga

Marjorie S Anzalone

Marria Rhodriquez

David Edward Newman

Balinder Singh Mangat

Rabisankar Kulshi

Wairnola Marria Rhodriquez

Examples described herein relate to determining an actual, updated goal of a user based on emotional response data captured while an initial goal is visualized or otherwise perceived by the user, including determining an initial goal of a user, displaying an initial video depicting the initial goal, tracking, with an emotion-tracking device, emotions of the user while the video is displayed by the output circuit by determining emotional response data captured by the emotion-tracking device, updating the initial goal based on the emotional response data to determine an updated goal, and displaying the updated goal.

Systems and methods of interactive goal setting tools

Examples described herein relate to apparatuses and methods for providing an interactive computer simulation of a life of a user via a user device operated by the user by determining a goal of the user, accessing a transaction history of the user, determining an initial state of the user based on the transaction history of the user, determining a virtual path to the goal, the initial state of the user being a starting point of the virtual path to the goal, configuring the user device to display the virtual path of the goal, determining that the user has selected at least one of selectable in-simulation decisions, updating the virtual path to generate an updated virtual path based on the selected at least one of the plurality of selectable in-simulation decisions, and configuring the user device to display the updated virtual path.

Systems and methods for a whole life interactive simulation

Systems and techniques for a future state graphical visualization generator are described herein, A graphical visualization of a current state of a user may be generated using electronic profile data of the user. The graphical visualization of the current state of the user may display objects associated with the user. The objects may be associated with a set of object parameters. A goal of the user may be obtained. A set of goal parameters may be generated based on the set of object parameters and the goal of the user. A graphical visualization of the future state of the user may be generated based on the set of goal parameters. A user response may be obtained to a display of the graphical visualization of the future state of the user. Guidance may be provided to the user for adjusting a goal parameter based on the user response.

Future state graphical visualization generator

Systems and techniques for data tagging and task dataset generation are described herein. A set of context elements may be obtained for a data element in a data source. The set of context elements may be evaluated using a machine learning processor to embed one or more tags into the data element. A task to be completed by the user may be identified. A set of task tags may be determined that correspond to the task. The data source may be searched using the set of task tags to select the data element. A task dataset may be generated that includes the data element in response to the search.

Data tagging and task dataset generation

Systems and techniques for a future state graphical visualization generator are described herein. A graphical visualization of a current state of a user may be generated using electronic profile data of the user. The graphical visualization of the current state of the user may display objects associated with the user. The objects may be associated with a set of object parameters. A goal of the user may be obtained. A set of goal parameters may be generated based on the set of object parameters and the goal of the user. A graphical visualization of the future state of the user may be generated based on the set of goal parameters. A user response may be obtained to a display of the graphical visualization of the future state of the user. Guidance may be provided to the user for adjusting a gal parameter based on the user response.

An advisor system creates an advisor panel to advise a user with regards to any number of topics, such as, e.g., a financial questions or concerns the user may have. The panel is composed of one or more advisor avatars that are generated based on one or more traits of the user. The avatars may include past, present and/or future versions of the user. Various devices are utilized to display the panel to the user and allow the user to engage the panel. The system may adapt the advice provided by the panel, the features of the avatars and/or the manner in which the avatars interact with the user and/or each other in response to trends noted by the advisor system as the system is used by the user as well as others.

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South San Francisco, CA, United States of America

Samundra Timilsina