# US 11,112,950 B2 · Personalizing application interfaces based on usage > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,112,950 B2 - Document ID: US11112950B2 - Status: Granted - Kind: B2 - Application number: 15/986,161 - Filed: 2018-05-22 - Published: 2019-11-28 - Granted: 2021-09-07 - Earliest claimed: 2018-05-22 - Assignees: Conduent Business Services, LLC - Applicants: Conduent Business Services, LLC - Inventors: Saurabh Srivastava; Simarjot Kaur; Tuhin Bhattacharya; Nupur Labh; James Macurak; Anuj Mahajan; Arun Rajkumar; Satish Prasad Rath; Narayanan Unny - Web page: https://patentgrep.com/patent/US11112950B2 ## CPC - G06F 3/0484: 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 - A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)} - A61B 5/7435: {Displaying user selection data, e.g. icons in a graphical user interface} - A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms} - A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick} - G06F 3/04817: using icons (graphical or visual programming using iconic symbols G06F8/34) - G06F 3/0482: Interaction with lists of selectable items, e.g. menus - G06F 3/04886: by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus - G06F 9/4451: {User profiles; Roaming} - G06F 9/451: Execution arrangements for user interfaces - A61B 2560/0223: of calibration, e.g. protocols for calibrating sensors - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract System and methods for personalizing an application include an application server for hosting an application that is executed on a wireless device, the server being configured to monitor usage of a user interface including an interaction between a user of the application and one or more user interface elements and present an updated user interface comprising one or more additional user-interface elements based on the usage. ## Claims ### Claim 1 A system for personalizing an application, the system comprising: an application server for hosting an application that is executed on a wireless device; and a processor coupled to the application server, the processor being configured to perform operations comprising: transmitting, via the application, a first user interface element to the wireless device, wherein the first user interface element comprises at least one of a prompt, a question, and a menu for an input; displaying the first user interface element on the wireless device; monitoring a usage of the first user interface element, wherein the monitoring comprises monitoring an interaction between a user of the application and the first user interface element, and wherein the monitoring further comprises detecting a first input to the prompt, measuring a time of the first input, measuring a length of the first input, determining a type of the first input, or determining that there is no input; initiating a timer as soon as the first user interface element is displayed; classifying said user into one or more stages based on a first input provided to the first user interface element and an elapsed time measured by the timer for the first input, wherein the one or more stages are related to at least one of a proficiency level, an interest level, and a behavioral level, and wherein a level of each stage ranges from a minimum value to a maximum value; determining, using a trained machine learning algorithm, one or more additional user-interface elements, based on both the monitoring and the classifying; transmitting the one or more additional user-interface elements to the wireless device; and displaying the one or more additional user interface elements on the wireless device, wherein the one or more additional user interfaces are dynamically modified via real-time updating of user-interface elements, wherein the machine learning algorithm is a modified Q-learning algorithm comprising a plurality of Q-value (s, a) state-action pairs, and wherein a reward for each Q-value (s, a) state-action pair is based on user feedback for choosing action a in state s, and wherein the action corresponds to classifying said user into a stage and the state corresponds to the first user interface element. ### Claim 2 (depends on 1) The system of claim 1, wherein the type of the first input comprises one or more of a keypress, a button, an alphanumeric string, or a selection from a list. ### Claim 3 (depends on 1) The system of claim 1, wherein the one or more stages comprise one or more levels on a scale. ### Claim 4 (depends on 1) The system of claim 1, wherein the one or more additional user-interface elements are determined based on the one or more stages. ### Claim 5 (depends on 4) The system of claim 4, wherein the stages are arranged in a hierarchical order, and the one or more additional user-interface elements are grouped in a corresponding hierarchical order. ### Claim 6 (depends on 4) The system of claim 4, wherein the one or more additional user-interface elements comprise one or more of a second prompt, a notifier, a question, or an instruction. ### Claim 7 (depends on 1) The system of claim 1, wherein the machine learning algorithm is invoked upon a number of inputs meeting a threshold, the threshold including the first input. ### Claim 8 (depends on 1) The system of claim 1, further comprising a medical device in communication with the wireless device. ### Claim 9 (depends on 8) The system of claim 8, wherein operations further comprise: receiving sensor data from a sensor coupled to the medical device; and determining the one or more additional user-interface elements based on a combination of the usage of the application and the sensor data. ### Claim 10 (depends on 9) The system of claim 9, wherein the operations further comprise transmitting commands to the medical device based on the sensor data and the usage of the application, wherein the commands comprise one or more of a calibration command to calibrate the sensor, a measurement command to the medical device to perform a measurement, an alert command to the medical device to generate an alert, or an action command to administer a treatment. ### Claim 11 (depends on 10) The system of claim 10, wherein transmitting commands to the medical device is performed by the application server via the wireless device. ### Claim 12 A method for personalizing an application, the method comprising: transmitting, by an application server, a first user interface to a wireless device via an application hosted on the application server and executed on the wireless device, wherein the first user interface element comprises at least one of a prompt, a question, and a menu for an input; displaying the first user interface element on the wireless device; monitoring, by the application server, a usage of the first user interface, wherein the monitoring comprises monitoring an interaction between a user of the application and the first user interface, and wherein the monitoring further comprises detecting a first input to the prompt, measuring a time of the first input, measuring a length of the first input, determining a type of the first input, or determining that there is no input; initiating a timer as soon as the first user interface element is displayed; classifying said user into one or more stages based on input provided to the first user interface element and an elapsed time measured by the timer for the first input, wherein the one or more stages are related to at least one of a proficiency level, an interest level, and a behavioral level, and wherein a level of each stage ranges from a minimum value to a maximum value; determining, using a trained machine learning algorithm, a second user interface based on both the monitoring and the classifying; transmitting, by the application server, the second user interface to the wireless device via the application; and displaying the second user interface on the wireless device, wherein the second user interface is dynamically modified via real-time updating of user-interface elements, wherein the machine learning algorithm is a modified Q-learning algorithm comprising a plurality of Q-value (s, a) state-action pairs, and wherein a reward for each Q-value (s, a) state-action pair is based on user feedback for choosing action a in state s, and wherein the action corresponds to classifying said user into a stage and the state corresponds to the first user interface element. ### Claim 13 (depends on 12) The method of claim 12, wherein the first user interface comprises a first plurality of user-interface elements, and the second user interface comprises a second plurality of user-interface elements. ### Claim 14 (depends on 12) The method of claim 12, further comprising determining the second plurality of user-interface elements of the second user interface based in part on the one or more stages. ### Claim 15 (depends on 12) The method of claim 12, further comprising determining the second plurality of user-interface elements of the second user interface based on a combination of the usage and data received from a sensor in communication with the wireless device. ### Claim 16 (depends on 15) The method of claim 15, wherein: the sensor further comprises a medical device, the data comprises a physiological measurement, and the method further comprises determining the second plurality of user-interface elements based in part on the physiological measurement.