Patent Issued for System, method, and program product for interactively prompting user decisions (USPTO 11842652): Aimcast IP LLC

2024 JAN 02 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Aimcast IP LLC (Santa Monica, California, United States) has been issued patent number 11842652, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors.

The patent’s inventors are Arazi, Matan (Santa Monica, CA, US).

This patent was filed on January 6, 2023 and was published online on December 12, 2023.

From the background information supplied by the inventors, news correspondents obtained the following quote: “Lifestyle and health management has been an established industry with extensive content in periodicals, books, membership services, and the like. A long felt need in this industry has been to address a fundamental issue with respect to any health management scheme, which is effective assistance in self-monitoring and health and lifestyle management. Certain programs have addressed this issue by introducing oversight and/or peer support. For example, services such as Weight Watchers® include periodic meetings for members of the program to offer guidance, support, and a certain degree of oversight. With technological advancements in personal devices, certain software applications (“apps”) provide for recording user activity, journaling consumption, monitoring health parameters (e.g., heartrate), etc., which may be tied to traditional health management services like Weight Watchers® and other more modern technological solutions like MyFitnessPal® provided by Under Armor® and “Diabetes Prevention Program” provided by Lark™ (http://www.lark.com/dpp-diabetes-prevention-program/) to name a few.

“Current technology relies largely upon self-reporting (e.g., meal and consumption journaling) with retrospective oversight. Such retrospective analysis, which may include some form of reward and punishment scheme, incentivizes inaccurate reporting (either on purpose or by accident) and fails to provide users with effective support at the moments when support is most needed. Indeed, applications today are not technologically capable of providing a real-time notification for an accurate and timely stimulus. Furthermore, the retrospective reporting gives rise to opportunities for users to cheat the system by inaccurate reportage after the fact. Current systems, methods, and program products are unable to evaluate user activity, user preference to provide precisely timed and situationally targeted prompts and/or stimuli for encouraging lifestyle choices and reinforcing health habits at or before a decision point is being made by a user.”

Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “In view of the above, it is an object of the present disclosure to provide a technological solution to address the long felt need and technological challenges faced in health management services of procuring precisely timed health management directives, such as prompts, rewards, recommendations, challenges or other stimuli to users, such that positive choices are encouraged (and potentially, rewarded) at moments of decision, in contrast with conventional systems that are based on after-the-fact analysis, reward, and punishment. The present disclosure provides for an automated health care system using machine learning and/or heuristic systems that encourages individuals to make everyday choices by detecting situations in real time at or in advance of a decision point in being made by a user in which stimuli are most likely to be the most successful. Another advantage of the present disclosure is that by providing pre-emptive identification of user decision points and real time data capture, both the ability and inclination of users to provide inaccurate reporting is diminished. Collectively, these advantages work in favor of the users themselves as well because it makes it harder to effectively fool the system, method and program product described herein, thereby increasing user compliance and benefits from using the present disclosure.

“In embodiments, a method comprises: (a) providing a lifestyle modification computer system comprising one or more computers and including at least: (1) a plurality of databases stored in respective memory operatively connected to the lifestyle computer system including: (A) a lifestyle database comprising: (i) first raw time-stamped streaming data including a plurality of sets of time-stamped sensor data obtained by a first user personal mobile device associated with a first user; and (ii) a respective location data label associated with each set of time-stamped sensor data; (B) a user profile database comprising: (i) location information including location data labels associated with the first user; (ii) event stream information including previously identified event streams associated with the first user and comprising a plurality of time-sequenced location data labels associated with the first user and respective type of stimulus information associated with each respective previously identified event stream; (iii) goal information indicating at least one selected goal in lifestyle behavior of the first user, wherein the at least one selected goal in lifestyle behavior is a subset of a plurality of goals in lifestyle behaviors organized by category of goal in lifestyle behavior; and (iv) budget information including an available budget to provide stimuli to the first user; (C) an available stimulus database comprising available stimulus information comprising a plurality of available stimulus items and for each available stimulus item of the plurality of available stimulus items comprising: (i) respective type of stimulus information including a respective categorization of the stimulation information associated with the at least one selected goal in lifestyle behavior; (ii) respective cost information including a respective cost associated with the respective stimulus item; and (iii) respective availability information including a respective time period when the respective stimulus item is available; and (D) a stimulus database comprising: (i) query information comprising: 1. a plurality of queries; 2. respective stimulus information associated with each query of the plurality of queries; and 3. respective outcome information associated with each query of the plurality of queries; (2) a plurality of modules including: (A) a personal information module; (B) a situation module; (C) a training set generation module; (D) a stimulus module; and (E) a manager module; (b) obtaining, by the personal information module of the lifestyle modification computer system from the first user personal mobile device, second raw time-stamped streaming data including a first set of time-stamped sensor data associated with a first time period, wherein the first set of time-stamped sensor data includes: (1) time-stamped location information associated with a location of the first user personal mobile device at a first time in the first time period; and (2) time-stamped motion information associated with movement of the first user personal mobile device at a first time in the first time period; © upon obtaining the second raw time-stamped streaming data, processing, in real-time by the personal information module of the lifestyle modification computer system, the second raw time-stamped streaming data by the steps of: (1) determining, in real-time, a first location data label associated with the location of the first user personal mobile device at the first time, wherein the determining step is made by comparing, at least the time-stamped location information with the location information associated with the first user stored in the user profile database to determine the first location data label; (2) updating the lifestyle database by storing the second raw time-stamped streaming data labelled with the first location data label; and (3) notifying the situation module that there is updated lifestyle information; (d) upon receiving the update notification, processing, in real-time by the situation module of the lifestyle modification computer system, the updated lifestyle information by performing, the steps of: (1) obtaining, by the situation module, the updated lifestyle information including the second raw time-stamped stream data with its associated first location data label and a second plurality of sets of time-stamped sensor data and corresponding location data labels, wherein the second plurality of time-stamped sensor data is a subset of the plurality of sets of time-stamped sensor data and each of the second plurality of sets of time-stamped sensor data is sequentially related by time interval and are within a threshold period of time; (2) generating, by the situation module, a first event stream organized by timestamps associated with each respective location data label corresponding to the second plurality of sets of time-stamped sensor data; (3) analyzing, by the situation module, the generated first event stream against event stream information obtained from the user profile database associated with the first user to determine a predicted event expected to occur within a second time period; (4) upon determining the predicted event expected to occur within the second time period, sending, from the situation module to the manager module, the generated first event stream as a first query to the manager module; (e) upon receipt of the first query, processing, in real-time by the manager module, the first query by the steps of: (1) providing, by the manager module, the first query as a data input to a first machine-learning algorithm with a training set provided by the training set module to generate first stimulus information to be sent to the first user personal mobile device, the first stimulus information including a first type of stimulus information indicating a first categorization of the first stimulus information associated with the at least one goal in lifestyle behavior; wherein the training set includes a plurality of the previously identified event streams associated with the first user, tagged with stimulus information indicating a respective stimulus offered to the first user and corresponding respective stimulus outcome information indicating one or more respective actions taken in response to the respective stimulus offered; (2) generating, by the manager module via the first machine-learning algorithm, the first stimulus information; and (3) sending the first stimulus information to the stimulus module of the lifestyle modification computer system; (f) upon receipt of the first stimulus information, processing, in real-time by the stimulus module, the first stimulus information to select a first stimulus including a first stimulus item to be sent to the first user personal mobile device, based on available stimulus items in the available stimulus database, and outcome information in the stimulus database indicating prior outcomes of one or more stimuli offered in association with prior event streams, wherein the first stimulus is a first type of stimulus, and wherein the first stimulus is selected from available stimulus items that are associated with both the first type of stimulus and outcome information indicating a positive outcome; and (g) sending, by the lifestyle modification computer system to the first user personal mobile device, the first stimulus, wherein the first stimulus is situationally targeted with respect to the at least one selected goal in lifestyle behavior such that the first stimulus is sent to provide a real-time notification to the first user via the personal mobile device; and (h) collecting, by the collection module, a first outcome associated with the first stimulus and causing the stimulus module to update the stimulus database with at least the first query, the first stimulus, and the first outcome.”

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The claims supplied by the inventors are:

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For the URL and additional information on this patent, see: Arazi, Matan. System, method, and program product for interactively prompting user decisions. U.S. Patent Number 11842652, filed January 6, 2023, and published online on December 12, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11842652)&db=USPAT&type=ids

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