Abstract: A computer system is provided and is programmed to: (1) display, via a first client device, a prompt to a first user; (2) receive, from the first client device, a first response captured by the first client device in response to the prompt; (3) transmit to at least a second client device, a link to view the first response, wherein the second client device is configured to display the first response; (4) receive, from the second client device, a second response captured by the second client device in response to the first response; and/or (5) associate the second response with the first response.

Abstract: A computer system is provided and is programmed to: (1) display, via a first client device, a prompt to a first user; (2) receive, from the first client device, a first response captured by the first client device in response to the prompt; (3) transmit to at least a second client device, a link to view the first response, wherein the second client device is configured to display the first response; (4) receive, from the second client device, a second response captured by the second client device in response to the first response; and/or (5) associate the second response with the first response.

Abstract: An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to gig-economy workers. Such recommendations may include targeted alerts to notify gig-economy workers of high-demand situations or to coordinate between gig-economy workers and gig-economy customers. Alerts may be generated based upon current excess demand for gig-economy services, as well as gig-economy worker availability and preferences. For example, alerts may be generated in response to detecting emergency conditions in an area in order to mobilize a large number of gig-economy transportation service providers.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to gig-economy workers. Such recommendations may include targeted alerts to notify gig-economy workers of high-demand situations or to coordinate between gig-economy workers and gig-economy customers. Alerts may be generated based upon current excess demand for gig-economy services, as well as gig-economy worker availability and preferences. For example, alerts may be generated in response to detecting emergency conditions in an area in order to mobilize a large number of gig-economy transportation service providers.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to the gig-economy worker. Such recommendations may include recommendations to optimize gig metrics of interest to the gig-economy worker. Such recommendations may be related to nearby products or services and may be displayed to gig-economy workers or customers in various embodiments.

Abstract: An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Transferable tokens may be used to apply information across various types of gig activities. Such a transferable token may represent one or more risk levels associated with a gig-economy worker to provide reputational information between gig-economy platforms or between types of gig-economy activities. Thus, the transferable token may enable a gig-economy worker to transfer high customer ratings across gig-economy platforms.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Transferable tokens may be used to apply information across various types of gig activities. Such a transferable token may represent one or more risk levels associated with a gig-economy worker to provide reputational information between gig-economy platforms or between types of gig-economy activities. Thus, the transferable token may enable a gig-economy worker to transfer high customer ratings across gig-economy platforms.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Gig-related activities may be automatically detected based upon data provided by a mobile device associated with the gig-economy worker, thereby automatically generating a record of such activities for the worker. Telematics data indicative of movement of a vehicle may be collected and analyzed to detect gig-economy activities. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to the gig-economy worker.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Gig-related activities may be automatically detected based upon data provided by a mobile device associated with the gig-economy worker, thereby automatically generating a record of such activities for the worker. Telematics data indicative of movement of a vehicle may be collected and analyzed to detect gig-economy activities. During or after performance of gig-economy work, data automatically collected may be used to generate and present recommendations or education points to the gig-economy worker.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: A computer-implemented method for providing a searchable aggregated data structure for a networked application. Source data in a plurality of formats is acquired from delivery service computers associated with food or beverage delivery services over a communication network. Acquired source data includes, for each of the food or beverage delivery services, data representing multiple source menu items. Acquired source data is mapped according to a predetermined data format. Formatted data is linked to common sources of the source menu items based on identification data. Common menu items among the source menu items are identified, and, for each identified common menu item, the source menu items are associated with a master menu item. Linked data and master menu items are combined into a master data set. The master data set and the identification data are imported into the searchable aggregated data structure.

Abstract: A computer-implemented method for providing a searchable aggregated data structure for a networked application. Source data in a plurality of formats is acquired from delivery service computers associated with food or beverage delivery services over a communication network. Acquired source data includes, for each of the food or beverage delivery services, data representing multiple source menu items. Acquired source data is mapped according to a predetermined data format. Formatted data is linked to common sources of the source menu items based on identification data. Common menu items among the source menu items are identified, and, for each identified common menu item, the source menu items are associated with a master menu item. Linked data and master menu items are combined into a master data set. The master data set and the identification data are imported into the searchable aggregated data structure.

Abstract: An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

Abstract: A computer-implemented method for providing a searchable aggregated data structure for a networked application. Source data in a plurality of formats is acquired from delivery service computers associated with food or beverage delivery services over a communication network. Acquired source data includes, for each of the food or beverage delivery services, data representing multiple source menu items provided by multiple restaurants. Acquired source data is mapped according to a predetermined data format. Formatted data is linked to common restaurants based on restaurant identifier data. Common menu items among the source menu items are identified, and, for each identified common menu item, the source menu items are associated with a master menu item. Linked data and master menu items are combined into a master data set. The master data set and the restaurant identifier data are imported into the searchable aggregated data structure.

Abstract: Techniques are disclosed herein for presenting feature images corresponding to visual depictions of features or products. The feature images are selected based on a budget for a complete room including the features or products.

Abstract: An example system includes a first wearable computing device, and at least one additional wearable computing device. The first wearable computing device is configured to retrieve information regarding a series of tasks to be performed in treating a patient in cardiopulmonary arrest. The information includes, for each task, an indication of a user to perform the task, an indication of a time point to perform the task. The first wearable computing device is further configured identify one or more subsets of the information, and transmit each subset to a different corresponding one of the additional wearable computing devices. Each additional wearable computing device is configured to receive, from the first wearable computing device, at least one of the one or more subsets of the information, and output, for each task within a received subset, a corresponding prompt to perform the task at the respective time point associated with the task.

Abstract: Techniques are disclosed herein for presenting feature images corresponding to visual depictions of features or products matching a particular room type and décor style. The techniques may be used assist homeowners in the design or decoration of their home, thereby improving home improvement results and the user experience. The techniques described herein allow the homeowner or user to adequately select building materials and décor items by themselves because they can rely on other users' experiences, a form of crowdsourcing that promotes satisfactory results. The techniques disclosed herein may provide a crowdsourced starting point based on an iterative process and customization options based on the particular user's own taste and budget.