State Farm Mutual Automobile Insurance Company

Michael DiBenedetto

Audrey Schwartz

Diana Sherwood

Brian Mark Fields

James P Rodriguez

Anna Zarkoob

Emily Bryant

Kristin Sellers

Hanpei Zhang

Hannah Estes

Ben Tucker

Dar Beachy

Elijah Abella

Daniel Wilson

Daniel Davidson

Jo-Jo Lin

Daniel Wang

Sydney Volk

Zaki Goumandakoye

Zichong Li

A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family/friends via a social networking application. For instance, 'stories functionality' is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and/or otherwise record video stories, memories, and/or life experiences for sharing with their family and friends within the social networking application.

Systems and methods for relational video data storage

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.

Senior living engagement and care support platforms with chatbot and list integration

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.

Systems and methods of gig-economy fleet mobilization

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.

Systems and methods of using a transferrable token for gig-economy activity assessment

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.

Systems and methods for automatic detection of gig-economy activity

Growing community of inventors

Mesa, AZ, United States of America

Michael DiBenedetto