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Personal Cognitive Actuary for Automotive Insurance Risk Assessment and Transport Recommendations Disclosure Number: IPCOM000246211D
Publication Date: 2016-May-17
Document File: 3 page(s) / 267K

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The Prior Art Database


Disclosed are the workings of a cognitive actuarial agent. In partnership with auto insurance providers, it interfaces with wearable devices to collect and interpret data in order to understand user states and abilities, and then make recommendations as to whether it is safe to drive; unsafe conditions might result in higher risk and higher insurance rates.

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Personal Cognitive Actuary for Automotive Insurance Risk Assessment and

Personal Cognitive Actuary for Automotive Insurance Risk Assessment and Transport Recommendations

Alternatives to driving are growing and becoming omnipresent to individuals connected to the Internet. These alternatives include mobile enabled car-sharing services, mobile cab hailing, and mobile enabled micro-rental services. Self-driving vehicles coupled to the Internet are expected to greatly expand markets for these services. To survive, the auto insurance industry must provide customers a ways to be smart drivers, successfully avoid accidents, reduce risk and cost, and enjoy driving. Insuring human drivers will likely remain a profitable business, but will require closer partnership between insurers and drivers, much as health insurers take up prevention. Unlike in health care, the human driver can always opt to stop driving altogether, which would be disastrous to the industry.

The novel contribution is a system that uses wearable sensors to determine driving ability, suggests alternatives to driving based on a variety of factors, and shares projected risks and insurance costs with drivers who choose to drive under current conditions. A driver can use this shared projection data to better understand how the current cognitive state and ability will likely impact said driver's insurance premium. The benefits of sharing this "forward model" data with a driver via smartphone or in-car indicator and display are to keep drivers driving under ideal circumstances, lower insurance costs, and reduce payouts by the insurance company.

The system is comprised of a cognitive driving assessment and wearables/portable computational devices.

Cognitive Driving Assessment

Using cognitive systems, the proposed system analyzes the user's cognitive state, reaction times, and physiology, before the user makes the commitment to drive. This analysis can be used to determine if the user is impaired or has limitations such as physical disabilities or health conditions that may affect the ability to perform certain actions while driving. For example, if the driver's health record indicates that the driver has complained of knee or leg problems, the cognitive driving assessment module shares that information with the suggestion module. The suggestion module can propose alternatives to driving until the leg has healed. With a total physical and physiological model of the driver and knowledge of current road and driving conditions, the system can more accurately assess the risks immediately relay those risks to the driver.

Wearables/Portable Computational Devices

The system uses certain feature extraction techniques to identify certain cognitive states. Specifically, the reduction of a set of behavioral measures over some period of time to a set of feature nodes and vectors, corresponding to the behavi...