Online System For Training Novice Drivers And Rating Insurance Products

Patent metadata

Field	Value
Publication number	US-2017193842-A1
Application number	US-201715461704-A
Country	US
Kind code	A1
Filing date	Mar 17, 2017
Priority date	Mar 6, 2012
Publication date	Jul 6, 2017
Grant date	—

Abstract

a system for determining vehicle driver hazard detection proficiency and calculating insurance discounts, the system comprising: an Internet device that presents to an Internet user a visual presentation of a continuous drive through a driving environment comprising at least two hazard modules, wherein each hazard module presents to the Internet user at least one driving scenario that comprises at least one hazard; an Internet device that records user viewing locations within the visual presentation, the user viewing locations corresponding to locations within the visual presentation that are viewed by the user during the visual presentation of the continuous drive; a computer analytics device comprising an algorithm that compares the recorded user viewing locations with defined locations of hazards within the visual presentation of the continuous drive, and determines a hazard detection proficiency of the user based at least on the comparison; a computer memory device comprising at least one minimum hazard detection proficiency criteria corresponding to an insurance discount; and a computer analytics device that compares the determined hazard detection proficiency of the user with the minimum hazard detection proficiency criteria and determines whether to award the insurance discount to the user.

First claim

What is claimed is:

1 . A method for training vehicle drivers to detect hazards, the method comprising:
presenting to a user on a display device of an internet-connected device, by a processor of the internet-connected device, a visual presentation of a continuous drive through a driving environment comprising a hazard module that (a) presents to the user at least one driving scenario that comprises at least one hazard, and (b) defines, for particular driving situations occurring in the at least one driving scenario, one or more anticipatory viewing locations corresponding to each particular driving situation, the anticipatory viewing locations relating to hazards that are not currently displayed by the display device; recording, by the processor of the internet-connected device, user viewing locations within the visual presentation, the user viewing locations corresponding to locations within the visual presentation that are viewed by the user during the visual presentation of the continuous drive; evaluating, by the processor of the internet-connected device, the recorded user viewing locations to analyze user anticipation of hazards that are not currently displayed by the display device, including comparing user viewing locations recorded during the visual presentation of each particular driving situation with the one or more predefined anticipatory viewing locations corresponding to that driving situation; determining, by the processor of the internet-connected device, a hazard detection proficiency of the user based at least on the analysis of user anticipation of not currently-displayed hazards; using GPS and accelerometers associated with the internet-connected device to document the locations and driving conditions of actual drives; comparing the determined hazard detection proficiency of the user to data sensed during actual drives; and using the result of the comparison of the determined hazard detection proficiency and the data sensed during actual drives to improve a proficiency of the hazard module.

2 . The method of claim 1 , further comprising:
accessing, from a computer memory device, at least one hazard detection proficiency threshold value; comparing the determined hazard detection proficiency of the user with the at least one hazard detection proficiency threshold value; determining an insurance rate or discount for the user based at least on the results of the comparison.

3 . The method of claim 1 , wherein analyzing user anticipation of hazards that are not currently displayed by the display device comprises detection and analysis of lateral or vertical visual panning by the user.

4 . The method of claim 1 , wherein analyzing user anticipation of hazards that are not currently displayed by the display device comprises evaluating user viewing locations on the display device with respect to anticipated hazards not currently displayed by the display device.

5 . The method of claim 1 , wherein the at least one minimum hazard detection proficiency criteria comprises a minimum percentage of the total number of hazards in the visual presentation.

6 . The method of claim 1 , wherein the visual presentation comprises at least two continuous drives each through different driving environments, wherein the at least one minimum hazard detection proficiency criteria comprises a minimum percentage of hazards detected in each of the at least two continuous drives.

7 . The method of claim 1 , wherein at least one minimum hazard detection proficiency criteria comprises one detected hazard and the comparison of the determined hazard detection proficiency of the user with the minimum hazard detection proficiency criteria comprises multiplying a total insurance discount by the percent of detected hazards.

8 . A method for training vehicle drivers to detect hazards, the method comprising:
presenting to a user on a display device of an internet-connected device, by a processor of the internet-connected device, a visual presentation of a continuous drive through a driving environment comprising a hazard module that (a) presents to the user at least one driving scenario that comprises at least one hazard, and (b) defines, for particular driving situations occurring in the at least one driving scenario, one or more anticipatory viewing locations corresponding to each particular driving situation, the anticipatory viewing locations relating to hazards that are not currently displayed by the display device; recording, by the processor of the internet-connected device, user viewing locations within the visual presentation, the user viewing locations corresponding to locations within the visual presentation that are viewed by the user during the visual presentation of the continuous drive; evaluating, by the processor of the internet-connected device, the recorded user viewing locations to analyze user anticipation of hazards that are not currently displayed by the display device, including comparing user viewing locations recorded during the visual presentation of each particular driving situation with the one or more predefined anticipatory viewing locations corresponding to that driving situation; comparing, by the processor of the internet-connected device, the recorded user viewing locations with defined locations of hazards that are currently displayed by the display device to analyze user recognition of the currently-displayed hazards; and determining, by the processor of the internet-connected device, a hazard detection proficiency of the user based at least on (a) the analysis of user anticipation of not currently-displayed hazards and (b) the analysis of user recognition of currently-displayed hazards; using GPS and accelerometers associated with the internet-connected device to document the locations and driving conditions of actual drives; comparing the determined hazard detection proficiency of the user to data sensed during actual drives; and using the result of the comparison of the determined hazard detection proficiency and the data sensed during actual drives to improve a proficiency of the hazard module.

9 . The method of claim 8 , further comprising:
accessing, from a computer memory device, at least one hazard detection proficiency threshold value; comparing the determined hazard detection proficiency of the user with the at least one hazard detection proficiency threshold value; determining an insurance rate or discount for the user based at least on the results of the comparison.

10 . The method of claim 8 , wherein analyzing user anticipation of hazards that are not currently displayed by the display device comprises detection and analysis of lateral or vertical visual panning by the user.

11 . The method of claim 8 , wherein analyzing user anticipation of hazards that are not currently displayed by the display device comprises evaluating user viewing locations on the display device with respect to anticipated hazards not currently displayed by the display device.

12 . The method of claim 8 , wherein the at least one minimum hazard detection proficiency criteria comprises a minimum percentage of the total number of hazards in the visual presentation.

13 . The method of claim 8 , wherein the visual presentation comprises at least two continuous drives each through different driving environments, wherein the at least one minimum hazard detection proficiency criteria comprises a minimum percentage of hazards detected in each of the at least two continuous drives.

14 . The method of claim 8 , wherein:
the minimum hazard detection proficiency criteria comprises one detected hazard; an

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Nepomuceno John Adrian

Classifications

• G09B9/02

  for teaching control of vehicles or other craft · CPC title

• G09B19/167

  Control of land vehicles · CPC title

• G09B9/04

  for teaching control of land vehicles · CPC title

• G09B19/14

  Traffic procedures, e.g. traffic regulations · CPC title

• A63G31/16

  creating illusions of travel · CPC title