Automated distraction measurement of machine operator

• US 9,428,052 B1
• Filed: 09/06/2013
• Issued: 08/30/2016
• Est. Priority Date: 09/08/2012
• Status: Expired due to Fees

• Current Assignee: Octo Advisory Inc.
• Original Assignee: Towers Watson Software Limited (Willis Towers Watson plc)
• Inventors: Raz, Ofer Nissim
• Primary Examiner(s): Previl, Daniel
• Application Number:
  US14/020,056
• Time in Patent Office: 1,089 Days
• Field of Search: 340/575, 340/439, 340/576, 340/573.1, 340/573.3, 340/568.1, 340/555, 340/545.3, 340/541, 340/539.31, 340/539.21, 340/539.22
• US Class Current: 1/1
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 40/08 related to drivers or passengers

Abstract

A system and method for automated monitoring/evaluating of the distraction of an operator of a controllably movable object, and more specifically, but not exclusively, to a system for monitoring and/or evaluating distraction of a driver of a vehicle and providing a score to the level of distraction relating to the use of other device while driving.

Claims

1. A portable electronic device-implemented method, comprising:

a) initiating a driving monitoring event on said portable electronic device associated with an operator of a controllably movable object, said portable electronic device including a stored program computing system executing instructions retrieved from a memory and including a user interface;

b) detecting association of said portable electronic device with said controllably moveable object;

c) collecting, using said portable electronic device, an accumulated time of an association of said portable electronic device with said controllably moveable object;

d) logging, using said portable electronic device, an accumulated time of one or more manual operation events of said portable electronic device that distract the operator during said association of said portable electronic device with said controllably moveable object; and

e) establishing a distraction metric of said operator responsive to and based on said accumulated time of an association of said portable electronic device with said controllably moveable object and said accumulated time of one or more manual operation events of said portable electronic device during said association of said portable electronic device with said controllably moveable object.

2. The method of claim 1 wherein said logging step d) includes a detection of an operation of said user interface during said association of said portable electronic device with said controllably moveable object.

3. The method of claim 1 wherein said detecting step b) includes an automatic detection of an initiation of an operator-controlled movement session of said controllably moveable object by portable electronic device.

4. The method of claim 1 wherein said one or more manual operation events of said portable electronic device are selected from a plurality of different activities of said portable electronic device and wherein said logging step d) includes a logging of an accumulation of time for each activity of said plurality of different activities.

5. The method of claim 4 wherein said portable electronic device includes one or more environmental sensors, each sensor providing an environmental parameter and wherein each said manual operation event includes an associated value from at least one of said one or more environmental sensors at a time of said manual operation event.

6. The method of claim 5 wherein said logging step d) further determines for each said manual operation event, responsive to said one or more environmental parameters for said manual operation event, an operational difficulty for said controllably moveable object at said time of said manual operation event.

7. The method of claim 1 wherein said portable electronic device includes one or more environmental sensors, each sensor providing an environmental parameter and wherein each said manual operation event includes an associated value from at least one of said one or more environmental sensors at a time of said manual operation event.

8. The method of claim 7 wherein said logging step d) further determines for each said manual operation event, responsive to said one or more environmental parameters for said manual operation event, an operational difficulty for said controllably moveable object at said time of said manual operation event.

9. The method of claim 1 wherein said controllably movable object includes a manually-operable passenger vehicle.

10. An automated distraction measuring method, comprising:

a) establishing an association of a controllably movable motorized object with an operator associated with a portable electronic device, said portable electronic device including a computing system having a processing unit and a memory storing program instructions;

b) monitoring a status of said device during said association of said controllably movable motorized object with said operator to detect one or more driver distraction events, said monitoring step b) producing a set of parameters from said device, wherein the set of parameters comprise;

a duration and mileage of a driving session associated with the controllably movable motorized object,

a duration of each driver distraction event of the operator associated with using said device during the duration of the driving session, and

a driving difficulty value for the duration of each driver distraction event; and

c) calculating a distraction metric for said operator responsive to said set of parameters.

11. The method of claim 10 wherein said controllably movable motorized object includes a manually-operable passenger vehicle.

12. The method of claim 11 wherein said set of parameters includes one or more vehicle performance metrics determined by said device.

13. The method of claim 10 wherein said controllably movable motorized object includes a manually-operable passenger vehicle and wherein said set of parameters includes one or more vehicle performance metrics determined by said device.

14. An apparatus, comprising:

a portable electronic device associated with an operator of a motorized vehicle, the portable electronic device comprising;

a memory that includes a stored program;

a user-interface that is configured to receive an input from the operator to initiate a driving monitoring event that determines a duration and a mileage of a driving session of the motorized vehicle; and

a processor that is configured to execute the stored program responsive to receiving the input to initiate the driving monitoring event, wherein executing the stored program causes the processor to;

detect one or more driver distraction events of the operator associated with using the portable electronic device during the duration of the driving session;

determine and log a duration associated with each driver distraction event;

calculate a driving difficulty value for the duration of each driver distraction event based on operational characteristics of the motorized vehicle, wherein the driving difficulty is representative of a severity of the respective driver distraction event; and

calculate a distraction score associated with the operator using the duration and the mileage of the driving session, the duration of each driver distraction event, and the driving difficulty value for the duration of each driver distraction event.

15. The apparatus of claim 14, wherein the processor detects one or more driver distraction events by monitoring and detecting a change in status of the portable electronic device.

16. The apparatus of claim 14, wherein the processor detects one or more driver distraction events by monitoring and detecting a switching between or switching to one or more applications from a current application running on the portable electronic device.

17. The apparatus of claim 14, wherein the processor detects one or more driver distraction events by monitoring and detecting an manual interaction of the operator with the portable electronic device.

18. The apparatus of claim 14, wherein the processor calculates a distraction score associated with the operator by calculating an average event distraction level by averaging the driving difficulty value for all the driver distraction events;

calculating a rate of driver distraction events per mile of the motorized vehicle'"'"'s driving session based on a number of the driver distraction events and the mileage of the driving session; and

calculating a percentage of distraction time per driving session based on a total duration of all the driver distraction events and the duration of the driving session.