Cognitive needs-based trip planning

• US 9,534,914 B1
• Filed: 06/23/2016
• Issued: 01/03/2017
• Est. Priority Date: 06/25/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: DeLuca, Lisa Seacat, Kozloski, James R., Pickover, Clifford A.
• Primary Examiner(s): To, Tuan C.
• Application Number:
  US15/190,750
• Publication Number:
  US 20160377444A1
• Time in Patent Office: 194 Days
• US Class Current: 1/1
• CPC Class Codes: B60W 40/08 related to drivers or passengers
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3453 Special cost functions, i.e. other than distance or default speed limit of road segments
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/00 Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
• CPC Class Codes: G06F 3/048 Interaction techniques based on graphical user interfaces [GUI]
• CPC Class Codes: G06N 5/00 Computing arrangements using knowledge-based models
• CPC Class Codes: G08G 1/096816 where the complete route is transmitted to the vehicle at once
• CPC Class Codes: G08G 1/096838 where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data
• CPC Class Codes: G08G 1/096877 where the input to the navigation device is provided by a suitable I/O arrangement details of I/O arrangements for onboard navigation computers G01C21/36; I/O arrangements for general purpose computers G06F3/00

Abstract

A route-determination module (RDM) is provided, with the RDM having as input one or more cognitive preferences of a traveler. Further, the RDM receives input on a current or a forecasted cognitive state of the traveler, along with the cognitive load associated with one or more potential routes for traveling to a destination. A recommended route is determined based on the preference(s), state, and/or cognitive load.

Claims

1. A computer system comprising:

a processor set; and

a computer readable storage medium;

wherein;

the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and

the program instructions which, when executed by the processor set, cause the processor set to;

receive a request from a driver for a recommended trip route to drive a vehicle from a start location to a destination location;

receive a set of cognitive preferences of a driver from a GPS device including a target cognitive state for the driver;

receive a current cognitive state of the driver, the current cognitive state being based at least in part on a sleep record of the driver for a period ending at the time the current cognitive state is received;

identify a set of trip routes from the start location to the destination location;

define a state transition model of cognitive states for the driver, the state transition model being programmable by the driver for determining the recommended trip route from the set of trip routes based on a cognitive state transition from the current cognitive state to the target cognitive state;

receive a set of cognitive loads respectively corresponding to the set of trip routes, the set of cognitive loads being based at least in part on a number of complex intersections and a record of aggressive drivers for each trip route of the set of trip routes; and

determine the recommended trip route from the set of trip routes based at least in part on the set of cognitive preferences of the driver, the current cognitive state of the driver, and the cognitive loads of the set of cognitive loads respectively corresponding to the set of trip routes.