Human emotion metrics for navigation plans and maps

• US 8,352,179 B2
• Filed: 03/16/2012
• Issued: 01/08/2013
• Est. Priority Date: 12/14/2010
• Status: Expired due to Fees

• Current Assignee: AirBNB Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: French, Paul B., Thiebaut-George, Eric, Lucey, Niall Jude, Truss, Michael, Stern, Edith Helen
• Primary Examiner(s): NGUYEN, TAN QUANG
• Application Number:
  US13/422,481
• Publication Number:
  US 20120191338A1
• Time in Patent Office: 298 Days
• Field of Search: 701/410, 701/411, 701/413, 701/418, 701/423, 701/425, 704/270, 704/275
• US Class Current: 701/410
• CPC Class Codes: G01C 21/3415 Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
• CPC Class Codes: G01C 21/3453 Special cost functions, i.e. other than distance or default speed limit of road segments

Abstract

An enhanced navigation system allowing navigation route and destination planning according to user-specified criteria for the emotion state of persons along the route, at the destination, or both. The enhancement is accomplished by receiving a set of human emotion metrics corresponding to one or more parts of a navigation plan; determining if the human emotion metrics meet one or more user-specified criteria; responsive to not meeting the criteria, determining an alternate navigation plan until the user-specified criteria are met; and responsive to the criteria being met, presenting the navigation plan to the user for laying into a navigation system, and optionally during execution of the navigation plan updating the received human emotion metrics; repeating the determination against the user-specified criteria; and repeating the steps of determining an alternate navigation plan and presentation to a user responsive to the updated human emotion metrics not meeting the user-specified criteria.

Claims

1. A computer-implemented method for enhanced navigation route and destination planning comprising:

receiving by a computer a first human emotion metric corresponding to a travel destination or to a travel segment;

comparing by the computer the received human emotion metric to a user-specified criterion to determine a degree of correlation between the destination or segment and a user preference; and

providing by the computer an indication to a user of acceptability or unacceptability of the travel destination or travel segment according to the degree of correlation.

2. The method as set forth in claim 1 wherein the human emotion metric is received from at least one source selected from a group consisting of a user'"'"'s mobile device, a social web site server, a human emotion metrics aggregation server, a separate application program, a separate server, and an emotion sensor.

3. The method as set forth in claim 1 wherein the user comprises a device selected from a group consisting of an on-board vehicle navigation system, a portable navigation system, an application program, and a directions server.

4. The method as set forth in claim 1 further comprising, subsequent to initially providing an indication to a user of acceptability or unacceptability of the travel destination or travel segment according to the degree of correlation, repeating the receiving, comparing and indicating of acceptability or unacceptability responsive to a change in the first human emotion metric.

5. The method as set forth in claim 1 further comprising, subsequent to initially providing an indication to a user of acceptability or unacceptability of the travel destination or travel segment according to the degree of correlation, performing the receiving, comparing and indicating of acceptability or unacceptability responsive to receipt of a second human emotion metric corresponding to a travel destination or to a travel segment.

6. The method as set forth in claim 5 wherein the second human emotion metric corresponds to a different travel destination or to a different travel segment than the first human emotion metric.

7. The method as set forth in claim 1 wherein the human emotion metric corresponds to a temporal metric determined by computing a value of human emotion metric of a set of human emotion metrics for people for a period of time, wherein the set consists of human emotion metrics for the same people traveling along the travel segment for the period of time, human emotion metrics for people being at the at the travel destination for the period of time, or both human emotion metrics for people traveling along the travel segment and human emotion metrics for people being at the travel destination for the period of time.

8. The method as set forth in claim 7 wherein the computing comprises computing a difference value between the value of the human emotion metrics for the same people upon beginning traveling along the travel segment and the value of the human emotion metrics for the same people upon ending traveling along the travel segment.

9. The method as set forth in claim 7 wherein the computing comprises computing a difference value between the value of the human emotion metrics for the same people upon arriving at the travel destination and the value of the human emotion metric for the same people at a time after remaining at the travel destination.

10. The method as set forth in claim 1 wherein the human emotion metric corresponds to an aggregate metric determined by computing a current aggregate value of the human emotion metric of a plurality of people selected from a group consisting of human emotion metrics from people who have previously traveled along the travel segment, human emotion metrics from people who are currently traveling along the travel segment, human emotion metrics from people who have visited the travel destination, and human emotion metrics from people who are currently at the travel destination.

11. The method as set forth in claim 10 wherein the indicator is an emoticon display.

12. The method as set forth in claim 10 wherein the display comprises a display selected from a group consisting of a list of travel destinations, a list of travel segments, and a map.

13. The method as set forth in claim 1 wherein the aggregate metric is selected from a group consisting of an average, a standard deviation, and an n-th derivative.

14. The method as set forth in claim 1 wherein the receiving, comparing, and providing an indication of acceptability or unacceptability further comprises receiving and comparing at least one ambient metric, and wherein the user-specified criteria further comprise at least one ambient criteria.

15. The method as set forth in claim 1 wherein the providing of the indication of acceptability or unacceptability comprises presenting an indicator associated with the travel destination or with the travel segment on a display to a human user.