SELECTIVE HUMAN EMOTION METRICS FOR NAVIGATION PLANS AND MAPS

• US 20170030726A1
• Filed: 07/31/2015
• Published: 02/02/2017
• Est. Priority Date: 07/31/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: French, Paul B., Healy, Jack J.
• Application Number:
  US14/815,123
• Publication Number:
  US 20170030726A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence

Abstract

An enhanced navigation system allowing navigation route and destination planning according to user-specified criteria for the emotion state of persons along a route, at a destination, or both. The enhancement is accomplished by filtering a pool of users contributing human emotion metrics corresponding to one or more parts of a navigation plan to determine a subset of users who will be the best predictors of how an operator of the enhanced navigation system will respond emotionally to routes and destinations available for navigation. The human emotion metrics provided by the subset of users can be compared with an emotion objective to determine and provide suitable routes and destinations for navigation.

Claims

1. A method for enhanced route and destination planning and navigation, the method comprising:

creating a reference table of a plurality of recently traveled route segments and destinations, and a first human emotion metrics corresponding to each of the plurality of recently traveled route segments and destinations, associated with a current user;

receiving a second human emotion metrics for each user of a first group of users who have also recently traveled the route segments and destinations associated with the reference table;

filtering the first group of users to generate a second group of “

best predictor”

users based on at least one of a predetermined threshold of similarities and a predetermined threshold of differences between the first human emotion metrics associated with the current user and each of the second human emotion metrics associated with each user of the first group of users; and

generating an indicator of acceptability or unacceptability of an available destination and one or more associated route segments based on a correlation between a third human emotion metrics, associated with the second group of “

best predictor”

users, and an emotion objective for the available destination and one or more associated route segments selected by the current user.

2. The method of claim 1, wherein the second human emotion metrics are received from at least one source selected from a group comprising 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 of claim 1, wherein the current user operates a navigation-enabled computing device selected from a group comprising an on-board vehicle navigation system, a portable navigation system, a route and destination planning and navigation application operational on a computing device and a client device communicatively connected to a directions server.

4. The method of claim 1, further comprising updating the indicator of acceptability or unacceptability of the available destination and one or more associated route segments based on a received change in the third human emotion metrics.

5. The method of claim 1, wherein a fourth human emotion metrics based on at least one of a destination and route segments meeting a predetermined similarity threshold, associated with at least one of the “

best predictor”

users, are used when at least one of the “

best predictor”

users has not recently been to the available destination and traveled the one or more associated route segments.

6. The method of claim 1, further comprising:

filtering the second group of “

best predictor”

users based on matching a first set of plans and objectives associated with the current user to a second set of plans and objectives associated with the second group of “

best predictor”

users.

7. The method of claim 6, wherein the first and second set of plans and objectives are generated from a group comprising a social media server, manual entry of plans and objectives, calendar entries and diary entries.

8. A computer program product for enhanced route and destination planning and navigation, the computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising;

program instructions to create a reference table of a plurality of recently traveled route segments and destinations, and a first human emotion metrics corresponding to each of the plurality of recently traveled route segments and destinations, associated with a current user;

program instructions to receive a second human emotion metrics for each user of a first group of users who have also recently traveled the route segments and destinations associated with the reference table;

program instructions to filter the first group of users to generate a second group of “

best predictor”

users based on at least one of a predetermined threshold of similarities and a predetermined threshold of differences between the first human emotion metrics associated with the current user and each of the second human emotion metrics associated with each user of the first group of users; and

program instructions to generate an indicator of acceptability or unacceptability of an available destination and one or more associated route segments based on a correlation between a third human emotion metrics, associated with the second group of “

best predictor”

users, and an emotion objective for the available destination and one or more associated route segments selected by the current user.

9. The computer program product of claim 8, wherein the second human emotion metrics are received from at least one source selected from a group comprising 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.

10. The computer program product of claim 8, wherein the current user operates a navigation-enabled computing device selected from a group comprising an on-board vehicle navigation system, a portable navigation system, a route and destination planning and navigation application operational on a computing device and a client device communicatively connected to a directions server.

11. The computer program product of claim 8, further comprising updating the indicator of acceptability or unacceptability of the available destination and one or more associated route segments based on a received change in the third human emotion metrics.

12. The computer program product of claim 8, wherein a fourth human emotion metrics based on at least one of a destination and route segments meeting a predetermined similarity threshold, associated with at least one of the “

best predictor”

users, are used when at least one of the “

best predictor”

users has not recently been to the available destination and traveled the one or more associated route segments.

13. The computer program product of claim 8, wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to filter the second group of “

best predictor”

users based on matching a first set of plans and objectives associated with the current user to a second set of plans and objectives associated with the second group of “

best predictor”

users.

14. The computer program product of claim 13, wherein the first and second set of plans and objectives are generated from a group comprising a social media server, manual entry of plans and objectives, calendar entries and diary entries.

15. A computer system for enhanced route and destination planning and navigation, the computer system comprising:

one or more computer processors;

one or more computer readable storage media;

program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising;

program instructions to create a reference table of a plurality of recently traveled route segments and destinations, and a first human emotion metrics corresponding to each of the plurality of recently traveled route segments and destinations, associated with a current user;

program instructions to receive a second human emotion metrics for each user of a first group of users who have also recently traveled the route segments and destinations associated with the reference table;

program instructions to filter the first group of users to generate a second group of “

best predictor”

users based on at least one of a predetermined threshold of similarities and a predetermined threshold of differences between the first human emotion metrics associated with the current user and each of the second human emotion metrics associated with each user of the first group of users; and

program instructions to generate an indicator of acceptability or unacceptability of an available destination and one or more associated route segments based on a correlation between a third human emotion metrics, associated with the second group of “

best predictor”

users, and an emotion objective for the available destination and one or more associated route segments selected by the current user.

16. The computer system of claim 15, wherein the second human emotion metrics are received from at least one source selected from a group comprising 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.

17. The computer system of claim 15, wherein the current user operates a navigation-enabled computing device selected from a group comprising an on-board vehicle navigation system, a portable navigation system, a route and destination planning and navigation application operational on a computing device and a client device communicatively connected to a directions server.

18. The computer system of claim 15, further comprising updating the indicator of acceptability or unacceptability of the available destination and one or more associated route segments based on a received change in the third human emotion metrics.

19. The computer system of claim 15, wherein a fourth human emotion metrics based on at least one of a destination and route segments meeting a predetermined similarity threshold, associated with at least one of the “

best predictor”

users, are used when at least one of the “

best predictor”

users has not recently been to the available destination and traveled the one or more associated route segments.

20. The computer system of claim 15, wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to filter the second group of “

best predictor”

users based on matching a first set of plans and objectives associated with the current user to a second set of plans and objectives associated with the second group of “

best predictor”

users.