MOOD-BASED ANALYTICS FOR COLLABORATIVE PLANNING OF A GROUP TRAVEL ITINERARY

• US 20150106285A1
• Filed: 10/16/2013
• Published: 04/16/2015
• Est. Priority Date: 10/16/2013
• Status: Abandoned Application

• Current Assignee: Lenovo Enterprise Solutions (Singapore) Pte., Ltd. (Lenovo Group Ltd.)
• Original Assignee: Lenovo Enterprise Solutions (Singapore) Pte., Ltd. (Lenovo Group Ltd.)
• Inventors: Diamond, Susan L., Hom, Peter B., Hulgundi, Raghunandan, Li, Jenny S., Yuan, Jing-Na, Chu, Jean, Fang, William L.
• Application Number:
  US14/055,488
• Publication Number:
  US 20150106285A1
• Time in Patent Office: Days
• US Class Current: 705/319
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/14 Travel agencies

Abstract

A method for providing mood-based analytics for collaborative travel planning for a group containing one or more group member includes receiving a priority, a target happiness index, and mood-based input for each group member. A target group happiness index is calculated based on an aggregate of the target happiness indexes weighted by the priority for each group member. A current group happiness index is calculated based on an aggregate of the mood-based input weighted by the priority for each group member. The activity preferences for the group are determined based on the aggregate of the mood-based input weighted by the priority for each group member. External environmental data that influences the current group happiness and the activity preferences is collected. A group itinerary based on the current group happiness index, the activity preferences for the group, and the external environmental data is generated to meet the target group happiness index.

Claims

1. A computer-implemented method for providing mood-based analytics in collaborative travel planning for a group containing one or more group members, comprising:

receiving, by a processing device, a priority for each group member;

receiving a target happiness index for each group member;

receiving mood-based input for each group member;

calculating a target group happiness index based on an aggregate of the target happiness indexes weighted by the priority for each group member;

calculating a current group happiness index based on an aggregate of the mood-based input weighted by the priority for each group member;

determining activity preferences for the group based on the aggregate of the mood-based input weighted by the priority for each group member;

collecting external environmental data that influences the current group happiness and the activity preferences; and

generating a group itinerary based on the current group happiness index, the activity preferences for the group, and the external environmental data that meets the target group happiness index.

2. The computer-implemented method of claim 1, wherein the receiving of mood-based input further comprises:

receiving a current mood input from each group member prior to or during a trip; and

receiving an activity experience input from each group member prior to or during the trip.

3. The computer-implemented method of claim 1, wherein the priority for each group member is assigned according to a time of day.

4. The computer-implemented method of claim 1, wherein the generating of the group itinerary further comprises:

mapping the aggregate of the mood-based input into suggested activities for a trip;

computing routes to the suggested activities of the trip; and

recommending travel routes that meet the target group happiness index.

5. The computer-implemented method of claim 1, wherein the method further comprises:

receiving mood-based input from a group member in real-time during a trip; and

adjusting the group itinerary dynamically to meet the target group happiness index.

6. The computer-implemented method of claim 1, wherein the external environmental data comprises a selected one or more from traffic conditions, weather conditions, social media alerts, and culture information.

7. A computer system for providing mood-based analytics in collaborative travel planning for a group containing one or more group members, comprising:

a memory having computer readable computer instructions; and

a processor for executing the computer readable instructions to perform a method comprising;

receiving a priority for each group member;

receiving a target happiness index for each group member;

receiving mood-based input for each group member;

calculating a target group happiness index based on an aggregate of the target happiness indexes weighted by the priority for each group member;

calculating a current group happiness index based on an aggregate of the mood-based input weighted by the priority for each group member;

determining activity preferences for the group based on the aggregate of the mood-based input weighted by the priority for each group member;

collecting external environmental data that influences the current group happiness and the activity preferences; and

generating a group itinerary based on the current group happiness index, the activity preferences for the group, and the external environmental data that meets the target group happiness index.

8. The computer system of claim 7, wherein the receiving of mood-based input further comprises:

receiving a current mood input from each group member prior to or during a trip; and

receiving an activity experience input from each group member prior to or during the trip.

9. The computer system of claim 7, wherein the priority for each group member is assigned according to a time of day.

10. The computer system of claim 7, wherein the generating of the group itinerary further comprises:

mapping the aggregate of the mood-based input into suggested activities for a trip;

computing routes to the suggested activities of the trip; and

recommending travel routes that meet the target group happiness index.

11. The computer system of claim 7, wherein the method further comprises:

receiving mood-based input from a group member in real-time during a trip; and

adjusting the group itinerary dynamically to meet the target group happiness index.

12. The computer system of claim 7, wherein the external environmental data comprises a selected one or more from traffic conditions, weather conditions, social media alerts, and culture information.

13. A computer program product for providing mood-based analytics in collaborative travel planning for a group containing one or more group members, the computer program product comprising:

a computer readable storage medium having program code embodied therewith, the program code executable by a processor for;

receiving a priority for each group member;

receiving a target happiness index for each group member;

receiving mood-based input for each group member;

calculating a target group happiness index based on an aggregate of the target happiness indexes weighted by the priority for each group member;

calculating a current group happiness index based on an aggregate of the mood-based input weighted by the priority for each group member;

determining activity preferences for the group based on the aggregate of the mood-based input weighted by the priority for each group member;

collecting external environmental data that influences the current group happiness and the activity preferences; and

generating a group itinerary based on the current group happiness index, the activity preferences for the group, and the external environmental data that meets the target group happiness index.

14. The computer program product of claim 13, wherein the receiving of mood-based input further comprises:

receiving a current mood input from each group member prior to or during a trip; and

receiving an activity experience input from each group member prior to or during the trip.

15. The computer program product of claim 13, wherein the priority for each group member is assigned according to a time of day.

16. The computer program product of claim 13, wherein the generating of the group itinerary further comprises:

mapping the aggregate of the mood-based input into suggested activities for a trip;

computing routes to the suggested activities of the trip; and

recommending travel routes that meet the target group happiness index.

17. The computer program product of claim 13, wherein the method further comprises:

receiving mood-based input from a group member in real-time during a trip; and

adjusting the group itinerary dynamically to meet the target group happiness index.

18. The computer program product of claim 13, wherein the external environmental data comprises a selected one or more from traffic conditions, weather conditions, social media alerts, and culture information.