Participant grouping for enhanced interactive experience

Patent metadata

Field	Value
Publication number	US-10216827-B2
Application number	US-201514940892-A
Country	US
Kind code	B2
Filing date	Nov 13, 2015
Priority date	Apr 29, 2011
Publication date	Feb 26, 2019
Grant date	Feb 26, 2019

Abstract

Representative embodiments of a method for grouping participants in an activity include the steps of: (i) defining a grouping policy; (ii) storing, in a database, participant records that include a participant identifier, a characteristic associated with the participant, and/or an identifier for a participant's handheld device; (iii) defining groupings based on the policy and characteristics of the participants relating to the policy and to the activity; and (iv) communicating the groupings to the handheld devices to establish the groups.

First claim

What is claimed is:

1. A method of grouping participants in an activity, the participants each having a handheld device, the method comprising:
determining a value associated with one or more behavioral characteristics associated with the participants, the value of the one or more behavioral characteristics determined from a reaction time to a conceptual question or a percentage of positive feedback from other participants;
receiving one or more statistical models defining a relationship between the value of the one or more behavioral characteristics and conversational productivity between participants in a group of participants associated with a same behavioral characteristic for a different participant in the group of participants;
determining the group of participants, wherein the determined group will generate a productive conversation between the participants based in part on the one or more statistical models; and
transmitting a communication to the handheld device of at least one of the participants in the determined group, wherein the communication includes an identification of another participant in the determined group.

2. The method of claim 1 , wherein the conversational productivity comprises at least one of (i) switching from a wrong answer to a correct answer, (ii) improving the participants' understanding of the correct answer, or (iii) improved understanding of why a wrong answer is wrong.

3. The method of claim 1 , wherein at least one of the one or more statistical models is a coarsened exact matching model.

4. The method of claim 1 , wherein the one or more statistical models define the relationship also based on a performance characteristic or a demographic characteristic.

5. The method of claim 4 , wherein the demographic characteristic comprises a global positioning system, seat numbers assigned by an instructor, or an identified location of one or more participants.

6. The method of claim 1 , wherein the determined group includes potential participants based in part on geographic proximities between the potential participants.

7. The method of claim 1 , wherein the determining the group of participants further comprises computationally estimating a functional relationship of the participants.

8. The method of claim 1 , further comprising:
before transmitting the communication, receiving an identifier for the handheld device and a location of the handheld device from the handheld device.

9. A system for grouping participants in an activity, the participants each having a handheld device, the system comprising:
a memory for storing a participant database of the participants, wherein the participant database includes one or more behavioral characteristics and a value associated with the one or more behavioral characteristics; and
a processor in operative communication with the memory, the processor being configured to:
determine the value associated with the one or more behavioral characteristics associated with the participants, the value of the one or more behavioral characteristics determined from a reaction time to a conceptual question or a percentage of positive feedback from other participants;
receive one or more statistical models defining a relationship between the value of the one or more behavioral characteristics and conversational productivity between participants in a group of participants associated with a same behavioral characteristic for a different participant in the group of participants;
determine a group of participants, wherein the determined group will generate a productive conversation between the participants based in part on the one or more statistical models; and

transmit a communication to the handheld device of at least one of the participants in the determined group, wherein the communication includes an identification of another participant in the determined group.

10. The system of claim 9 , wherein the conversational productivity comprises at least one of (i) switching from a wrong answer to a correct answer, (ii) improving the participants' understanding of the correct answer, or (iii) improved understanding of why a wrong answer is wrong.

11. The system of claim 9 , wherein at least one of the one or more statistical models is a coarsened exact matching model.

12. The system of claim 9 , wherein the one or more statistical models define the relationship also based on a performance characteristic or a demographic characteristic.

13. The system of claim 12 , wherein the demographic characteristic comprises a global positioning system, seat numbers assigned by an instructor, or an identified location of one or more participants.

14. The system of claim 9 , wherein the determined group includes potential participants based in part on geographic proximities between the potential participants.

15. The system of claim 9 , wherein the determining the group of participants further comprises computationally estimating a functional relationship of the participants.

16. The system of claim 9 , the processor further being configured to:
before transmitting the communication, receive an identifier for the handheld device and a location of the handheld device from the handheld device.

17. A non-transitory computer-readable medium embodying information indicative of instructions for causing one or more machines to perform a method comprising:
determining a value associated with one or more behavioral characteristics associated with participants, the value of the one or more behavioral characteristics determined from a reaction time to a conceptual question or a percentage of positive feedback from other participants;
receiving one or more statistical models defining a relationship between the value of the one or more behavioral characteristics and conversational productivity between participants in a group of participants associated with a same behavioral characteristic for a different participant in the group of participants;
determining a group of participants, wherein the determined group will generate a productive conversation between the participants based in part on the one or more statistical models; and
transmitting a communication to a handheld device of at least one of the participants in the determined group, wherein the communication includes an identification of another participant in the determined group.

18. The non-transitory computer-readable medium of claim 17 , wherein the conversational productivity comprises at least one of (i) switching from a wrong answer to a correct answer, (ii) improving the participants'understanding of the correct answer, or (iii) improved understanding of why a wrong answer is wrong.

19. The non-transitory computer-readable medium of claim 17 , wherein at least one of the one or more statistical models is a coarsened exact matching model.

20. The non-transitory computer-readable medium of claim 17 , wherein the one or more statistical models define the relationship also based on a performance characteristic or a demographic characteristic.

Assignees

• Harvard College

Inventors

• King Gary
• Mazur Eric
• Lukoff Brian

Classifications

• H04W4/02 Primary

  Services making use of location information · CPC title

• H04W4/08

  User group management · CPC title

• G06F17/30893

  Physics · mapped topic

• G06F17/30896

  Physics · mapped topic

• G06F17/30876

  Physics · mapped topic