SYSTEMS AND METHODS FOR DETECTING USER ENGAGEMENT IN CONTEXT USING PHYSIOLOGICAL AND BEHAVIORAL MEASUREMENT

• US 20150121246A1
• Filed: 10/24/2014
• Published: 04/30/2015
• Est. Priority Date: 10/25/2013
• Status: Abandoned Application

• Current Assignee: Charles Stark Draper Laboratory Incorporated
• Original Assignee: Charles Stark Draper Laboratory Incorporated
• Inventors: Poore, Joshua, Schwartz, Jana, Webb, Andrea, Cunha, Meredith
• Application Number:
  US14/523,366
• Publication Number:
  US 20150121246A1
• Time in Patent Office: Days
• US Class Current: 715/745
• CPC Class Codes: A63F 13/46 Computing the game score
• CPC Class Codes: A63F 13/60 Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
• CPC Class Codes: A63F 13/67 adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
• CPC Class Codes: A63F 13/798 for assessing skills or for ranking players, e.g. for generating a hall of fame computing the game score A63F13/46
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G09B 5/065 Combinations of audio and video presentations, e.g. videotapes, videodiscs, television systems
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F
• CPC Class Codes: G09B 9/00 Simulators for teaching or training purposes for the use of weapons F41; computing aspects G06; protocols for games, networked simulations or virtual reality H04L67/131

Abstract

The present disclosure is directed to an engagement-adaptive system. The system includes a content delivery module configured to deliver content to a user, a context logger configured to associate events in the delivered content with temporal locations in a first time-series. The system also includes an indicator measurement module configured to measure at least one engagement indicator and associate the measurements with temporal locations in a second time-series. The system includes an engagement analysis module configured to generate at least one engagement value based on a calculated relationship between the first and second time-series and an adaptation module configured to receive the at least one engagement value and modify execution of computer executable instructions by a processor based on the received engagement value.

Claims

1. An engagement-adaptive system comprising:

a content delivery module configured to deliver content to a user

a context logger configured to associate events in the delivered content with temporal locations in a first time-series;

an indicator measurement module configured to measure at least one engagement indicator during the delivery of content to the user and associate the measurements with a temporal location in a second time-series;

an engagement analysis module configured to generate at least one engagement value based on a calculated relationship between the first and the second time-series; and

an adaptation module configured to;

receive the at least one engagement value; and

modify execution of computer executable instructions by a processor based on the received engagement value.

2. The system of claim 1, wherein modifying execution of computer executable instructions comprises selecting content to be delivered to the user.

3. The system of claim 2, further comprising delivering the selected content to the user.

4. The system of claim 1, wherein measuring at least one engagement indicator comprises measuring at least one of:

eye movement of the user, time taken by the user to respond to a stimulus, behavioral changes of the user, selections or choices made by the user, physiological attributes, or physiological changes of the user.

5. The system of claim 1, wherein the relationship between the first and second time-series is a dependency between first time-series and the second time-series, or the co-variation between the first time-series and the second time-series calculated by the function,

6. The system of claim 1, wherein the content is one of either audio-visual media or the output of an interactive program.

7. The system of claim 1, wherein the content delivery module is included in either a personal computing device or a mobile device.

8. The system of claim 1, wherein

delivering content to the user comprises delivering a set of educational concepts to the user;

and

modifying execution of computer executable instructions comprises selection of educational concepts to be delivered based on higher or lower engagement values associated with educational concepts previously delivered to the user.

9. The system of claim 1, wherein

delivering content to the user comprises presenting a first task to the user;

and

modifying execution of computer executable instructions comprises selection of a second task to be presented to the user based on higher or lower engagement values associated with the first or second task.

10. A method for engagement-based adaptation comprising:

delivering content to a user;

associating events in the delivered content with temporal locations in a first time-series;

measuring at least one engagement indicator of the user;

associating the measurements of engagement indicators with temporal locations in a second time-series;

generating at least one engagement value based on a calculated relationship between the first and second time-series; and

modifying the execution of computer executable instructions based on the at least one engagement value.

11. The method of claim 10, wherein modifying the execution of computer executable instructions further comprises selecting content to be delivered to the user.

12. The method of claim 11, further comprising delivering the selected content to the user.

13. The method of claim 10, wherein measuring at least one engagement indicator comprises measuring at least one of:

eye movement of the user, time taken by the user to respond to a stimulus, temperature of the user, behavioral changes of the user, or physiological changes of the user.

14. The method of claim 10, wherein the relationship between the first and second time-series is a dependency between first time-series and the second time-series, or the co-variation between the first time-series and the second time-series calculated by the function,

15. The method of claim 10, wherein the content is one of either audio-visual media or the output of an interactive program.

16. The method of claim 10, wherein the content is delivered to the user by either a personal computing device or a mobile device.

17. The method of claim 10, wherein

delivering content to the user comprises delivering a set of educational concepts to the user;

and

modifying execution of computer executable instructions comprises selection of educational concepts to be delivered to the user based on higher or lower engagement values associated with educational concepts previously delivered to the user.

18. The method of claim 10, wherein

delivering content to the user comprises presenting a first task to the user;

and

modifying execution of computer executable instructions comprises selection of a second task to be presented to the user based on higher or lower engagement values associated with the first or second task.

19. Computer readable media storing processor executable instructions which when carried out by one or more processors, cause the processors to:

receive at least one measurement of at least one engagement indicator of a user associated with the delivery of content to the user;

associate events in the delivered content with temporal locations in a first time-series;

associate the measurements of engagement indicators with temporal locations in a second time-series;

generate at least one engagement value based on a calculated relationship between the first time-series and the second time-series,

wherein the relationship between the first and second time-series is a dependency between first time-series and the second time-series, or the co-variation between the first time-series and the second time-series calculated by the function,

20. The computer readable media of claim 19, wherein the instructions further cause the one or more processors to deliver content to a user.