METHOD AND SYSTEM FOR CREATING A DYNAMIC AND AUTOMATED TESTING OF USER RESPONSE

• US 20090030762A1
• Filed: 07/25/2008
• Published: 01/29/2009
• Est. Priority Date: 07/26/2007
• Status: Abandoned Application

• Current Assignee: Nielsen Company (US) LLC (RR Donnelley & Sons Company)
• Original Assignee: Nielsen Company (US) LLC (RR Donnelley & Sons Company)
• Inventors: Hong, Timmie T., Williams, William H., Lee, Hans C.
• Application Number:
  US12/180,510
• Publication Number:
  US 20090030762A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/063118 Staff planning in a project environment
• CPC Class Codes: G06Q 10/1097 Task assignment
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

The present invention enables large scale media testing by human testers, where each tester may see multiple pertinent media instances during a single testing session and choose the optimal overall pairings between the testers and the media instances to minimize the number of testers needed for each testing project. By increasing the number of pertinent media views produced by each tester during each testing session, the approach increases the efficiency of media testing and reduces testing costs and time.

Claims

1. A system to support large scale media testing by human testers, comprising:

a test scheduler operable to choose and schedule a plurality of testers for a plurality of media instances in a testing project;

a priority score calculator operable to calculate a priority score for each of the plurality of media instances as being viewed by one of the plurality of testers;

a playlist creator operable to create for a specific tester a playlist of media instances that have the highest priority scores for the specific tester to watch during a testing session;

a tester database operable to store metadata pertinent to each of the plurality of testers; and

a media database operable to store metadata pertinent to each of the plurality of media instances and/or test data recorded from viewing of the plurality of media instances by the plurality of testers.

2. The system of claim 1, wherein:

each of the plurality of media instances is a TV commercial, a printed media, or a web site.

3. The system of claim 1, wherein:

the test scheduler is operable to;

retrieve pertinent data of the plurality of testers from the tester database;

order the plurality of testers based on their priority scores; and

schedule the plurality of testers in their ranked order to maximize the amount of test data to be captured from the testers.

4. The system of claim 1, wherein:

the test scheduler is operable to choose the plurality of testers based on the amount of pertinent test data the plurality of testers can generate for the plurality of media instances.

5. The system of claim 4, wherein:

the pertinent data is a set of metrics needed to make conclusions about the plurality of media instances and/or their priorities to be tested.

6. The system of claim 1, wherein:

the test scheduler is operable to predict which of the plurality of media instances should be viewed in the future by one of the plurality of testers.

7. The system of claim 1, wherein:

the priority score calculator is further operable to calculate an overall priority of the media instances on the playlist of the tester.

8. The system of claim 1, wherein:

the priority score calculator is further operable to calculate the priority score of the media instance to be tested based on pertinent data about the tester and the media instance.

9. The system of claim 1, wherein:

the playlist creator is further operable to choose the media instances in the playlist in such a way that creates a natural viewing experience for the tester.

10. The system of claim 1, wherein:

the playlist creator is further operable to choose the media instances in the playlist based on a set of heuristics and/or filtering rules.

11. The system of claim 1, wherein:

the metadata pertinent to each of the plurality of testers includes one or more of;

age, gender, income, race, geographic location, buying habits, schooling, job, children, and any other pertinent data of the tester.

12. The system of claim 1, wherein:

the metadata pertinent to each of the plurality of media instances includes one or more of;

production company, brand, product name, category, year produced, and target demographic of the media instance.

13. The system of claim 1, further comprising:

a test administrator operable to perform one or more of;

selecting the plurality of testers;

checking the plurality of testers in and creating a playlist for them,

calculating which of the plurality of testers to schedule during the testing session;

running the testing session; and

recording automatically physiological and/or survey data from the plurality of testers during the testing session.

14. A method to support large scale media testing by human testers, comprising:

maintaining pertinent information of a plurality of testers and/or a plurality of media instances to be tested by the testers;

selecting a set of the plurality of testers to test a pertinent set of the plurality of media instances during a single testing session based on the information on the plurality of testers and the plurality of media instances;

creating a customized playlist of media instances for each of the plurality of testers to watch and/or interact with during the testing session to maximize the pertinent test data provided from each of the plurality of testers;

recording pertinent test data before, during, and after the tester interacts with the media instances in the playlist; and

aggregating and storing the test data automatically for viewing and/or processing.

15. A method to support large scale media testing during a testing session, comprising:

calculating an optimal playlist for a tester once the tester arrives for the testing session;

retrieving media instances in the playlist from a media database and send it to a testing facility;

placing one or more physiological sensors on the tester once the playlist of media instances is available;

testing the media instances in the playlist with the tester; and

recording test data by the tester to the playlist of media instances before, during, and after the testing session.

16. The method of claim 15, wherein:

the one or more physiological sensors can be an integrated headset.

17. The method of claim 15, further comprising:

recording both physiological and survey data of the tester; and

comparing and correlating the physiological and survey data against each other.

18. The method of claim 15, further comprising:

transmitting, storing, and processing the test data at a centralized location different from the location of the testing facility.

19. A machine readable medium having instructions stored thereon that when executed cause a system to:

maintain pertinent information of a plurality of testers and/or a plurality of media instances to be tested by the testers;

select a set of the plurality of testers to test a pertinent set of the plurality of media instances during a single testing session based on the information on the plurality of testers and the plurality of media instances;

create a customized playlist of media instances for each of the plurality of testers to watch and/or interact with during the testing session to maximize the pertinent test data provided from each of the plurality of testers;

record pertinent test data before, during, and after the tester interacts with the media instances in the playlist; and

aggregate and store the test data automatically for viewing and/or processing.

20. A system to support large scale media testing during a testing session, comprising:

means for calculating an optimal playlist for a tester once the tester arrives for the testing session;

means for retrieving media instances in the playlist from a media database and send it to a testing facility;

means for placing one or more physiological sensors on the tester once the playlist of media instances is available;

means for testing the media instances in the playlist with the tester; and

means for recording test data by the tester to the playlist of media instances before, during, and after the testing session.