Method and system for rating media and events in media based on physiological data

• US 8,782,681 B2
• Filed: 05/17/2007
• Issued: 07/15/2014
• Est. Priority Date: 03/08/2007
• Status: Active Grant

• Current Assignee: Nielsen Consumer LLC (Nielsen Holdings plc)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Lee, Hans C., Hong, Timmie T., Williams, William H., Fettiplace, Michael R.
• Primary Examiner(s): Pendleton, Brian T
• Assistant Examiner(s): OKEKE, ONYEDIKA C
• Application Number:
  US11/804,555
• Publication Number:
  US 20080222671A1
• Time in Patent Office: 2,616 Days
• Field of Search: 434236-238, 705 2- 10, 705/12
• US Class Current: 725/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: H04H 60/31 Arrangements for monitoring the use made of the broadcast services
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/37 for identifying segments of broadcast information, e.g. scenes or extracting programme ID
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04H 60/61 Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

Various embodiments of the present invention enable a bottom up analysis approach that derives physiological responses from measured physiological data of viewers of a media, and calculates scores of instances of an event type based on the physiological responses. The scores are then aggregated to rate the event type in addition to scoring the individual event instances. The approach can also form an overall rating of the media by aggregating the event ratings of set of event types within the media.

Claims

1. A method comprising:

analyzing physiological data from a plurality of viewers exposed to media to define a plurality of events in the media and to derive a plurality of physiological response dimensions from the physiological data for the plurality events;

calculating a first score for a first event using at least two of the plurality of physiological response dimensions, the first score calculated by weighting a first physiological response dimension with a first weight;

calculating a second score for a second event using at least two of the plurality of physiological response dimensions, the second score calculated by weighting a second physiological response dimension with a second weight, different than the first weight, a value of the first weight and a value of the second weight being determined based on the type of event; and

creating a rating for the media based on an aggregate of the plurality of scores for the plurality of events.

2. A method comprising:

analyzing physiological data from a plurality of viewers exposed to media to define a plurality of events in the media and to derive a plurality of physiological response dimensions from the physiological data for the plurality events;

calculating a first score for a first event using at least two of the plurality of physiological response dimensions, the first score calculated by weighting a first physiological response dimension with a first weight;

calculating a second score for a second event using at least two of the plurality of physiological response dimensions, the second score calculated by weighting a second physiological response dimension with a second weight, different than the first weight, a value of the first weight and a value of the second weight being determined based on the type of physiological response dimension, a valence physiological response dimension being weighted more than a thought physiological response dimension; and

creating a rating for the media based on an aggregate of the plurality of scores for the plurality of events.

3. A method comprising:

analyzing physiological data from a plurality of viewers exposed to media to define a plurality of events in the media and to derive a plurality of physiological response dimensions from the physiological data for the plurality events;

calculating a first score for a first event using at least two of the plurality of physiological response dimensions;

calculating a second score for a second event using at least two of the plurality of physiological response dimensions;

calculating a plurality of additional scores, wherein the total number of scores calculated for the media equals the product of (1) a total number of viewers, (2) a total number of events defined by the processor, (3) a total number of physiological dimensions used by the processor, and (4) a total number of mathematical operations used by the processor; and

creating a rating for the media based on an aggregate of the plurality of scores for the plurality of events.