Method and system for predicting audience viewing behavior

Patent metadata

Field	Value
Publication number	US-2016255384-A1
Application number	US-201615147308-A
Country	US
Kind code	A1
Filing date	May 5, 2016
Priority date	Sep 5, 2006
Publication date	Sep 1, 2016
Grant date	—

Abstract

The present invention is directed to a method and system for predicting the behavior of an audience based on the biologically based responses of the audience to a presentation that provides a sensory stimulating experience and determining a measure of the level and pattern of engagement of that audience to the presentation. In particular, the invention is directed to a method and system for predicting whether an audience is likely to view a presentation in its entirety. In addition, the present invention may be used to determine the point at which an audience is likely to change their attention to an alternative sensory stimulating experience including fast forwarding through recorded content, changing the channel or leaving the room when viewing live content, or otherwise redirecting their engagement from the sensory stimulating experience.

First claim

What is claimed is:

1 . An apparatus comprising:
a biometric sensor to measure a biometric response of an audience member during presentation of media; an engagement processor to:
generate an engagement curve for the audience member based on the biometric response;
identify an interval of the engagement curve having ascending engagement;
determine an area above a threshold value and below the engagement curve for the interval; and
determine a positive buildup value for the media base on a ratio of the area to a duration of the media; and
a prediction processor to predict viewership based on the positive buildup value.

2 . The apparatus of claim 1 , wherein the interval of the engagement curve includes an ascending engagement portion and a descending engagement portion.

3 . The apparatus of claim 1 , wherein the engagement processor is to:
determine whether a decrease in engagement during the descending engagement portion is less than a threshold percentage of an increase in engagement during the ascending engagement portion.

4 . The apparatus of claim 3 , wherein the engagement processor is to:
identify the interval as having the ascending engagement portion if the decrease in engagement is less than the threshold percentage of the increase in engagement.

5 . The apparatus of claim 1 , wherein the prediction processor is to rank the media based on a comparison of the positive buildup value to other positive buildup values of other media.

6 . The apparatus of claim 1 , wherein the prediction processor is to determine a likelihood that the audience member will watch the media again in another form.

7 . The apparatus of claim 1 , wherein the prediction processor is to determine a percentile rank for the positive buildup value based on a database of positive buildup values.

8 . The apparatus of claim 1 , wherein the prediction processor is to predict the viewership based on the positive buildup value by determining whether a viewer will watch the entirety of the media when the media is live.

9 . The apparatus of claim 1 further including:
an intensity processor to determine, based on the biometric response, intensity scores for the audience member; and
a synchrony processor to determine synchrony scores based on the biometric response and a biometric response of another audience member, the engagement processor to generate the engagement curve based on the intensity scores and the synchrony scores.

10 . An apparatus comprising:
a biometric sensor to measure a biometric response of an audience member during presentation of media; an engagement processor to:
generate an engagement curve for the audience member based on the biometric response;
identify an interval of the engagement curve having descending engagement;
determine an area below a threshold value and above the engagement curve for the interval; and
determine a negative buildup value for the media base on a ratio of the area to a duration of the media; and
a prediction processor to predict viewership based on the negative buildup value.

11 . The apparatus of claim 10 , wherein the interval of the engagement curve includes a descending engagement portion and an ascending engagement portion.

12 . The apparatus of claim 10 , wherein the engagement processor is to:
determine whether an increase in engagement during the ascending engagement portion is less than a threshold percentage of a decrease in engagement during the descending engagement portion.

13 . The apparatus of claim 12 , wherein the engagement processor is to:
identify the interval as having the descending engagement portion if the increase in engagement is less than the threshold percentage of the decrease in engagement.

14 . The apparatus of claim 10 , wherein the prediction processor is to rank the media based on a comparison of the negative buildup value to other negative buildup values of other media.

15 . The apparatus of claim 10 , wherein the prediction processor is to determine whether a viewer will watch the entirety of the media when the media is previously recorded.

16 . The apparatus of claim 15 , wherein the prediction processor is to determine whether the viewer will watch the entirety of the media by determining a likelihood that the viewer will fast-forward through the media.

17 . The apparatus of claim 10 , wherein the prediction processor is to determine an order to present the media in relation to other media based on the negative buildup value.

18 . The apparatus of claim 10 , wherein the prediction processor is to determine a percentile rank for the negative buildup value based on a database of negative buildup values.

19 . The apparatus of claim 10 further including:
an intensity processor to determine, based on the biometric response, intensity scores for the audience member; and
a synchrony processor to determine synchrony scores based on the biometric response and a biometric response of another audience member, the engagement processor to generate the engagement curve based on the intensity scores and the synchrony scores.

Assignees

• Nielsen Co Us Llc

Inventors

• Marci Carl D
• Levine Brian
• Kothuri Ravi Kanth V
• Siefert Caleb J

Classifications

• A61B5/11

  Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

• A61B5/16

  Devices for psychotechnics (using teaching or educational appliances G09B1/00 - G09B7/00); Testing reaction times {; Devices for evaluating the psychological state} · CPC title

• A61B5/0002

  Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07) · CPC title

• G06Q30/0201

  Market modelling; Market analysis; Collecting market data · CPC title

• H04N21/84

  Generation or processing of descriptive data, e.g. content descriptors {(systems specially adapted for using meta-information in broadcast systems H04H60/73)} · CPC title