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CONTINUOUS AUTOMATED FEEDBACK, USER ENGAGEMENT AND EVALUATION SYSTEM FOR LIVE TV CONTENT

IP.com Disclosure Number: IPCOM000249081D
Publication Date: 2017-Feb-02
Document File: 5 page(s) / 285K

Publishing Venue

The IP.com Prior Art Database

Abstract

A system and a method are disclosed to collect live feedback from a viewer of

entertainment. The entertainment system may be a TV screen with an associated set-top-box

(STB). The system is configured to monitor who is in front of the TV (or in the room), how they

react to current content as played on the TV, and their engagement level. The system monitors

viewer characteristics and behavior using 24-GHz Doppler radar as well as Bluetooth Low

Energy (BLE) and WiFi located on the STB. The engagement metrics including spatial

movement, motion, number of heartbeats etc. are used to identify if the viewer is excited, dull,

passive, engaged or sleeping. The program and engagement information is post-processed in the

Cloud to analyze the content timestamp with engagement metrics as defined above. Viewer

interest is collected unobtrusively and used to provide feedback to content creators in a

quantifiable manner.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 50% of the total text.

CONTINUOUS AUTOMATED FEEDBACK, USER ENGAGEMENT AND

EVALUATION SYSTEM FOR LIVE TV CONTENT

ABSTRACT

A system and a method are disclosed to collect live feedback from a viewer of

entertainment. The entertainment system may be a TV screen with an associated set-top-box

(STB). The system is configured to monitor who is in front of the TV (or in the room), how they

react to current content as played on the TV, and their engagement level. The system monitors

viewer characteristics and behavior using 24-GHz Doppler radar as well as Bluetooth Low

Energy (BLE) and WiFi located on the STB. The engagement metrics including spatial

movement, motion, number of heartbeats etc. are used to identify if the viewer is excited, dull,

passive, engaged or sleeping. The program and engagement information is post-processed in the

Cloud to analyze the content timestamp with engagement metrics as defined above. Viewer

interest is collected unobtrusively and used to provide feedback to content creators in a

quantifiable manner.

BACKGROUND

When watching content on TV or a big screen, user engagement, involvement,

participation in current content is not available on a continuous basis to evaluate which part of

the content had the user most engaged. For example- watching a movie for 2 hours in front of a

TV from a channel, today one can't tell which set of movie scenes got a customer to stop in his

tracks (literally stop walking and watch/hear), set their heart racing (check heartbeat), content

they could not move away from watching (literally in front of TV not moving and continuously

engaged - spellbound) etc. This may be applied to advertisements as well. There is no system to

continually collect feedback for these micro and macro moments that are relevant to TV

engagement when in front of a set top box (STB)/TV viewing content. When feedback is asked

of a user, the user provides the overall review rating or feedback for content in a macro block of

time (like the 1/2hour show episode, or a 2 hour movie review or sometimes for a 30 second ad

clip) - the block of time is different for each content and there is no automated continuous

analysis/feedback.

DESCRIPTION

A system and method are disclosed to collect live feedback from a viewer of

entertainment. The entertainment system may be a TV screen with an associated STB, as

illustrated in FIG. 1. The system is configured to monitor who is in front of the TV (or in the

room), how they react to current content as played on TV, and their engagement level. As shown

in FIG. 1, the system is provided with 24-GHz Doppler radar as well as Bluetooth Low Energy

(BLE) and WiFi on the STB. The user may be an adult (with phone or other connected device), a

kid or a dog.

FIG. 1: System for automated feedback of user engagement for live TV

The method works as illustrated in FIG. 2. The user watching TV is identified with

spatial location. BLE/WiFi located in the STB based on user traffic, MAC address, sign-in,

device identification etc....