EmotionSpot: Monitoring of user preferences and viewing habits

Author

Glasman, Alexander ; Zelov, Roman ; Glasman, Konstantin

Author_Institution

EmotionSpot Inc., St. Petersburg, Russia

fYear

2012

fDate

3-5 Sept. 2012

Firstpage

52

Lastpage

55

Abstract

New method for monitoring of user preferences and viewing habits is suggested. It is based on registration of user emotional estimates during content consumption and creation of corresponding user emotional profiles. This method is applicable to any type of content. In contrast to people meters approach it provides “quality” evaluation and analysis of content consumption. Moreover it does not require additional equipment and can be used with existing consumer devices.

Keywords

behavioural sciences computing; client-server systems; content management; emotion recognition; meta data; social sciences computing; EmotionSpot; client-server system; consumer device; content consumption analysis; quality evaluation; semantic metadata; user emotional estimate registration; user emotional profile; user preference monitoring; viewing habit monitoring; Monitoring; Motion pictures; Semantics; Servers; TV; User interfaces; YouTube; content consumption; emotional profile; emotions; emotionspot; monitoring preferences; social; viewing habits;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics - Berlin (ICCE-Berlin), 2012 IEEE International Conference on

Conference_Location

Berlin

ISSN

2166-6814

Print_ISBN

978-1-4673-1546-3

Type

conf

DOI

10.1109/ICCE-Berlin.2012.6336481

Filename

6336481