WO2013162420A2 - Procédé de suivi des informations sur les préférences d'utilisateurs basé sur l'analyse de la perception par ceux-ci d'un contenu (et variantes) - Google Patents

Procédé de suivi des informations sur les préférences d'utilisateurs basé sur l'analyse de la perception par ceux-ci d'un contenu (et variantes) Download PDF

Info

Publication number
WO2013162420A2
WO2013162420A2 PCT/RU2013/000318 RU2013000318W WO2013162420A2 WO 2013162420 A2 WO2013162420 A2 WO 2013162420A2 RU 2013000318 W RU2013000318 W RU 2013000318W WO 2013162420 A2 WO2013162420 A2 WO 2013162420A2
Authority
WO
WIPO (PCT)
Prior art keywords
user
content
server
information
emotional
Prior art date
Application number
PCT/RU2013/000318
Other languages
English (en)
Russian (ru)
Other versions
WO2013162420A3 (fr
Inventor
Александр Константинович ГЛАСМАН
Роман Александрович ЗЕЛОВ
Original Assignee
Glasman Aleksandr Konstantinovich
Zelov Roman Aleksandrovich
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Glasman Aleksandr Konstantinovich, Zelov Roman Aleksandrovich filed Critical Glasman Aleksandr Konstantinovich
Publication of WO2013162420A2 publication Critical patent/WO2013162420A2/fr
Publication of WO2013162420A3 publication Critical patent/WO2013162420A3/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation

Definitions

  • the group of inventions relates to information technology and can be used to monitor information about user preferences based on an analysis of their perception of content. There are two options that can be conditionally divided into:
  • content refers to any content perceived by a person.
  • Content can be distributed through a specific medium, for example, the Internet or television.
  • the proposed method does not depend on the specific type of content delivery and can be used with arbitrary content.
  • CMC voting is not tied to a specific type of content and may be used to evaluate events occurring in real life, but, as in the case of Internet voting, the user himself forms an average value judgment in relation to all content.
  • the known methods are not universal. They use the average value judgment of the content consumer in relation to the entire content as a whole. Such an average estimate is rather rough and seriously limits the ability to obtain accurate information about user preferences. In addition, some methods require the installation of additional special equipment or only apply to a specific type of content.
  • the objective of the present invention is to expand the arsenal of tools, namely, the creation of a new method (service) for monitoring information about user preferences based on the analysis of their perception of content that eliminates the above disadvantages.
  • user registration devices and a server are used.
  • the server stores information about users, including identification data, and informational temporary content models.
  • Server software allows you to create information models of user preferences based on processing information about users' ratings of their emotional experiences while consuming content.
  • the user is authorized on the server; providing the server with this user a list of content available for consumption and user selection of content from the list with sending information about the selected content to the server.
  • the user consumes the content with fixing the ratings of his emotional experiences by entering one of the proposed ratings on the recording device. Recorded scores are sent through the recording device to the server.
  • the server aggregates the information received from users about the ratings and forms information models of user preferences based on processing information about users, information time models of content and aggregated information about recorded ratings.
  • the standard implementation of the recording device is an electronic device on which a consumer agent is installed, containing a user interface for entering estimates of emotional experiences of the user.
  • Such a recording device may be a mobile phone on which a consumer agent is installed as an application for the telephone operating system.
  • the recording device may also be a personal computer.
  • a personal computer can be both stationary and mobile (laptop, tablet network computer).
  • personal computers include a smartphone, personal digital assistant (PDA), or an e-book.
  • PDA personal digital assistant
  • a consumer agent may be an application for the operating system of this device.
  • other implementations of a consumer agent for a personal computer are possible.
  • the consumer agent can be implemented as a web application. The user accesses the consumer agent through a web browser.
  • the consumer agent is implemented as the corresponding plugin.
  • the consumer agent is implemented as the corresponding BD-J application.
  • a Blu-ray player with BD-Live support can be a recording device.
  • the consumer agent is implemented as the corresponding BD-J application.
  • the user’s emotional experience scores are captured using manual data entry. But there are also other possible ways of fixing estimates of the emotional experiences of the user. For example, if the electronic device is a device that supports voice recognition, then the user interface uses voice commands to enter estimates of emotional experiences. Similarly, in the case of a device with support for recognizing facial expressions and / or body movements, the user interface uses gesture commands to enter estimates of emotional experiences.
  • the first embodiment of the present invention describes a method for monitoring information about user preferences with the active input of user ratings of their emotional experiences using a consumer agent.
  • the second embodiment of the invention basically repeats the first, it also uses user registration devices and a server.
  • the server stores information about users, including identification data, and informational temporary content models.
  • Server software allows you to create information models of user preferences based on the processing of automatically obtained information about ratings by content users.
  • the user is authorized on the server, the server provides this user with information about the content available for consumption and the user selects the content with the information about the selected content sent to the server.
  • their emotional state is automatically monitored using emotional monitoring means installed on a recording device and the user automatically estimates the emotional experiences of the user from consuming the content. Recorded scores are sent through the recording device to the server.
  • the server aggregates the received information and creates information models of user preferences based on processing user information, informational temporary content models, and aggregated information about recorded ratings.
  • the emotional monitoring tool may be a tool capable of recognizing and analyzing facial expressions and / or body movements of a user.
  • the emotional monitoring tool can be a tool capable of recognizing and analyzing the words spoken by the user and emotionally colored sounds (for example, “Oh!”, “Ah!”, Or “Mmm ...”).
  • the informational temporary content model describes the content and contains the following data structures:
  • Identification data includes: the name of the content, the type of content and the method of its delivery to the consumer, the duration of the content.
  • the identity contains a pointer to the “location” of the content.
  • the index contains the number of the television channel and the planned start time for broadcasting this content on this channel.
  • the index contains the URL (single index of resources on the Internet) of the content.
  • Meta data consists of time zones and meta-information associated with these zones, which is of interest to the provider or producer of the content.
  • An example of such information is semantic meta-information, which gives a semantic description of the corresponding piece of content.
  • Time zones can have both zero and positive duration. In case of zero duration, the time zone is considered as a momentary event within the content.
  • the number of time zones is not limited - they can intersect or overlap each other.
  • Information associated with time zones may be of a different nature; for example, it can be a set of keywords. For example, in the case of a video film, the supplier may mark fragments of the film where hidden advertising is shown.
  • meta-data can be represented as a set of correspondences:
  • the user's attitude to the content is determined by the assessment of the emotional experiences that he experiences during his consumption. Different sets of emotional experience ratings may be used. The choice of a specific set of acceptable estimates depends on various factors, including the type of content consumed, the simplicity and accuracy of comparing the assessment of emotional experiences with user emotions, etc. For example, a set of acceptable assessments of emotional experiences may include: “pleasure”, “desire”, “suffering”, “fear”.
  • User emotions excited at certain points in the content are related to the time of the content. For example, the user's emotional experiences can be assessed as “fear” at the 10th second of a video clip or from the 15th minute to the 16th minute. Thus, the user's attitude to the content can be represented in type of compliance:
  • users consume content they fix estimates of their emotional experiences or there is an automatic hardware-software fixation of estimates of the user's emotional experiences from consuming content and sending the recorded ratings to the server.
  • the user may not be limited in the frequency of entering estimates of emotional experiences that can be recorded when consuming one content.
  • Aggregated ratings (all ratings received and stored on the server) of the user's emotional experiences are tied to time and content. Thanks to this, meta-information of the content and data reflecting the estimates of the emotional experiences of the user have a common reference to the time of the content. This circumstance allows the server to unambiguously for each consumer of content compare his assessment of emotional experiences with meta-information:
  • a database is created on the server to store information about users, including identification data, for example, username and password, information database of temporary content models, aggregated estimates of the user's emotional experiences and information models of user preferences
  • a recording device As a recording device, a mobile phone or smartphone is used. The user installs a consumer agent on it in the form of an application for the device’s operating system.
  • the user When the consumer agent starts, the user is authorized. It consists in sending the corresponding user information to the server. For example, this information may consist of a username and password. Server checks the sent data and sends the result of the check to the recording device.
  • the server determines the list of content available for consumption by this user and sends it to the user's registration device.
  • This list of content is formed on the basis of various information, including current time, restrictions (for example, age prohibitions - “for children under 16”) and user preferences if there is a history of calls, etc.
  • the list of content may include repertoire of films shown in a particular cinema.
  • the list of content available for consumption is displayed as a list on the screen of a mobile phone or smartphone and the user selects content for consumption from it. After selecting the content, the consumer agent displays the content consumption interface on the device screen. This interface allows the user to do the following:
  • this device contains a built-in keyboard, then it can be used in the content consumption interface to select one of the above actions.
  • the set of proposed evaluations of emotional experiences may consist of the following ratings: “pleasure”, “desire”, “suffering”, “fear”.
  • the pressed button "1" may correspond I enter the rating "pleasure”, etc.
  • the device contains a touch screen, then it can also be used in the content consumption interface to select one of the above actions.
  • This consumer agent supports any type of content and is independent of its distribution channel. He is a universal agent.
  • the user selects the appropriate action (“Mark the moment the content consumption starts”) using the content consumption interface.
  • the user agent sends information about previously selected content to the server, which records the start time of consumption of this content by this user.
  • the user During the consumption of content, the user enters one of the proposed ratings on the mobile phone or smartphone using the appropriate action (“Enter estimates of their emotional experiences”) of the content consumption interface.
  • the consumer agent records the entered estimates of the user's emotional experiences and sends them to the server. It is worth noting that the consumer agent can either send each rating received to the server immediately after user input, or accumulate several ratings and then send a group of accumulated ratings to the server.
  • the user selects the appropriate action (“Mark the moment of end of consumption of content") using the interface content consumption.
  • the user agent sends the corresponding information to the server, which records the end time of consumption of this content by this user.
  • the user selected some content and introduced the following assessments of their emotional experiences when consuming this content: “suffering” at 14 seconds of content, “desire” at 62 seconds.
  • the meta-data of the informational time model of this content contains the following markup: the time interval (15s, 20s.) Corresponds to the keyword (meta-information) “smoking”, and the time interval (53s, 67s.) Corresponds to the keyword “Eiffel Tower”.
  • the server receives the following elements of the information model of user preferences related to this user: (meta-information “smoking” -> assessment of emotional experiences “Suffering”), (meta-information “Eiffel Tower” - ”assessment of emotional experiences“ desire ”).
  • the example as a whole repeats the previous one.
  • the difference lies in the use of another recording device.
  • a recording device a digital television receiver or digital set-top box with support for Internet services and widgets. This device is also used to play content.
  • the corresponding TV widget will be the consumer agent. It is worth mentioning that such a consumer agent is integrated. In contrast to the universal agent from Example 1, it integrates with the content reproduction tool and therefore depends on the content and its distribution channel. Thanks to closer integration with content when using such an agent, there is no need to select content - it will be selected automatically. On the other hand, for the same reason, the agent is not applicable to another type of content.
  • Other examples of an integrated agent are a plug-in for a streaming video player, a BD-J application, etc.
  • a digital television receiver remote control is used to control the user agent and enter data. It is used similarly to the built-in keyboard of the device from Example 1 (the button is the “emotional feelings assessment” button): pressing a button on the remote control corresponds to entering the corresponding emotional experience rating from the remote control.
  • An example illustrates a second embodiment of the invention (with automatic monitoring of information about user preferences using emotional monitoring tools).
  • Example 3 repeats basically Example 1.
  • a Microsoft Xbox 360 game console with a connected Microsoft Kinect touch device which is equipped with depth sensors, a digital video camera, and a microphone, is used (see Xbox3 + Kinect, http: //www.xbox.com/kinect).
  • the emotional monitoring tool is implemented as an application for the Microsoft Xbox 360. Monitoring the emotional state of the user is carried out on the basis of data received from the Microsoft Kinect touch device aimed at the consumer content. For example, a user's smile, fixed and recognized as an emotion, can mean his pleasure in consuming content. As a result, estimates of emotional experiences of the user are automatically received and recorded, which are sent to the server for further construction (similar to example 1) of the information model of user preferences.
  • the Microsoft Kinect touch device contains a microphone, a means of emotional monitoring capable of recognizing and analyzing words spoken by the user and emotionally colored sounds.
  • the Microsoft Xbox 360 game console with a connected Microsoft Kinect touch device can be used as a recording device with support for voice or gesture commands for entering assessments of emotional experiences.
  • a Blu-ray player supporting BD-Live a personal computer, including a desktop computer, or a laptop, or a tablet network computer, or a smartphone, or a personal digital assistant (PDA), or an e-book.
  • a personal computer including a desktop computer, or a laptop, or a tablet network computer, or a smartphone, or a personal digital assistant (PDA), or an e-book.
  • PDA personal digital assistant
  • Information models of user preferences can be used to obtain various information, for example, information on the attitude of a particular user to smoking or information on the attitude of a certain group of users (for example, men with higher education, 35-50 years old) to products of any brand.
  • the proposed method both in the first and in the second embodiment, performs a deeper analysis of user preferences based on detailed multi-level assessments of users' perception of content.
  • it is not tied to a specific type of content and can be used with arbitrary content.
  • the method does not require specially designed equipment and can be used with existing everyday user devices.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

Dans deux modes de réalisation, l'invention concerne les technologies de l'information et peut s'utiliser pour effectuer le suivi des informations sur les préférences d'utilisateurs basé sur l'analyse de la perception par ceux-ci d'un contenu. Dans un premier mode de réalisation, l'utilisateur est autorisé au niveau du serveur ; une liste de contenus disponibles pour consommation est livrée a cet utilisateur ; la sélection d'un contenu par l'utilisateur dans laide liste et l'envoi des informations sur le contenu choisi au serveur sont opérés par l'utilisateur ; l'utilisateur consomme un contenu, et ses sensations émotionnelles sont fixées au moyen d'un dispositif d'enregistrement (téléphone, téléviseur, ordinateur personnel) à l'aide d'une des évaluations proposées ; ces évaluations sont envoyées au serveur par un dispositif d'enregistrement ; l'agrégation par le serveur des informations portant sur les évaluations reçues ; le serveur forme des modèles informationnels des préférences de l'utilisateur sur la base du traitement des informations sur les utilisateurs des modèles formulés préalablement portant sur les informations temporelles en rapport avec le contenu et les informations agrégées sur les évaluations fixées. Dans un deuxième mode de réalisation, pendant la consommation par un utilisateur d'un contenu on effectue le suivi automatique de son état émotionnel au moyen d'un appareil de suivi émotionnel (dispositif sensoriel Microsoft Kinect,), monté sur le dispositif d'enregistrement, et une fixation automatique des évaluations des sensations émotionnelles de l'utilisateur dues à la consommation du contenu.
PCT/RU2013/000318 2012-04-25 2013-04-15 Procédé de suivi des informations sur les préférences d'utilisateurs basé sur l'analyse de la perception par ceux-ci d'un contenu (et variantes) WO2013162420A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
RU2012118526/08A RU2495485C1 (ru) 2012-04-25 2012-04-25 Способ мониторинга информации о предпочтениях пользователей на основе анализа восприятия ими контента (варианты)
RU2012118526 2012-04-25

Publications (2)

Publication Number Publication Date
WO2013162420A2 true WO2013162420A2 (fr) 2013-10-31
WO2013162420A3 WO2013162420A3 (fr) 2014-03-13

Family

ID=49303119

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/RU2013/000318 WO2013162420A2 (fr) 2012-04-25 2013-04-15 Procédé de suivi des informations sur les préférences d'utilisateurs basé sur l'analyse de la perception par ceux-ci d'un contenu (et variantes)

Country Status (2)

Country Link
RU (1) RU2495485C1 (fr)
WO (1) WO2013162420A2 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2704484C1 (ru) * 2018-12-26 2019-10-29 Кирилл Владимирович Мальцев Способ определения предпочтений медиапользователей

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20020017878A (ko) * 2000-08-29 2002-03-07 이진호 개인 인터넷 방송국 자동구축 시스템
US20030093790A1 (en) * 2000-03-28 2003-05-15 Logan James D. Audio and video program recording, editing and playback systems using metadata
US20050022239A1 (en) * 2001-12-13 2005-01-27 Meuleman Petrus Gerardus Recommending media content on a media system
US20100161825A1 (en) * 2008-12-22 2010-06-24 David Randall Ronca On-device multiplexing of streaming media content
US20110150427A1 (en) * 2009-12-18 2011-06-23 Michinari Kohno Content providing server, content reproducing apparatus, content providing method, content reproducing method, program, and content providing system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1911289B1 (fr) * 2005-07-21 2019-12-04 S.I.Sv.El. Societa' Italiana Per Lo Sviluppo Dell'elettronica S.P.A. Dispositif coopératif destiné à permettre aux utilisateurs de choisir un contenu coopératif, et procédé associé
US7770136B2 (en) * 2007-01-24 2010-08-03 Microsoft Corporation Gesture recognition interactive feedback
US20100146559A1 (en) * 2008-12-10 2010-06-10 Qualcom Incorporated Feedback based broadcast scheduling

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030093790A1 (en) * 2000-03-28 2003-05-15 Logan James D. Audio and video program recording, editing and playback systems using metadata
KR20020017878A (ko) * 2000-08-29 2002-03-07 이진호 개인 인터넷 방송국 자동구축 시스템
US20050022239A1 (en) * 2001-12-13 2005-01-27 Meuleman Petrus Gerardus Recommending media content on a media system
US20100161825A1 (en) * 2008-12-22 2010-06-24 David Randall Ronca On-device multiplexing of streaming media content
US20110150427A1 (en) * 2009-12-18 2011-06-23 Michinari Kohno Content providing server, content reproducing apparatus, content providing method, content reproducing method, program, and content providing system

Also Published As

Publication number Publication date
RU2495485C1 (ru) 2013-10-10
WO2013162420A3 (fr) 2014-03-13

Similar Documents

Publication Publication Date Title
US20220101387A1 (en) Advertisements Blended with User's Digital Content
US20210105535A1 (en) Control method of playing content and content playing apparatus performing the same
US10945043B2 (en) Methods and apparatus to create a panel of media device users
ES2747599T3 (es) Procedimientos y sistemas para mostrar información contextualmente relevante en relación con un recurso de medios
US8799005B2 (en) Systems and methods for capturing event feedback
US8726304B2 (en) Time varying evaluation of multimedia content
KR101829782B1 (ko) 소셜 네트워킹을 통한 텔레비전 및 비디오 프로그래밍 공유
US20140164476A1 (en) Apparatus and method for providing a virtual assistant
US20160165306A1 (en) Apparatus and method for confirming content viewing
US20160182955A1 (en) Methods and systems for recommending media assets
KR20150005574A (ko) 수동으로 감지된 시청자 반응에 기초하여 미디어 프로그램의 프리젠팅의 제어
CN109241301A (zh) 资源推荐方法及装置
US20240048810A1 (en) Search and recommendation of media assets through conversational use of catchphrases
RU2495485C1 (ru) Способ мониторинга информации о предпочтениях пользователей на основе анализа восприятия ими контента (варианты)
JP6220420B2 (ja) サウンドを利用したソーシャルネットワークサービス提供装置、その方法、及びプログラム
Vettoretto Reimagining Disruptive Technologies: The User Experience of Netflix and Pokémon GO in Australia
KR20140032684A (ko) 메타 정보를 활용한 컨텐츠 제공 방법
US11570523B1 (en) Systems and methods to enhance interactive program watching
US20230336844A1 (en) System and methods to enhance interactive program watching
JP2018041152A (ja) ユーザ投稿情報配信システム、端末装置、ユーザ投稿情報配信サーバ、ユーザ投稿情報配信システムの動作方法、ユーザ投稿情報端末装置の動作方法、ユーザ投稿情報配信サーバの動作方法、及びプログラム
KR20150111524A (ko) 광고 제공 장치 및 방법

Legal Events

Date Code Title Description
122 Ep: pct application non-entry in european phase

Ref document number: 13782454

Country of ref document: EP

Kind code of ref document: A2