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WO2006008710A1 - Procede pour affiner une programmation multimedia - Google Patents

Procede pour affiner une programmation multimedia Download PDF

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Publication number
WO2006008710A1
WO2006008710A1 PCT/IB2005/052357 IB2005052357W WO2006008710A1 WO 2006008710 A1 WO2006008710 A1 WO 2006008710A1 IB 2005052357 W IB2005052357 W IB 2005052357W WO 2006008710 A1 WO2006008710 A1 WO 2006008710A1
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WO
WIPO (PCT)
Prior art keywords
application
feedback
content
user
user feedback
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/IB2005/052357
Other languages
English (en)
Inventor
Paul J. Rankin
Robert M. L. Hansteen-Izora
David A. Bell
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips Electronics NV
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 Koninklijke Philips Electronics NV filed Critical Koninklijke Philips Electronics NV
Publication of WO2006008710A1 publication Critical patent/WO2006008710A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data

Definitions

  • the present invention relates to a method for refining media programming content within a system of devices and also to an apparatus therefor.
  • the strength of traditional one-way broadcast is the potential for huge coverage over a known geographic area.
  • Cost to the broadcaster is relatively low per listener/viewer.
  • Cost to the service provider can be low for radio, higher for TV production.
  • Cost to the audience is low for radio, higher for TV (though it becomes cheaper with shared access).
  • Routes to gather user responses are via phone-ins, or SMS/email are not very expensive, but the cost may inhibit participation by poorer audiences.
  • the broadcast systems currently deployed only elicit single answers or votes on an issue. Furthermore using broadcast there is no means to deliver personalised feedback to users on their responses or segmenting or grouping of users according to user wishes.
  • networks allow PC users to communicate over very large geographic areas.
  • Application or content providers are able to receive user feedback.
  • a user can report system and program errors to Microsoft.
  • This reporting system allows Microsoft to track and address operating system, Windows component, and program errors.
  • technical information about the problem is collected and then sent to Microsoft over the Internet.
  • the information Microsoft receives is used by programming groups at Microsoft. If a similar problem has been reported by other people, and more information is available, a link to that information will be provided.
  • the scheme focuses on fixing the reported errors and/or suggesting work-arounds; representing a personalised feedback to users on their responses.
  • An inference is that reported problems are dealt with by personnel at Microsoft, such as working on solutions to errors which are frequently reported. This is a typical example of measures undertaken by software vendors in respect of adaptation of their software for error rectification.
  • a method for refining media programming content within a system of devices comprising: - at a first device: o sending an application to a second device; at the second device: o receiving the application; o executing the application; o obtaining and storing user feedback; said feedback obtained during execution of the application; and o sending the user feedback to the first device; and at the first device : o receiving the user feedback; o analysing the received user feedback; and o automatically adapting the application according to the results of the analysis.
  • an application is automatically adapted according to the results of the analysis of user feedback thereby minimising on-going resource requirement for application editing and/or compilation by the content/service provider. Furthermore, adaptation of the application according to an individual user's feedback can be automatically provided.
  • Iterative refinement of the media programming is provided to a community of users using analyses of their responses to programmed elicitations/queries and/or using their automatically-tracked behaviour when playing the programming. Analysis can be greatly speeded when possible by encouraging the user to use specific responses, such as certain key-presses or words from a limited vocabulary.
  • responses can be elicited from the audience on a wide range of topics from local issues such as jobs, crime, water supply.... all the way through to critiques of politics, sports events and latest fashion in humour.
  • the tools provided to undertake analysis of feedback enable the creation of new programming quite readily, for example for distribution as a follow on to a competition or request for comment.
  • Templates for different application types can assist with application creation, setting styles or genres of interaction with which the user becomes familiar, but also preparing styles of the analysis of subsequent feedback.
  • Selection (or creation) of appropriately structured audio assets (prompts/queries) used in content assembly increases the likelihood of responses that can be analysed easily at a later stage.
  • Selection of assets can be aided by appropriate mark-up (description) of the assets.
  • Authoring of an application may automatically create a feedback analysis tool (response structures and associated analysis mechanisms), along with the program's context and knowledge domain/scope to enable easy assimilation of responses.
  • a feedback analysis tool response structures and associated analysis mechanisms
  • One of the results of feedback analysis to a particular program is the potential to create further programs that meet an identified need of the audience, or identify subgroups of the audience with specific interests or needs. For example, the number of users of the application that respond to the application in a particular manner, those users which belong to a particular answer range, or those users which only partially use content items. These subgroups can then be addressed more specifically. As an example, a high incidence of incorrect user responses may indicate that a query was not well worded.
  • Content templates may also inform (or 'template') the likely style of feedback analyses required.
  • an 'interactive radio' template may not track the user's playback behaviour, only gather explicit responses. In that case implicit user behaviour may not be analysed.
  • a census application template may set up a data-mining tool to analyse the statistics that will be gathered.
  • the analysis results are converted into XML-based instructions for the content authoring tool to execute and thereby adapt the application.
  • Another aspect of the invention provides an apparatus comprising processing means operable to: send an application to a second device; receive from the second device user feedback on the application; analyse the received user feedback; and automatically adapt the application according to the results of the analysis.
  • the instructions may be stored on an electronic memory device, hard disk, optical disk or other machine-readable storage medium.
  • the instructions may be downloaded directly to a device via a network connection, or by means of removable media.
  • Figure 2 shows templates and sub-templates for an application
  • Figure 3 shows various degrees of topic refinement making up an application
  • Figure 4 shows automated iterative refinement of content programs and distribution lists
  • Figure 5 shows a schematic of the sequence of preparing interactive, non-linear, two-way audio applications
  • Figure 6 shows a system level view of the authoring tool and interactions between its primary components
  • Figure 7 shows components and processes of the central 'tuning system'
  • Figure 8 shows a Feedback Analysis Tool (FAT) outputting a report file according to the Content Provider's (CP) specifications in spreadsheet format;
  • FAT Feedback Analysis Tool
  • Figure 9 shows applications published to Regional Content Centres (RCC) where editorial control and distribution control is maintained;
  • Figure 10 shows a first example embodiment of the State Health
  • Figure 11 shows a second example embodiment of the State Health Program.
  • a Voices in Your Hand (ViYH) system is used in the following to illustrate the present invention.
  • the system has an infrastructure which is focused upon provision of content and personal communications in an asynchronous manner and includes mechanisms to describe and distribute programming to ViYH users.
  • This programming is primarily aimed at the provision of speech-audio (for social / informational / educational / entertainment purposes) as well as provision of music-audio, but applications can also include textual and graphical content.
  • the applications are structured with mechanisms to elicit responses (such as keypresses) from the user in order to navigate through the application, as well as elicit keypress or speech responses to spoken queries. Therefore, immediate local interactivity is possible on a handset, as well as asynchronous two-way exchanges between users and service providers.
  • CHWs community health workers
  • CHWs community health workers
  • CP/SP's Content Providers / Service Providers
  • CAT/FAT Automatically prepares subsequent training lessons based on user responses to previous lessons.
  • the Content Authoring Tool (CAT) and the Feedback Analysis Tool (FAT) are at the centre of automated iterative refinement of content programs and distribution lists in the present system as shown in
  • SP Service providers
  • Content providers are specialists in one domain, and are able to spend time if needed working with individual users on issues such as health, employment or particular entertainment or lifestyle interests.
  • CP are experienced in formulating applications with appropriate levels and mixtures of informational, educational and entertainment material to keep users motivated to use and benefit from the system. Possibly taking input from a SP, a CP will use a CAT to produce an application, creating a FAT set-up in the process.
  • RCC Regional Content Centres
  • Figure 1 is a system level view of elements of the invention and the messages passing between the elements.
  • Figure 5 illustrates schematically the sequence of preparing interactive, non-linear, two-way audio applications for the present system.
  • the final application program consists of program objects, audio and textual assets.
  • Figure 6 is a system level view of the authoring tool and interactions between its primary components
  • FIG. 7 illustrates components and processes of the central 'tuning system'.
  • the CAT facilitates the assemblage of content programs for distribution to users.
  • a number of CAT features also directly support the iterative refinement and tuning process.
  • Asset, Query, and Program marking a.
  • the CAT enables the 'Structuring and Markup of Resources.
  • Audio assets, mark-up language queries, and individual content programs may be labelled and categorized in order to facilitate efficient automated access and assemblage of resources;
  • the CAT creates the formal program structure of each content program. This program structure provides a schema for later analysis by the FAT. The CAT also produces additional information on appropriate tools, their parameters, contextual or domain information to assist in subsequent analysis, referenced to the same schema;
  • the CAT can specify both the structure and form of content, the recipients of content (users) for later distribution by the RCC, and the recipients of content responses for analysis in the FAT.
  • the CAT can receive instructions on distribution (program recipients) and content structure from either the CP or the FAT.
  • the CAT can automatically implement XML based distribution list and/or content assembly instructions that are received from the FAT;
  • the CP can play an editorial review role in ensuring appropriate distribution lists and content structures are prepared for output.
  • the CAT provides the CP with direct editorial control of content programs and recipients of content programs.
  • the FAT allows the CP to be included to moderate the automated process by manually checking both the automated
  • the CAT is the Authoring Tool for the assemblage of content resources into program structures.
  • the CAT automatically assembles content programs using the library of marked-up assets (shared resources) as instructed by the FAT.
  • the FAT gathers program queries and responses into a discrete dataset and performs various analysis functions that both make inferences on the responses to program content and the users as a data-mining tool, but also prescribe the iterative refinement of subsequent content programs or distribution lists.
  • the FAT outputs a report file according to the CP's specifications in spreadsheet format.
  • the spreadsheet report may for example also include:
  • audio responses can be linked to the original audio file using a URL for the location of the file, enabling the SP to launch and listen to the audio file.
  • MS Excel or another spreadsheet tool the CP/SP analyses the report according to their specific needs.
  • the flexibility and functionality of a spreadsheet program deepens the CP/SPs understanding of the analyses of application responses. For example, they can create charts or graphs of application responses and the demographics of respondents. This makes extracting the trends, opinions, and perspectives contained in the data more accessible.
  • the State Health Program uses the present system for preparation and distribution of training content to locally based Community Health Workers (CHWs).
  • CHWs Community Health Workers
  • the Community Health Workers need relevant training material based on the local priorities and needs.
  • CP/SP's at the State Health program prepare an exploratory polling application in the CAT for distribution to CHWs throughout the state.
  • the polling application queries CHWs on the training priorities for their region. For example this may include Aids, children's health, immunization procedures, sanitation, and conducting home visits.
  • the FAT receives the polling results of this survey.
  • customized distribution lists for training content are automatically prepared and sent to the CAT for execution.
  • State CP/SPs can maintain editorial control of the process in order to ensure that content distribution aligns with regional policies and procedures. This embodiment is now described with reference to Figure 10.
  • the State CP/SPs author a polling application in the CAT specifically designed to extract health content distribution priorities based on local needs. A library of such polling applications may be created for ongoing evaluation of content distribution practices and their effectiveness.
  • the State CP/SPs also establish response analysis policies in the FAT. These policies establish the criteria for customized distribution list creation. E.g. those requesting Aids training receive lessoni: Aids from the content library. These policies may increase in sophistication. For example, the State CP/SPs might require that those requesting Aids training first complete the entire set of lessons on sexually Transmitted Diseases.
  • the polling application is distributed to local SPs. Local SPs complete the polling application and send the results back to the State CP/SP for analysis.
  • Polling Results Analysis a. The structure and format of polling application queries are extracted from the shared library of resources (content library).
  • Poll responses are received from users via the RCC interface to the ViYH system and its end-users.
  • the FAT analyses the poll results by integrating information from these two sources.
  • the FAT performs analysis functions based on policies set by the CP/SP in step 1.
  • Distribution Instruction Preparation a.
  • the FAT converts the analysis results into XML-based instructions for the CAT to execute. These instructions provide the CAT with the form and structure of customized distribution lists.
  • the CP/SP is informed (e.g. via a popup screen upon opening the application for instance) that customized distribution list instructions are ready for execution by the CAT.
  • CP/SP Editorial Control a.
  • the CP/SP may optionally edit the CAT instructions prior to execution.
  • the CAT creates a distribution list based on FAT instructions.
  • 7. 'Tuned' Content Distribution a. New content is distributed to users based on the 'tuned' distribution list. (As examples, further training material on may sent to those users who failed to pass a test, or more specialised material on a specific health concern sent to those users who indicated that concern as being high on their local priorities)
  • the CP/SP marks up and catalogues these assets or programs prior to engaging the Adaptive Content Authoring process.
  • FAT Criteria Setting a. The CP/SP establishes response analysis policies for the FAT. These policies establish the criteria for customized content creation in the CAT.
  • Training Application Distribution a. The learning application is distributed to users. Users complete the training application and send the results back to the CP/SP for analysis.
  • Training Application Analysis a. The structure and format of training application queries are extracted from the CAT. Application responses are received from users via the RCC. The FAT analyses the training application results by integrating information from these two sources. b. The FAT performs analysis functions based on policies set by the CP/SP in step 2
  • CP/SP Editorial Control (optional) a.
  • the CP/SP may manually edit the CAT instructions automatically-proposed by the FAT prior to their execution.
  • Customized Content is distributed to users.
  • a schema of elements and attributes are used to describe the media objects used in the creation of an application, as well as the responses received from end users. Schema present relevant attributes of the content assets to enable rapid selection of candidate assets when building a content application.
  • the schema for each asset specifies the makeup of response(s) that the user provides to it. This schema then contributes to application authoring. Furthermore, when the CAT builds an asset into an application, the schema for responses to that asset are also built into the feedback analysis tool, for later analysis of responses to that asset by the service provider.
  • templates for different application types assist with application creation, setting styles or genres of interaction with which the user becomes familiar. Templates also assist with preparing styles of the analysis of subsequent feedback. Selection (or creation) of appropriately structured audio assets (prompts/queries) used in content assembly increases the likelihood of responses that can be analysed easily at a later stage. Selection of assets is aided by appropriate mark-up (description) of the assets. Templates are available for different application genres, for example:
  • assets are grouped according to categories (e.g. health subdomains), or style (e.g. open-ended or closed question).
  • the content provider also aids the subsequent response-analysis task by marking objects in the application with the appropriate analytic tools or parameter settings that should be used on the user responses.
  • the provider sets up 'user stereotypes' or answer ranges to aid in the categorization of user responses. These ranges may for example identify people inferred to be at risk for a certain disease.
  • query objects identify the parameters of the responses that can be acquired from the user.
  • the CAT maps these parameters and their unique application-object identifiers to the FAT for analysing the responses to that application.
  • Query objects can demand several types of response from the user:
  • Some topic areas or interaction invitations may be more effective than others in engaging the audience in the subject domain, whether it be health advice, news or musical entertainment.
  • a first application exposes a certain area of content of particular relevance that can then be followed up by a second application exploring that topic in more depth. This process can proceed automatically or be under editorial control, for example as a result of user- votes on different topic areas or the popularity of certain application objects for user playback.
  • varying degrees of refinement can be made to the content broadcast by the present system.
  • the highest level is the creation of a new channel: addressing issues and providing information to a segment of a poor community that is not achieved elsewhere by other means.
  • material on a range of topics is organised hierarchically. The top level is included in a first application broadcast. Then, according to the measured popularity or interest aroused by different areas in the application, a follow-up application broadcast including the next level of detail on those topics is broadcast.
  • the audience feedback may indicate that a whole branch is effective or not effective, so branches can be grown or deleted in the next iteration.
  • such 'application refinement' is automated by counting the number of users who play an item all the way through, or play it back on several occasions. If the number of positive responses exceeds a threshold, then the creation of a programme that elaborates upon that item is automatic. The responses from the target audience may show divisions in the interests/opinions, and divisions in the needs for further programming.
  • the "learning system" creates new distribution lists necessary for subsequent, more specialised follow-up programming which will be relevant to distinct subgroups of the audience.
  • a content provider sends an application to a user device.
  • the application is executed and feedback from the user is obtained and stored. This feedback is sent back to the content provider which then analyses the feedback and automatically adapts the application according to the results of the analysis.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Library & Information Science (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne un procédé pour affiner un contenu de programmation multimédia comprenant une programmation de divertissement, des applications pédagogiques ou analogue. Un fournisseur de contenus envoie une application à un dispositif utilisateur. Au niveau de ce dispositif utilisateur, l'application est exécutée et une contre-réaction de l'utilisateur est obtenue et stockée. Cette contre-réaction est retournée au fournisseur de contenus qui analyse ensuite ladite contre-réaction et adapte automatiquement l'application en fonction des résultats de l'analyse.
PCT/IB2005/052357 2004-07-16 2005-07-15 Procede pour affiner une programmation multimedia Ceased WO2006008710A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US58845904P 2004-07-16 2004-07-16
US60/588,459 2004-07-16

Publications (1)

Publication Number Publication Date
WO2006008710A1 true WO2006008710A1 (fr) 2006-01-26

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PCT/IB2005/052357 Ceased WO2006008710A1 (fr) 2004-07-16 2005-07-15 Procede pour affiner une programmation multimedia

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WO (1) WO2006008710A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6557042B1 (en) * 1999-03-19 2003-04-29 Microsoft Corporation Multimedia summary generation employing user feedback
GB2395813A (en) * 2002-11-27 2004-06-02 Hewlett Packard Development Co Obtaining user feedback on displayed items

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6557042B1 (en) * 1999-03-19 2003-04-29 Microsoft Corporation Multimedia summary generation employing user feedback
GB2395813A (en) * 2002-11-27 2004-06-02 Hewlett Packard Development Co Obtaining user feedback on displayed items

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
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FALK A ET AL: "PAWS: AN AGENT FOR WWW-RETRIEVAL AND FILTERING", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON THE PRACTICAL APPLICATION OF INTELLIGENT AGENTS AND MULTI-AGENT TECHNOLOGY, 22 April 1996 (1996-04-22), pages 169 - 179, XP002037595 *
M.M. LEHMAN, J.F. RAMIL: "Evolution in software and related areas", PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON PRINCIPLES OF SOFTWARE EVOLUTION, 11 September 2001 (2001-09-11), Vienna, Austria, pages 1 - 16, XP002348594 *
MOBASHER B ET AL: "Automatic personalization based on web usage mining", COMMUNICATIONS OF THE ASSOCIATION FOR COMPUTING MACHINERY, ASSOCIATION FOR COMPUTING MACHINERY. NEW YORK, US, vol. 43, no. 8, August 2000 (2000-08-01), pages 142 - 151, XP002210034, ISSN: 0001-0782 *
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