TV'04: the 4th Workshop on Personalization in Future TV - Methods, Technologies, Applications for Personalized TV

in conjunction with Adaptive Hypermedia 2004

Eindhoven, The Netherlands

August 23, 2004

Call for Papers

Workshop Program


Workshop Organizers

Liliana Ardissono
Dipartimento di Informatica
Università di Torino, Italy

Mark Maybury
The MITRE Corporation, USA


Program Committee

Liliana Ardissono
Università di Torino

Patrick Baudisch
Microsoft Research
USA

Michael Bove
Media Lab, MIT
USA

Alfred Kobsa
University of California
USA

Judith Masthoff
University of Brighton, UK
UK

Mark Maybury
The MITRE Corporation
USA

Sean McNee
GroupLens Research Project, University of Minnesota
USA

Barry Smyth
ChangingWorlds Ltd.
Ireland

Mark van Setten
Telematica Institut
The Netherlands

Howard Wactlar
Carnegie Mellon University
USA


Important Dates

May 31, 2004
submission of contributions
June 21, 2004
notification of acceptance
July 8, 2004
submission of final contributions


For more information about the workshop, contact
Liliana Ardissono
Dipartimento di Informatica
Università di Torino
Corso Svizzera 185
I-10149 Torino
Italy
and
Mark Maybury
Information Technology Division
The MITRE Corporation
Bedford, MA 01730
USA

Previous TV workshops


The most relevant outcomes of these workshops are:
  • Special Issue on User Modeling and Personalization for Television. User Modeling and User-Adapted Interaction: The Journal of Personalization Research, Vol. 14, N. 1, 2004 (http://www.di.unito.it/~liliana/UMUAI-TV/)
  • Personalized Digital Television, L. Ardissono, A. Kobsa and M. Maybury editors, in press, Kluwer Academic Publishers

Workshop Program and electronic papers


TV'04: background and motivation


The diffusion of digital TV and the availability of hundreds of TV channels are exciting challenges for the design, development and exploitation of user modeling, personalization and adaptive user interfaces techniques. First of all, personalized Electronic Program Guides (EPGs) are needed to support the TV viewer in the selection of the interesting programs. Second, the presence of set-top boxes running complex programs facilitates the development of user modeling systems that monitor the viewer's behavior each time (s)he watches TV, acquiring long-term user models. At the same time, however, there are important issues to be solved: for example, viewers typically do not watch TV alone; therefore, household models have to be acquired and efficient unobtrusive identification techniques have to be developed to make the explicit identification of viewers unnecessary. Moreover, the viewer's interests have to be acquired without bothering her/him with questions and, as such interests may abruptly change, the system has to promptly react to such changes to provide suitable recommendations. Finally, privacy issues have to be addressed to make such systems acceptable. Another important challenge for digital TV is the development of suitable user interfaces for TV services. For instance, the transition from a passive type of interaction to an active one and the need to use simple remote control devices constrains the types of actions that the TV viewer can perform. Moreover, as the TV is located far away from its viewers, there are special constraints on the layout of the user interfaces. Finally, increasingly sophisticated and interactive games will provide additional challenges. And new forms of interactive television promise to place the viewer in the drivers/design seat.

Call for papers


For this workshop, we will consider contributions devoted to user modeling and user-adaptive systems in the field of Personalized TV available on the Web and on new generation TV-sets. Relevant topics include, but are not limited to:
  • content personalization for personal news and personal channels, TV program recommendation, Electronic Program Guides
  • user-adapted presentation of TV content: adaptation to users with special needs, new browsing paradigms in personalized TV, conversational interfaces for personalized TV
  • community formation and social influences in TV watching behavior
  • peer-to-peer networks for sharing TV and multimedia content
  • automated broadcast video content segmentation, indexing, extraction, summarization, and visualization
  • user models and their management for the realization of personalized TV: individual and group profiles, household models, explicit and unobtrusive user modeling acquisition techniques, bootstrapping issues
  • security and privacy of TV services
  • evaluation of personal TV applications
  • business opportunities: T-commerce, targeted TV advertising
  • advanced processing and tailoring of video and presentations
  • ontologies for television media models and user models
  • new applications such as personalized collections of home videos and T-learning

Workshop format

This workshop is aimed at providing a forum in which researchers from diverse fields such as machine learning, knowledge engineering, psychology, cognitive sciences, adaptive user interfaces, user modeling and business intelligence can examine the personalization aspects of the user interface in interactive TV. All contributions will be made available in a Web site before the main conference, so that participants can read them in advance. Proceedings will also be published as an informal Annex to the main Conference Proceedings.

Submission instructions

The following types of submission are solicited:

  • Long paper submissions, describing substantial contributions of novel ongoing work. Long papers should be at most 10 pages long.
  • Short paper submissions, describing work in progress. These papers should be at most 6 pages long.
  • Demonstration abstracts: software demonstrations are welcome and should be described in a short abstract outlining the key features of the system to be demonstrated. The abstracts should be at most two pages long. Notice that the authors are expected to bring their own equipment for running the systems during the workshop.

All the submissions should be formatted according to the following guidelines: the first page should include the title, author's name(s), affiliation, mailing address, phone number, e-mail, home page URL, and abstract and up to five keywords.
Papers should be prepared as PDF files, written in Times, 11pt and printable on A4 paper or US Letter. If possible, the papers should be formatted according to the guidelines used for the papers of the main conference. Suitable templates (LaTex2e | LaTex | Tex | MS Word (PC) | MS Word (Mac)) can be retrieved from the LNCS Web site at the following URL: http://www.springer.de/comp/lncs/authors.html.