Conferenciantes Invitados

Is Personalization All About Technology?
Jack Aaronson jack@jackaaronson.com

CEO - Jack Aaronson Consulting
666 Greenwich Street, Suite 409
10014 New York. NY. USA.

Tlf. 212-691-0833
Resumen: A lot of research and development has pushed the limits of personalization far beyond where they were just a few years ago. Yet the major goals of personalization continue to elude us: serving customers what they want, when they want it. Is all this research being developed with pure science in mind, or do the new technologies actually solve real business needs? In this lecture, Mr. Aaronson will discuss the business needs around personalization. He will explore which technologies have been effective, and which haven't been. He will discuss the importance of mixing technology with smart design to ensure that personalized features are intuitive and easy-to-use. He will also talk about personalization that doesn't require technology.

Why Surf Alone? Exploring the Web with Reconaissance Agents
Henry Lieberman lieber@media.mit.edu

MIT Media Laboratory Boston. USA.

Resumen: In a hypermedia authoring task, an author often wants to set up meaningful connections between different media, such as text and photographs. To facilitate this task, it is helpful to have a software agent dynamically adapt the presentation of a media database to the user's authoring activities, and look for opportunities for annotation and retrieval. However, potential connections are often missed because of differences in vocabulary or semantic connections that are "obvious" to people but that might not be explicit.

ARIA (Annotation and Retrieval Integration Agent) is a software agent that acts an assistant to a user writing e-mail or Web pages. As the user types a story, it does continuous retrieval and ranking on a photo database. It can use descriptions in the story to semi-automatically annotate pictures. To improve the associations beyond simple keyword matching, we use natural language parsing techniques to extract important roles played by text, such as "who, what, where, when". Since many of the photos depict common everyday situations such as weddings or recitals, we use a common sense knowledge base, Open Mind, to fill in semantic gaps that might otherwise prevent successful associations.

Resource-Adaptive Interfaces to Hybrid Navigation Systems
Wolfgang Wahlster wahlster@dfki.de

German Research Center for AI, DFKI GmbH Saarbr?cken. Germany.

Resumen: We present the hybrid navigation systems REAL [1] and SmartKom [2] that com-bine various positioning technologies to determine the user?s location in outdoor and indoor situations and that adapt the multimodal presentation of spatial information to the limited technical resources of various output devices and to the limited cogni-tive resources of the user.
We distinguish three different classes of resource sensitive processes: (a) resource adapted processes, (b) resource adaptive processes and (c) resource adapting proc-esses [1]. Resource adapted processes have been optimized in advance for restricted resources that are well-known and follow regular patterns. The quality of their re-sults remains constant for a given input. In contrast, resource adaptive and resource adapting processes can handle varying resource restrictions. Therefore, their results depend on the available resources during runtime. Resource adaptive processes rely on a single strategy to react to varying resources, whereas resource adapting proc-esses select among a number of strategies on a meta-cognitive level to comply with different resource situations. REAL uses both resource adaptive and resource adapting processes to generate multimodal space descriptions.



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