[picture made by Ben Heine]

Program

Main workshop proceedings: aum-proceedings.pdf. The workshop will take place on Friday, July 15th in the morning.

time	presentation
09:30-09:45	Welcome and Introduction
09:45-10:10	Semantically Enriched Machine Learning Approach to Filter YouTube Comments for Socially Augmented User Models Ahmad Ammari, Vania Dimitrova and Dimoklis Despotakis
10:10-10:35	The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use Sandro Rodriguez Garzon and Mark Poguntke
10:35-11:00	A Semantic Approach to Extract Individual Viewpoints from User Comments on an Activity Dimoklis Despotakis, Lydia Lau and Vania Dimitrova
11:00-11:30	coffee break
11:30-11:45	Towards a Digital Learner Identity Adriana Berlanga and Peter Sloep
11:45-12:00	Core Aspects of Affective Metacognitive User Models Adam Moore, Victoria Macarthur and Owen Conlan
12:00-12:15	Extraction of Professional Interests from Social Web Profiles Fabian Abel, Eelco Herder and Daniel Krause
12:15-12:30	Recommender Systems and the Social Web Amit Tiroshi, Tsvi Kuflik, Judy Kay and Bob Kummerfeld
12:30-13:00	Discussion and Wrap-Up

About

The digital world, i.e. our interaction with computer systems, becomes more and more connected with the physical world, i.e. our real-world activities and experiences. This changes the way we use technologies and opens up new opportunities for personalization and adaptation. People blog, post, chat, comment, tweet about things that matter to them: what they had for dinner, what their job activities were, what they thought about a particular television broadcast, et cetera. People share content about their activities, e.g. pictures taken at a concert, videos of business meetings, reports on business trips, personal stories. This abundant digital information stream has become an important backchannel in our daily lives. We constantly create digital traces about our experiences, which can be invaluable source for personalization.

The time is ripe for developing new adaptation paradigms that exploit digital traces to extend users' personalized experience by connecting the digital, social and physical worlds. Hence, traditional adaptation mechanisms (such as feedback, help, guidance) can be extended to become more effective by taking into account not only the user's experience in the digital world (i.e. the conventional user modeling paradigm), but also relevant experience (of this user or of similar users) in the physical world. The latter approach, which is the focus of this workshop, represents an emerging research strand whereby user models are augmented with real world knowledge to enhance adaptation and personalization.

Digital traces can be attributed to more than one individual, e.g. a circle of friends, a scientific community or even a whole population can be characterized by topics they tweet about, or things they comment about. Furthermore, events, e.g. conferences, local or global disasters, political debates, can be modeled by the streams of digital traces generated around these events (e.g. pictures, comments, discussions and reactions). Technological advancements, such as data/text mining, information extraction, opinion mining, social signal processing, interactive story telling, intelligent media annotation, semantic alignment, media aggregation and retrieval, make it now possible to automate the processing of digital traces to enrich system's understanding about users' experiences in the physical world. This technological development brings new opportunities to the user modeling community, and at the same time, opens up new technological, social, and ethical challenges.

Topics

The AUM workshop aims to create a forum for academic and industrial researchers and practitioners to discuss augmented user modeling from three angles:

• Modeling: methods and techniques for analyzing digital traces to capture, represent and connect user experiences:
  • What sources of digital traces can be used and are there any social and ethical constraints?
  • What aspects of user experience are captured in different digital traces and what techniques can be used to analyze digital traces?
  • How can digital traces be processed, connected, and aggregated to provide useful information for modeling users and real-world activities/events?
  • To what extent do these models represent what people, groups and events 'really' are in the physical world, e.g. do they conform to models and theories from social science?
• Alignment: methods and techniques for augmenting user models by aligning digital and real-world experiences:
  • How can digital traces be connected and represented to augment existing user models and to create holistic models of users, events, objects and groups?
  • How can parts of these holistic models be identified that are relevant to a certain user context - physical or digital?
  • How can different perspectives on activities and events be catered for and should they be aggregated in augmented user models?
• Application: personalization and adaptation approaches and application areas which can benefit from augmented user models:
  • How can adaptation and personalization approaches benefit from augmented user models?
  • What are the potential application domains (e.g. adaptive simulators, personalized virtual museums, personalized media retrieval, personalized information portals, personal assistants) and how can augmented user modeling improve the user experience in these domains?
  • Which types of personalization, recommendation and information filtering are possible and desirable for different applications or different real-world events (e.g. entertainment activities, job tasks, breaking news)?

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Paper Submissions

All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop.

We welcome the following types of contributions.

• Short (up to 6 pages) and full (up to 12 pages) research papers will be reviewed by at least two independent referees.
• Demo papers (system demonstrations) and position statements should not exceed 3 pages.

All submissions must be written in English and must be formatted according to the information for LNCS authors: Information for LNCS Authors. Please submit your contributions electronically in PDF format at

http://www.easychair.org/conferences/?conf=aum2011

The workshop proceedings will (most likely) be published as a volume at CEUR Workshop Proceedings.

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Program Committee

• Ahmad Ammari
• Kalina Bontcheva
• Federica Cena
• Ilknur Celik
• Owen Conlan
• Pasquale De Meo
• Claudia Hauff
• Dominikus Heckmann
• Laura Hollink
• Judy Kay
• Alfred Kobsa
• Tobias Ley
• Stefanie Lindstaedt
• Dhaval Thakker
• Irene Pollach
• Vincent Wade
• Michael Yudelson
• Ingrid Zukerman