Workshops


Workshop Title Organizers
1 Social Recommender Systems Ido Guy, Li Chen, Michelle X. Zhou
2 Intelligent Visual Interfaces for Text Analysis Shixia Liu, Michelle X. Zhou, Huamin Qu, Giuseppe Carenini
3 2nd International Workshop on Multimodal Interfaces for Automotive Applications (MIAA) Christian Müller, Tim Schwartz
4 User Data Interoperability in the Social Web (UDISW) Geert-Jan Houben, Erwin Leonardi, Fabian Abel, Eelco Herder, Nicola Henze
5 Visual Interfaces to the Social and Semantic Web (VISSW 2010) Siegfried Handschuh, Tom Heath, VinhTuan Thai, Ian Dickinson, Lora Aroyo, Valentina Presutti
6 Workshop on Eye Gaze in Intelligent Human Machine Interaction Elisabeth André, Joyce Chai
7 Semantic Models for Adaptive Interactive Systems (SEMAIS) Alan Dix, Tim Hussein, Stephan Lukosch, Jürgen Ziegler
8 Second International Workshop on Human Factors and Computational Models in Negotiation (HuCom2010 @ IUI) Pascal Wiggers, Alina Pommeranz, Pearl Pu



Workshop 1: Social Recommender Systems

Social media sites have become tremendously popular in recent years. Prominent examples include photo and video sharing sites such as Flickr and YouTube, blog and wiki systems such as Blogger and Wikipedia, social tagging sites such as Delicious, social network sites (SNSs), such as MySpace and Facebook, and micro-blogging sites such as Twitter. Millions of users are active daily in these sites, creating rich information online that has not been available before. Yet, the abundance and popularity of social media sites floods users with huge volumes of information and hence poses a great challenge in terms of information overload.

Social Recommender Systems (SRSs) aim to alleviate information overload over social media users by presenting the most attractive and relevant content, often using personalization techniques adapted for the specific user. SRSs also aim at increasing adoption, engagement, and participation of new and existing users of social media sites. In addition to recommending content to consume, new types of recommendations emerge within social media, such as of people and communities to connect to, to follow, or to join.

This workshop desires to bring together researchers and practitioners around the emerging topic of recommender systems within social media in order to: (1) share research and techniques used to develop effective social media recommenders, from algorithms, through user interfaces, to evaluation (2) identify next key challenges in the area, and (3) identify new cross-topic collaboration opportunities.

Topics of interests include, but are not limited to:

Social recommender technologies and applications

User interfaces in social recommender systems (SRSs)

Evaluation

Organizers:

Ido Guy
IBM Haifa Research Lab
Mt. Carmel, Haifa 31905, Israel
ido at il.ibm.com
http://domino.research.ibm.com/comm/research_people.nsf/pages/ido.index.html

Li Chen
Department of Computer Science
Hong Kong Baptist University
224 Waterloo Road, Kowloon Tong, Hong Kong
lichen at comp.hkbu.edu.hk
http://www.comp.hkbu.edu.hk/~lichen/

Michelle X. Zhou
IBM China Research Lab
Bld 19, Shangdi Zhong Guan Cun Software Park, Beijing, China
mxzhou at cn.ibm.com
http://www.research.ibm.com/RIA/People/Zhou/Zhou.htm

Workshop website: http://www.comp.hkbu.edu.hk/~lichen/srs2010/

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Workshop 2: Intelligent Visual Interfaces for Text Analysis

Most of the world's information is contained in the form of text documents. To help people cope with the ever increasing amounts of text information, researchers have developed a wide array of text analysis technologies. However, consuming the complex analysis results of these technologies may be non-trivial, especially for average users who are not computer experts, let alone text analytics experts. Furthermore, such results may be inaccurate or contain ambiguous or even misleading information. To help users better interpret text analysis results and discover opportunities to improve the results, researchers have been integrating text analytics technologies with interactive visualization technologies.

Such efforts roughly fall into two categories. On the one hand, researchers from the text analytics community use basic visualizations (e.g., bar chart, pie chart) to display their final analysis results. On the other hand, researchers from the information visualization community focus on illustrating simple analysis results (e.g., tf–idf measure of keywords). There are a few efforts that tightly integrate state-of-the-art text analytics with interactive visualization to maximize the value of both.

The purpose of this workshop is to bring together researchers and practitioners from both text analytics and interactive visualization communities to explore, define, and develop intelligent visual interfaces that help enhance the consumption and quality of complex text analysis results. Ideally, the developed technologies or tools can: 1) better convey and explain complex text analytic results and make them consumable; 2) compensate for the deficiencies of current text analysis technology; 3) help discover opportunities for improving text analytics to support an iterative, progressive analytic process.

Objectives:

This workshop aims to achieve two main objectives: 1) Identify key research issues and challenges in designing and developing intelligent visual interface for text analysis; and 2) Establish and grow a community that consists of researchers and practitioners from multiple disciplines (e.g., text analytics and visualization) to tackle the difficult problems of text analytics and initiate proper collaboration among different teams.

Organizers:

Shixia Liu
IBM China Research Lab
3/F,Building 19 Zhongguancun Software Park
8 Dongbeiwang West Road,Haidian District
Beijing 100193, PRC CHINA
liusx at cn.ibm.com

Michelle X. Zhou
IBM China Research Lab
3/F,Building 19 Zhongguancun Software Park
8 Dongbeiwang West Road,Haidian District
Beijing 100193, PRC CHINA
mxzhou at cn.ibm.com

Huamin Qu
Department of Computer Science and Engineering
Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong
huamin at cse.ust.hk

Giuseppe Carenini
Department of Computer Science, #129
University of British Columbia
2366 Main Mall
Vancouver, B.C. Canada V6T 1Z4
carenini at cs.ubc.ca

Workshop website: http://people.cs.ubc.ca/~carenini/IUI10-IVITAworkshop/index.htm

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Workshop 3: 2nd International Workshop on Multimodal Interfaces for Automotive Applications (MIAA)

Multimodal interaction constitutes a key technology for intelligent user interfaces (IUI). The possibility to control devices and applications in a natural way enables an easier access to complex functionality as well as infotainment contents.

In recent years, the complexity of on-board and accessory devices, infotainment services, and driver assistance systems in cars has experienced an enormous increase. This development emphasizes the need for new concepts for advanced human-machine interfaces that support the seamless, intuitive and efficient use of this large variety of devices and services.

A modern car already implements hundreds of functions that a user can interact with, in some cases deployed over almost a hundred embedded platforms. These numbers will even grow for the next generation of high-class vehicles. The growing number of electronic devices integrated into cars also affects the creation of the user interface.

The built-in electronic control units are able to provide valuable context information, which needs to be considered for an intelligent management of multimodal interaction inside the car. Sensor information like for example vehicle speed, location (using GPS plus gyroscope and accelerometer for greater reliability), outside temperature, etc., allows to draw conclusions about the current driving situation. Furthermore, dialog management needs to keep track of state changes of operating elements like control switches. Access to vehicle functions is also essential in order to initiate desired operations.

The goal of this workshop is to present, discuss, and outline context-aware multimodal interfaces for drivers and car passengers.

The ultimate goal of this workshop is to unify innovative concepts that aim towards a new dimension of ease of use.

Organizers:

Christian Müller

Tim Schwartz

Workshop website: http://automotive.dfki.de/index.php/.../miaa-workshop-iui

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Workshop 4: User Data Interoperability in the Social Web (UDISW)

Nowadays, people leave their marks at a multitude of applications distributed across the Web: They share their bookmarks in Delicious, fill in profiles at social networking services such as Facebook and Orkut, browse and buy products on Amazon, search with Google and Yahoo and interact with diverse other sites for information and services. This distributed and heterogeneous corpus of user data is a valuable source of information for systems that aim for personalization and user adaptation. With the advent of Web 2.0, Semantic Web as well as initiatives such as Linked Data initiative and the Data Portability project, there is hope to bridge the interoperability gap so that the Web itself can serve as a homogeneous knowledge infrastructure.

This workshop aims to bring together academic and industrial researchers and practitioners in the fields of Intelligent User Interfaces, Interaction Systems, Social Media, Semantic Web, User Modeling, and Personalization in order to discuss theoretical and practical knowledge, open research issues, applications, and experiences for common benefit.

The workshop will tackle challenges such as aggregation and integration of distributed user data and profiles, smart mashup interfaces, techniques for visualizing distributed user data, user interfaces enabling maintenance of distributed user profiles, inter-system scrutability of user profiles, semantic methods for exchanging user profiles, intertwining social networking services, studies assessing the use of external/public user data for personalization, applications demonstrating intermixing of user profiles from different sources and other challenges that have to be overcome to gain user data interoperability in the Web.

Organizers:

Geert-Jan Houben and Erwin Leonardi
Web Information Systems Group (WIS)
Delft University of Technology, PO Box 5031
2600 GA Delft, the Netherlands

Email: {g.j.p.m.houben, e.leonardi}@tudelft.nl
http://www.st.ewi.tudelft.nl/~houben/
http://www.st.ewi.tudelft.nl/~leonardi/

Fabian Abel and Eelco Herder
L3S Research Center
Appelstraße 4
30167 Hannover, Germany

Email: {abel, herder}@L3S.de
http://www.l3s.de/~abel/
http://www.l3s.de/~herder/

Nicola Henze
IVS - Semantic Web Group
Leibniz University Hannover
Appelstraße 4
30167 Hannover, Germany

Email: {henze}@kbs.uni-hannover.de
http://www.kbs.uni-hannover.de/~henze/

Workshop website: http://www.wis.ewi.tudelft.nl/UDISW2010/

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Workshop 5: Visual Interfaces to the Social and Semantic Web (VISSW 2010)

The continued growth and importance of the Social Web has resulted in ever increasing volumes of data created, published and consumed by users. This vast amount of data takes many forms, including text, images, video and more recently streams of status information from applications such as Twitter. Not only is this data accessible through more traditional means, such as desktop and laptop computers, but also via diverse platforms such as mobile phones and set-top boxes that bring unique constraints in terms of computing resources and user interfaces. Through the increasing availability of Web APIs, data that has traditionally been coupled with a specific application may now be exposed through novel interfaces developed by third parties, providing functionality not previously anticipated by the data owner.

In tandem with the growth of the Social Web, the Web at large has experienced a significant evolution into a Web not just of linked documents, but also of Linked Data. This development, which exploits the Semantic Web technology stack, allows relationships to be expressed between items in distributed data sets, paving the way for integration of raw data from multiple, heterogeneous sources. Coupled with the increasing availability of APIs that expose structured (if not linked) data from the Social Web, application developers have a wealth of data available to them upon which they can build compelling visual interfaces.

The ability to easily integrate vast amounts of data from across the Social and Semantic Web raises significant and exciting research challenges, not least of which how to provide effective access to and navigation across vast, heterogeneous and interconnected data sources. However, the need for intelligent and visual human interfaces to this evolving Web is not limited simply to the modalities of searching and browsing, important as these are. As the Web becomes increasingly populated with data, continues to evolve from a read-mainly to a read-write medium, and the level of social interaction supported on the Web increases, there is also a pressing need to support end-users who engage in a wide range of online tasks, such as publishing and sharing their own data on the Web.

This workshop aims to bring together researchers and practitioners from diverse yet complementary fields to discuss the latest research results and challenges in designing, implementing, and evaluating intelligent interfaces to structured and/or Linked Data from the Social/Semantic Web. In addition, the workshop serves as an opportunity for researchers to gain feedback on their work as well as to identify potential collaborations with their peers. We believe that the potential for fostering links between diverse but highly related facets of the IUI community helps ensure an exciting workshop program.

Organizers:

Siegfried Handschuh
Digital Enterprise Research Institute (DERI)
National University of Ireland
Galway IDA Business Park
Lower Dangan, Galway, Ireland
siegfried.handschuh at deri dot org

Tom Heath
Talis Information Ltd
Knights Court, Solihull Parkway
Birmingham Business Park
B37 7YB, United Kingdom
tom.heath at talis dot com

VinhTuan Thai
Digital Enterprise Research Institute (DERI)
National University of Ireland
Galway IDA Business Park
Lower Dangan, Galway, Ireland
vinhtuan.thai at deri dot org

Ian Dickinson
Rowanhold, Butleigh Road
Glastonbury
Somerset
BA6 8AQ
i.j.dickinson at gmail dot com

Lora Aroyo
Web and Media Group
Computer Science Department VU University Amsterdam
The Netherlands
l.m.aroyo at cs dot vu dot nl

Valentina Presutti
Semantic Technology Laboratory (STLab)
ISTC National Research Council (CNR), Italy
valentina.presutti at istc dot cnr dot it

Workshop website: http://www.smart-ui.org/events/vissw2010/

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Workshop 6: Workshop on Eye Gaze in Intelligent Human Machine Interaction

Eye gaze serves multiple functions in human-human communication. The speaker may use gaze to reference an object in the environment, or to indicate attention to the listener, and or to manage who has the floor, among other functions.

Researchers have long been interested in the role of eye gaze in human machine interaction. It has been used as a pointing mechanism in direct manipulation interfaces, for example, to assist users with “locked-in syndrome”. It has also been used to reflect information needs in web search and tailor information presentation. Based on joint attention indicated by eye gaze, it has been used as a facilitator in computer supported human-human communication. In conversational interfaces, eye gaze has been used to improve language understanding and intention recognition. It has also been incorporated in multimodal behavior of embodied conversational agents. Recent work on human robot interaction has further explored eye gaze in incremental language processing, visual scene processing, and conversation engagement and grounding. Given the recent advances in eye tracking technology and the availability of non-intrusive and high performance eye tracking devices, there has never been a better time to explore new opportunities to incorporate eye gaze in intelligent and natural human machine communication.

This workshop intends to bring researchers from academia and industry together to share recent advances and discuss research directions and opportunities for next generation of human machine interaction that incorporate eye gaze. We invite submissions of research papers and position papers that address the following areas (but not limited to):

Organizers:

Elisabeth André
Lehrstuhl für Multimedia-Konzepte und Anwendungen, Institut für Informatik Universität Augsburg, Eichleitnerstr. 30,
D-86135 Augsburg, Germany
http://www.interactive-multimedia.de/
andre at informatik.uni-augsburg.de

Joyce Chai
Department of Computer Science and Engineering Michigan State University
3115 Engineering Building
East Lansing, MI 48824
http://www.cse.msu.edu/~jchai
jchai at cse.msu.edu

Workshop website: http://www.cse.msu.edu/iuiworkshop09

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Workshop 7: Semantic Models for Adaptive Interactive Systems (SEMAIS)

Semantic technologies and, in particular, ontologies as formal, shareable representations of a domain of interest play an increasingly important role also for the design and development of user interfaces and more generally interactive systems. Semantic models can serve a number of different purposes in this context. They can be used as application or interface models in model-driven design and generation of user interfaces. Semantic Models can also be applied for representing the various kinds of context information for context-aware and adaptive systems.

In particular, they have promise to provide a technique for representing external physical context factors such as location, time or technical parameters and 'internal' context such as user interest profiles or interaction context in a consistent, generalized manner. Owing to these properties, semantic models can also contribute to bridging gaps, e.g., between user models, context-aware interfaces and model-driven UI generation.

There is, therefore, a considerable potential for using semantic models as a basis for adaptive interactive systems. The range of potential adaptations is wide comprising, for example, context- and user-dependent recommendations, interactive assistance when performing application-specific tasks, adaptation of the application functionality, or adaptive retrieval support. Furthermore, a variety of reasoning and machine learning techniques exist, that can be employed to achieve adaptive system behavior.

The workshop generally aims at sharing experiences and identifying a set of shared research issues that need to be addressed in future research. Topics include (but are not limited to):

Organizers:

Alan Dix
Lancaster University
Computing Department, InfoLab21
Lancaster, LA1 4WA, UK
alan at hcibook.com
http://www.hcibook.com/alan

Tim Hussein
University of Duisburg-Essen
Interactive Systems / Interaction Design
Lotharstr. 65, 47057 Duisburg, Germany
tim.hussein at uni-due.de
http://interactivesystems.info/hussein

Stephan Lukosch
Delft University of Technology
Faculty of Technology, Policy and Management
PO Box 5015, 2600 GA Delft, The Netherlands
s.g.lukosch at tudelft.nl
http://www.tudelft.nl/sglukosch

Juergen Ziegler
University of Duisburg-Essen
Interactive Systems / Interaction Design
Lotharstr. 65, 47057 Duisburg, Germany
juergen.ziegler at uni-due.de
http://interactivesystems.info/ziegler

Workshop website: http://www.semais.org

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Workshop 8: Second International Workshop on Human Factors and Computational Models in Negotiation (HuCom2010 @ IUI)

Negotiation is a complex and sometimes emotional decision-making process aiming to reach an agreement to exchange goods or services. Although a daily activity, extensive research has shown that few people are effective negotiators. Current state of the art negotiation support systems can help make a significant improvement in negotiation performance. In particular, when the negotiation space is well-understood, partly because machines can much better deal with the computational complexity involved. However, the negotiation space can only be properly developed if the human parties jointly explore their interests. The inherent semantic problem and the emotional issues involved make that negotiation cannot be handled by artificial intelligence alone, and a human-machine collaborative system is required. Such systems not only support humans with strategic advice but also provide advice on coping with emotions and moods in human-human interactions.

To develop the next generation of support systems there are still many, diverse challenges, including: models of (qualitative, incomplete) preferences, preference change and strategies, preference elicitation, assessment methods for negotiation performance, learning and adaptiveness in negotiation, models of emotion and user awareness

Like its predecessor, HuCom08, this workshop aims to bring together, and build a community of researchers from artificial intelligence, human-computer interaction, affective computing as well as researchers who are interested in negotiation support from a psychological, economical or social sciences perspective. Whereas HuCom08 was a standalone workshop, it is now organized as an IUI Workshop because of the shared interest in the combination of AI and HCI. We feel that the two communities can greatly benefit from each others work.

Topics include but are not limited to:

Organizers:

Pascal Wiggers
Man-Machine Interaction Group
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
Mekelweg 4, 2628 CD Delft, The Netherlands
e-mail: p.wiggers at tudelft.nl

Alina Pommeranz
Man-Machine Interaction Group
Faculty of Electrical Engineering, Mathematics and Computer Science
Delft University of Technology
Mekelweg 4, 2628 CD Delft, The Netherlands
e-mail: alina.pommeranz at gmail.com

Dr. Pearl Pu
Human Computer Interaction Group
Faculty of Computer and Communication Sciences
Ecole Polytechnique Federale de Lausanne (EPFL)
CH - 1015 Lausanne, Switzerland
e-mail: pearl.pu at epfl.ch

Workshop website: http://mmi.tudelft.nl/hucom10IUI/

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