2003 Conference Program

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Sunday, Jan 12 Monday, Jan 13 Tuesday, Jan 14 Wednesday, Jan 15
9:00 - 12:30
Tutorial I
Intelligent User Interfaces: An Introduction		 8:45 - 10:15
Welcome
Invited Talk I
Daniel Weld		 9:00 - 11:00
Papers IV
Multimodal Input 		9:00 - 10:15
Papers VI
Affective User Interfaces
10:40 - 12:45
Papers I
Knowledge Acquisition and Visualization		 10:15 - 11:05
Papers VII
Natural Language Interfaces
11:30 - 12:45
Invited Talk II
Hiroshi Ishii		 11:30 - 12:45
Invited Talk III
Allen Gorin
2:00 - 5:30
Tutorial II
Recommender Systems: Interfaces and Technology		 2:15 - 3:30
Papers II
Agent-based Interfaces I
 2:15 - 3:55
Papers V
Model-based Interface Design
 2:15 - 3:30
Papers VIII
Adaptive and Collaborative Interfaces
3:55 - 5:10
Papers III
Agent-based Interfaces II		 4:20 - 5:35
Panel I
A Life without Friction: Tales from the InfoLab		 3:30 - 4:20
Panel II
XML: The lingua franca of IUIs?
7:00 - 9:00
Opening Reception		 8:00 - 10:00
Poster Reception
Poster and Demonstration Session		 4:20 - 4:30
Closing Remarks
David Leake

Tutorial I
Sunday, Jan 12th - 9:00am to 12:30 pm

 

Intelligent User Interfaces: An Introduction (ACM Digital Library Link)
Mark Maybury, The MITRE Corporation


Abstract

Intelligent user interfaces promise to improve the interaction for all. Drawing upon material from the Readings in Intelligent User Interfaces (IUI) (Maybury and Wahlster, 1998), this tutorial will define terms, outline the history, describe key subfields, and exemplify and demonstrate intelligent user interfaces in action.


Overview of Topics

Intelligent user interfaces (IUI) are human-machine interfaces that aim to improve the efficiency, effectiveness, and naturalness of human-machine interaction by representing, reasoning, and acting on models of the user, domain, task, discourse, and media (e.g., graphics, natural language, gesture). Intelligent user interfaces are multifaceted, in purpose and nature, and include capabilities for multimedia input analysis, multimedia presentation generation, and the use of user, discourse and task models to personalize and enhance interaction.

1. Multimedia Input Analysis

Whereas traditional interfaces support sequential and unambiguous input from devices such as keyboard and conventional pointing devices (e.g., mouse, trackpad), intelligent multimodal interfaces relax these constraints and typically incorporate a broader range of input devices (e.g., spoken language, eye and head tracking, three dimensional gesture). For example, they support asynchronous, ambiguous, and inexact input by applying more sophisticated analysis of input. These systems allow the resolution of multimedia references, for example enabling the user to say "Put that there" while gesturing to a map, by correlating eye and hand gestures with the deictic expressions "that" and "there". Integrated input from multiple devices promises to simultaneously enhance communication efficiency, effectiveness (e.g., speed and accuracy), and naturalness. Intelligent interfaces can also detect and correct errors utilizing models of the media, user, discourse, and task.

2. Multimedia Output Generation

Whereas traditional interfaces draw upon pre-programmed or canned presentations (e.g., windows, menus, dialogue boxes), automated interface and presentation generation addresses the ability of a system to select content, apportion that content to various media (e.g., typed or spoken language, graphics, gesture), and realize those media in an integrated and coordinated fashion. Key multimedia generation tasks include managing the communication (i.e., reasoning about plans and intentions), selecting content to achieve given communicative goals, designing the presentation, allocating and coordinating information across media, realizing media, and laying them out.

3. Model-based Interfaces

Given the complexity, associated skill level, and time required to build interfaces, researchers have focused on creating user interface design and development environments. User interface management systems (UIMS), software development toolkits containing components such as windows, menus, and dialogue boxes, were originally designed to address this problems. While UIMS foster design consistency and enhance programmer productivity via code reuse, unfortunately, they frequently mix interface code with application code. In contrast, model based interfaces, separate applications into (at least) four layers: application actions, dialog control, style rules (specifications of presentation and behavior), and style program layer (primitive toolkit objects composed by style rules). In addition to supporting more declarative development, these systems can draw upon the above automated input analysis and output generation techniques. In contrast to interface software repositories, model-based interface development environments promise automated design critique, refinement and implementation.

4. Interaction Management

Context has always been recognized as critical to the effectiveness of interaction. Context comes in many forms, typically explicitly represented in models of the user, discourse, task, and situation. Computational techniques to acquire, represent, and exploit context enable systems to track and react to interactive dialogue. More principled models of interactive participants are essential to enable such intelligent behavior as negotiation, tailored explanation, and error detection and recovery among communication participants, both human and machine.

5. Agent-based Interaction

Agents have increased in prominence in applications, including as search agents, desktop support (e.g., Microsoft's Office Assistant), collaborative filtering (e.g., shopping recommenders), and for intelligent distributed computing. Agents may assist by decreasing task complexity, bringing expertise to the user (in the form of expert critiquing, task completion, coordination) or simply providing a more natural environment with which to interact. Research in this area includes the use of agents to express system and discourse status via facial displays, multimodal communication between animated computer agents, and standards and open architectures for building agent based multimodal interfaces. Key research questions include: What can and should an agent do? How they should do it? How, when, and why should they interact with the user when doing it?

6. Evaluation

A final area addressed by the tutorial will be IUI evaluation. Benchmarking, hypothesis testing, and repeatable experiments are fundamental to any scientific endeavor. Community-based evaluation using standard corpora and tasks have been applied in several areas related to intelligent interfaces, including speech, information extraction, and information retrieval, although relatively little evaluation has been systematically performed on IUIs. Performed objectively, precisely, and comprehensively, evaluation can benchmark, chart progress, and enable comparison of relative strengths and weaknesses of approaches. Evaluations can be either glass-box (internal) and black-box evaluation (end-to-end). Criteria for evaluation might include quantitative measures (e.g., time to perform tasks, accuracy of tasks, percent of inter-assessor agreement) as well as qualitative ones (e.g., user indication of utility, ease of use, naturalness). Important dimensions of the problem include considering human- human vs. human-computer communication, spoken vs. written communication, unimodal versus multimodal communication, direct vs. mediated communication. We will discuss a range of techniques available to the scientist and engineer including wizard-of-oz experiments, simulations, and instrumentation of live environments.


Tutorial Structure

The tutorial introduces intelligent user interfaces using the following outline:

1. Multimedia input analysis
2. Multimedia output generation
3. Interaction Management, including user and discourse models and adaptation
4. Agent-based interaction
5. Evaluation of intelligent user interfaces

The tutorial will include animations and demonstrations.


Summary

Effectively implemented and deployed, intelligent user interfaces promise many benefits. These include:

More efficient interaction -- enabling more rapid task completion with less work.

More effective interaction -- doing the right thing at the right time, tailoring the content and form of the interaction to the context of the user, task, dialogue

More natural interaction -- supporting spoken, written, and gestural interaction, ideally as if interacting with a human interlocutor.


Instructor Biography

Mark Maybury received his M.Phil. in Computer Speech and Language Processing (1987), an MBA from RPI (1989), and his Ph.D. in Artificial Intelligence (1991) for his dissertation, "Generating Multisentential Text using Communicative Acts" at Cambridge University. Mark has organized international symposia, given tutorials, and published over fifty articles in the area of language generation, multimedia presentation, text summarization, and intelligent information retrieval. Mark is editor of Intelligent Multimedia Interfaces (AAAI/MIT Press, 1993), Intelligent Multimedia Information Retrieval (AAAI/MIT Press, 1997) and co-editor of Readings on Intelligent User Interfaces (Morgan Kaufmann Press, 1998), Advances in Text Summarization (MIT Press, 1999) and Advances in Knowledge Management: Classic and Contemporary Works (MIT Press, 2001) and co-author of Information Storage and Retrieval: Theory and Implementation. 2nd Edition (Kluwer Academic, 2000) and co-editor of Knowledge Management (MIT Press 2000). Mark is Executive Director of MITRE's Information Technology Division and a member of the Steering and Program Committees for ACM IUI.

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Tutorial II
Sunday, Jan 12th - 2:00 to 5:30 pm

 

Recommender Systems: Interfaces and Technology
John Riedl and Joe Konstan, The University of Minnesota


Description

The ideas, interfaces, and intelligence behind recommender systems, the tools that are driving personalization on the Web.

Recommender systems are the technology that Web sites -- and other highly interactive user experiences -- use to intelligently match users to the items they are most interested in. Recommender systems work by learning about the user's tastes, and exploiting relationships between those tastes and the items available on the site. This tutorial will survey the range of recommender systems in use today, including the technology behind them, and the interfaces that are most successful. We will also look at research on recommender systems that will be moving from the research lab into practice over the next decade, including group recommenders, meta recommenders, and recommenders that include intelligent agents in their community.


Objective

Intelligent recommender systems have been an area of active research for a decade now, and have been commercially important for about half that long. This tutorial will be in between a survey of a mature area of IUI research and practice, and motivation and explanation of an IUI topic of emerging importance. On the one hand, the past research and the many commercial successes (and failures!) will be surveyed; on the other hand, the tutorial will serve as a "call to arms", pointing out important open research problems in recommender systems, and showing IUI researchers how they can use recommender systems in their own research and practice.


After taking this tutorial, students will be ready to:

(1) design new recommender system applications; and (2) use recommender systems in their workplaces, whether business or academic. Students will be exposed to a variety of recommender interfaces and applications, drawn from both research and commercial examples, and will learn how to analyze recommender system design. They will also learn a recommender system design methodology that works forward from application objectives to constrain and select the interface and technology for a recommender application.


Audience

The tutorial will be suitable for IUI attendees with little or no experience in recommender systems who are interested in understanding how recommenders can be used in their own research or practice. The tutorial will also be valuable to those who have used some type of recommender system in the past for its broad survey of the different types of recommender systems and interfaces.


Instructor Biographies

John Riedl and Joe Konstan direct the GroupLens Research group at the University of Minnesota, which has been researching recommender systems since 1992. They have published numerous papers on recommender systems, including papers in IUI, CSCW, and AAAI conferences. They are co-founders of Net Perceptions, the leading vendor of recommender systems, and authors of the book Word of Mouse: The Marketing Power of Collaborative Filtering (WarnerBooks, to be released Fall 2002). They are both associate professors of computer science and engineering at the University of Minnesota. Both Konstan and Riedl are award-winning teachers with experience teaching conference tutorials and professional short courses.

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Opening Reception
Sunday, Jan 12th - 7:00 to 9:00 pm

  Opening Reception and Registration
The Palms Hotel, Miami Beach

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Welcome - Invited Talk I
Monday, Jan 13th - 8:45 to 10:15 am

  Opening Remarks:
David Leake, Indiana University, Chair, IUI 2003

Invited talk I: What Users Want (ACM Digital Library Link)
Daniel Weld, The University of Washington

Abstract:
Today's computer interfaces are one size fits all. Users with little programming experience have only limited opportunities to customize their interface to their task and work habits (e.g., adding buttons to a toolbar). Furthermore, the overhead induced by generic interfaces will be proportionately greater on small form-factor PDAs, embedded applications and wearable devices. Searching for a solution, researchers argue that productivity can be greatly enhanced if interfaces anticipated their users, adapted to their preferences, and reacted to high-level customization requests. But realizing these benefits is tricky, because there is an inherent tension between the dynamism implied by automatic interface adaptation and the stability required in order for the user to maintain an accurate mental model, predict the computer's behavior, and feel in control. In this talk, I discuss several principles governing effective adaptation, describe algorithms for data mining user action traces, and suggest mechanisms for dynamically transforming interfaces.

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Papers I
Monday, Jan 13th - 10:40 to 12:45 pm

Knowledge Acquisition and Visualization

  Sketching for military course of action diagrams (ACM Digital Library Link)
Kenneth Forbus, Jeffrey Usher, Vernell Chapman, Northwestern University

Personal Choice Point: Helping users visualize what it means to buy a BMW (ACM Digital Library Link)
Andrew Fano, Scott Kurth, Accenture Technology Labs

Supporting Plan Authoring and Analysis (ACM Digital Library Link)
Jihie Kim, Jim Blythe, University of Southern California/Information Sciences Institute

Illustrative Shadows: Integrating 3D and 2D Information Displays (ACM Digital Library Link)
Felix Ritter, Henry Sonnet, Knut Hartmann, Thomas Strothotte Otto-von-Guericke University of Magdeburg

Presenting Route Instructions on Mobile Devices (ACM Digital Library Link)
Christian Kray, DFKI, Katri Laakso, Nokia Research Center, Christian Elting, EML, Volker Coors, IGD

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Papers II
Monday, Jan 13th - 2:15 to 3:30 pm

Agent-based Interfaces I

  Lessons Learned in Modeling Schizophrenic and Depressed Responsive Virtual Humans for Training (ACM Digital Library Link)
Robert Hubal, Geoffrey Frank, Curry Guinn, Technology Assisted Learning Division, RTI

Buddies in a Box: Animated Characters in Consumer Electronics (ACM Digital Library Link)
Elmo Diederiks, Philips Research Laboratories

Evolution of User Interaction: The Case of Agent Adele (ACM Digital Library Link)
W. Johnson, Erin Shaw, Catherine LaBore, University of Southern California/Information Sciences Institute

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Papers III
Monday, Jan 13th - 3:55 to 5:10 pm

Agent-based Interfaces II

  A Flexible Platform for Building Applications with Life-Like Characters (ACM Digital Library Link)
Thomas Rist, DKFI, Elisabeth Andre, University of Augsburg, Stephan Baldes, DFKI

Intelligent User Interface Design for Teachable Agent Systems (ACM Digital Library Link)
Joan Davis, Krittaya Leelawong, Kadira Belynne, B. Bodenheimer, Gautam Biswas, N. Vye, and J. Bransford, Vanderbilt University

Environment Modification in a Simulated Human-Robot Interaction Task: Experimentation and Analysis (ACM Digital Library Link)
Robert St. Amant, David Christian, North Carolina State University

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Poster Reception
Monday, Jan 13th - 7:00 to 9:00 pm

  Poster and Demonstration Session:

Abbreviated Text Input (ACM Digital Library Link)
Stuart Shieber, Ellie Baker, Harvard University

Adapting to the User's Internet Search Strategy
Jean-David Ruvini, Bouygues e-lab

Affective Multi-Modal Interfaces: The Case of McGurk Effect (ACM Digital Library Link)
Azra Ali, Philip H. Marsden, University of Huddersfield

An Emotional InterFace for a Music Gathering Application (ACM Digital Library Link)
Albert van Breemen, Philips Research, Christoph Bartneck, Technical University of Eindhoven

An End-User Tool for E-Commerce Debugging (ACM Digital Library Link)
Earl Wagner, Henry Lieberman, MIT Media Lab

An Experiment in Automated Humorous Output Production (ACM Digital Library Link)
Oliviero Stock, Carlo Strapparava, ITC-irst

A Zero-input Interface for Leveraging Group Experience in Web Browsing (ACM Digital Library Link)
Taly Sharon, Henry Lieberman, Ted Selker, MIT Media Lab

AttrActive Windows: Active Windows for Pervasive Computing Applications (ACM Digital Library Link)
Les Nelson, Elizabeth Churchill, Laurent Denoue, FX Palo Alto Laboratory

Beyond Broadcast (ACM Digital Library Link)
Kevin Livingston, Mark Dredze, Kristian Hammond, Larry Birnbaum, The Intelligent Information Laboratory, Northwestern University

Beyond Broadcast: a Demo (ACM Digital Library Link)
Kevin Livingston, Mark Dredze, Kristian Hammond, Larry Birnbaum, The Intelligent Information Laboratory, Northwestern University

Building Applications with Life-Like Characters - the MIAU Platform (ACM Digital Library Link)
Thomas Rist, DKFI
Elisabeth Andre, University of Augsburg
Stephan Baldes, DFKI

Demonstration of the Complex Event Recognition Architecture for Multimodal Event Parsing (ACM Digital Library Link)
R. James Firby, I/NET Inc.
Will Fitzgerald, Kalamazoo College

DJ-Boids: Emergent Collective Behaviour as Multichannel Radio Station Programming (ACM Digital Library Link)
Jesús Ibáñez Josep Blat, Pompeu Fabra University,
Antonio F. Gómez-Skarmeta, Murcia University

Designing Intelligent and Dynamic Interfaces for Communicating Mathematics (ACM Digital Library Link)
Mathematics, Anton N. Dragunov, Jonathan L. Herlocker, Oregon State University

EduNuggets: An Intelligent Environment for Managing and Delivering Multimedia Education Content (ACM Digital Library Link)
Eleni Stroulia, Kavita Jari, University of Alberta

Enhancing Conversational Flexibility in Multimodal Interactions with Embodied Lifelike Agents (ACM Digital Library Link)
Kyoshi Mori, Mitsuru Ishizuka, University of Tokyo

EROS: Explorer for RDFS-based Ontologies (ACM Digital Library Link)
Richard Vdovjak, Peter Barna, Geert-Jan Houben, Eindhoven University of Technology

End-User Debugging for E-Commerce (ACM Digital Library Link)
Earl Wagner, Henry Lieberman, MIT Media Lab

Automatic Generation of Content-Based User Profiles Compared to Rule-Based Profiles for Information Filtering (ACM Digital Library Link)
Tsvi Kuflik, Peretz Shoval, Ben-Gurion University of the Negev

Haystack: A Platform for Creating, Organizing and Visualizing Semi-structured Information (ACM Digital Library Link)
Dennis Quan, IBM Internet Technology Division and MIT AI Laboratory
David Huynh, Vineet Sinha, MIT AI Laboratory
David Karger, MIT LCS

Information Filtering using Bayesian Networks: Effective User Interfaces for Aviation Weather Data (ACM Digital Library Link)
Corinne Clinton Ruokangas, Ole J. Mengshoel, Rockwell Scientific

Intelligent Dialog Overcomes Speech Technology Limitations: The SENECa Example (ACM Digital Library Link)
Paul Heisterkamp, Wolfgang Minker, Udo Haiber, DaimlerChrysler Research and Technology
Sven Scheible, Temic - Sprachverarbeitung GmbH

Intelligent User Interface Design for Teachable Agent Systems (ACM Digital Library Link)
Joan Davis, Krittaya Leelawong, Kadira Belynne, Gautam Biswas, N. Vye, B. Bodenheimer, J. Bransford, Vanderbilt University

Intelligent User Interfaces in the Living Room: Usability Design for Personalized Television Applications (ACM Digital Library Link)
Konstantinos Chorianopoulos, George Lekakos, Diomidis Spinellis, ELTRUN, Athens University of Economics and Business

Interaction Tactics for Socially Intelligent Pedagogical Agents (ACM Digital Library Link)
W.Johnson, University of Southern California/Information Sciences Institute

Interactive Problem Solving in an Intelligent Virtual Environment (ACM Digital Library Link)
Carlos Calderon, Marc Cavazza, Teesside University
Daniel Diaz, University of Paris 1

MORE: Model Recovery from Visual Interfaces for Multi-Device Application Design (ACM Digital Library Link)
Tessa Lau, Lawrence Bergman, Yves Gaeremynck, IBM TJ Watson Research Center

MovieLens Unplugged: Experiences with a Recommender Systems on Four Mobile Devices (ACM Digital Library Link)
Bradley N. Miller, Istvan Albert, Shyong K. Lam, Joseph A. Konstan, John Riedl, University of Minnesota

Navigating by Knowledge (ACM Digital Library Link)
I. Alfaro, M. Zancanaro, M. Nardon, A. Guerzoni, ITC-irst

nuSketch Battlespace: A Demonstration (ACM Digital Library Link)
Kenneth Forbus, Jeffery Usher, Vernell Chapman, Northwestern University

On-demand Geo-referenced TerraFly Data Miner (ACM Digital Library Link)
Naphtali Rishe, Maxim Chekmasov, Marina Chekmasova, Scott Graham, Ian De Felipe, Florida International University

Personalized Trading Recommendations System (ACM Digital Library Link)
Jungsoon Yoo, Middle Tennessee State University
Melinda Gervasio, Pat Langley, Institute for the Study of Learning and Expertise

Power Tools and Composite Tools: Integrating Automation with Direct Manipulation (ACM Digital Library Link)
Robert St. Amant, John Daughtry, North Carolina State University

Recommendations Without User Preferences: A Natural Language Approach (ACM Digital Library Link)
Michael Fleischman, Eduard Hovy, USC Information Science Institute

Safety and Operating Issues for Mobile Human-Machine Interfaces (ACM Digital Library Link)
Dirk Buehler, Paul Heisterkamp, Wolfgang Minker, DaimlerChrysler Research and Technology

Search for Efficient Device-Dependent Action Sequences in the User Interface (ACM Digital Library Link)
Robert St. Amant, Clarence Simpson, North Carolina State University

Scripting Embodied Agents Behaviour with CML: Character Markup Language (ACM Digital Library Link)
Yasmine Arafa, Abe Mamdani, Imperial College London

Sticky Notes for the Semantic Web (ACM Digital Library Link)
Dennis Quan, IBM Internet Technology Division and MIT AI Laboratory
Jimmy Lin, MIT AI Laboratory
David Karger, MIT LCS
Boris Katz, MIT AI Laboratory

Summarizing Archived Discussions: A Beginning (ACM Digital Library Link)
Paula S. Newman, Palo Alto Research Center
John C. Blitzer, University of Pennsylvania

TellMaris and Deep Map: Two Navigational assistants (ACM Digital Library Link)
Christian Kray, DFKI
Katri Laakso, Nokia Research Center

Towards Individual Service Provisioning (ACM Digital Library Link)
Fredrik Espinoza, Swedish Institute of Computer Science

Towards Intuitive Interaction for End-User Programming (ACM Digital Library Link)
Eric Schwarzkopf, Mathias Bauer, Dietmar Dengler, DFKI

Towards a Non-Linear Narrative Construction (ACM Digital Library Link)
Vidya Setlur, David Shamma, Kristian Hammond, Sanjay Sood, Northwestern University

Towards a Theory of Natural Language Interfaces to Databases (ACM Digital Library Link)
Ana Popescu, Oren Etzioni, Henry Kautz, University of Washington

Towards an Architecture for Intelligent Control of Narrative in Interactive Virtual Worlds (ACM Digital Library Link)
Mark Riedl, Michael Young, North Carolina State University

Social Cues and Awareness for Recommendation Systems (ACM Digital Library Link)
Pearl Pu, Swiss Institute of Technology, Lausanne
Punit Gupta, Indian Institute of Technology, Guwahati

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Papers IV
Tuesday, Jan 14th - 9:00 to 11:00 am

Multimodal Input

  Multimodal Event Parsing for Intelligent User Interfaces (ACM Digital Library Link)
Will Fitzgerald, Kalamazoo College, R. James Firby, I/NET, Inc.

Self-Adaptive Multimodal-Interruption Interfaces
Ernesto Arroyo, Ted Selker, MIT Media Lab

Recognition of Freehand Sketches Using Mean Shift (ACM Digital Library Link)
Bo Yu, Nanjing University

On-line personalization of a touch screen based keyboard (ACM Digital Library Link)
Johan Himberg, Jonna Häkkilä, Nokia Research Center, Jani Mäntyjärvi, Petri Kangas, Nokia Mobile Phones

Interactive Machine Learning (ACM Digital Library Link)
Dan Olsen, Jerry Fails, Brigham Young University

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Invited Talk II
Tuesday, Jan 14th - 11:30 to 12:45pm

 

Tangible Bits: Designing the Seamless Interface between People, Bits, and Atoms (ACM Digital Library Link)
Hiroshi Ishii
Tangible Media Group
MIT Media Laboratory

Abstract:
Where the sea meets the land, life has blossomed into a myriad of unique forms in the turbulence of water, sand, and wind. At another seashore between the land of atoms and the sea of bits, we are now facing the challenge of reconciling our dual citizenships in the physical and digital worlds. Windows to the digital world are confined to flat square screens and pixels, or "painted bits." Unfortunately, one can not feel and confirm the virtual existence of this digital information through one's body. Tangible Bits, our vision of Human Computer Interaction (HCI), seeks to realize seamless interfaces between humans, digital information, and the physical environment by giving physical form to digital information, making bits directly manipulable and perceptible. The goal is to blur the boundary between our bodies and cyberspace and to turn the architectural space into an interface between the people, bits, and atoms. In this talk, I will present a variety of tangible user interfaces the Tangible Media Group has designed and presented within the CHI, SIGGRAPH, UIST, CSCW, IDSA, ICSID, ICC, and Ars Electronica communities.

About Hiroshi Ishii:
Hiroshi Ishii is a tenured Associate Professor of Media Arts and Sciences, at the MIT Media Lab. His research focuses upon the design of seamless interfaces between humans, digital information, and the physical environment.

At the MIT Media Lab, he founded and directs the Tangible Media Group pursuing a new vision of Human Computer Interaction (HCI): "Tangible Bits." His team seeks to change the "painted bits" of GUIs to "tangible bits" by giving physical form to digital information. He also co-directs Things That Think (TTT) Consortium at the MIT Media Lab.

Ishii and his students have presented their vision of "Tangible Bits" at a variety of academic, industrial design, and artistic venues (including ACM SIGCHI, ACM SIGGRAPH, Industrial Design Society of America, and Ars Electronica), emphasizing that the development of tangible interfaces requires the rigor of both scientific and artistic review. A display of many of the group's projects took place at the NTT InterCommunication Center (ICC) in Tokyo in summer 2000. A new, two-year-long exhibition "Get in Touch" that features the Tangible Media group's work opened at Ars Electronica Center (Linz, Austria) in September 2001.

Prior to MIT, from 1988-1994, he led a CSCW research group at the NTT Human Interface Laboratories, where his team invented TeamWorkStation and ClearBoard. In 1993 and 1994, he was a visiting assistant professor at the University of Toronto, Canada. He received B. E. degree in electronic engineering, M. E. and Ph. D. degrees in computer engineering from Hokkaido University, Japan, in 1978, 1980 and 1992, respectively.

Homepage for Hiroshi Ishii: http://web.media.mit.edu/~ishii/.

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Papers V
Tuesday, Jan 14th - 2:15 to 3:55pm

Model-based Interface Design

  Balancing Efficiency and Interpretability in an Interactive Statistical Assistant (ACM Digital Library Link)
Robert St. Amant, Michael Dinardo, Nickie Buckner, North Carolina State University

MORE for less: Model recovery from visual interfaces for multi-device application design (ACM Digital Library Link)
Tessa Lau, Yves Gaeremynck, Lawrence Bergman, IBM TJ Watson Research Center

Dynamic Web Page Authoring By Example Using Ontology-based Domain Knowledge (ACM Digital Library Link)
José Macías, Pablo Castells, University of Madrid

Tool Support for Designing Nomadic Applications (ACM Digital Library Link)
Fabio Paternò, Giulio Mori, Carmen Santoro, ISTI - CNR

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Panel I
Tuesday, Jan 14th - 4:20 to 5:35

  A Life without Friction: Tales from the InfoLab
Chairs, Kristian Hammond and Larry Birnbaum, Northwestern University

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Papers VI
Wednesday, Jan 15th - 9:00 to 10:15 am

Affective User Interfaces

  Inferring User Goals from Personality and Behavior in a Causal Model of User Affect (ACM Digital Library Link)
Cristina Conati, Xiaoming Zhou, University of British Columbia

A Model of Textual Affect Sensing using Real-World Knowledge (ACM Digital Library Link)
Hugo Liu, Henry Lieberman, Ted Selker, MIT Media Laboratory

A Virtual Patient based on Qualitative Simulation (ACM Digital Library Link)
Marc Cavazza, University of Teesside
Altion Simo, University of Gifu

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Papers VII
Wednesday, Jan 15th - 10:15 to 11:05am

Natural Language Interfaces

  Towards a Theory of Natural Language Interfaces to Databases (ACM Digital Library Link)
Oren Etzioni, Henry Kautz, Ana-Maria Popescu, University of Washington

A Reliable Natural Language Interface to Household Appliances (ACM Digital Library Link)
Oren Etzioni, Dan Weld, Alex Yates, University of Washington

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Invited Talk III
Wednesday, Jan 15th - 11:30 to 12:45pm

 

Semantic Information Processing of Spoken Language: How May I Help You? (ACM Digital Library Link)
Allen Gorin
AT&T Laboratories - Speech Research
Florham Park, New Jersey

Abstract:
The next generation of voice-based user interface technology will enable easy-to-use automation of new and existing communication services, achieving a more natural human-machine interaction. By natural, we mean that the machine understands what people actually say, in contrast to what a system designer expects them to say. This approach is in contrast with menu-driven or strongly-prompted systems, where many users are unable or unwilling to navigate such highly structured interactions. AT&T's 'How May I Help You?' (HMIHY)(sm) technology shifts the burden from human to machine wherein the system adapts to peoples' language, as contrasted with forcing users to learn the machine's jargon. We have developed algorithms which learn to extract meaning from fluent speech via automatic acquisition and exploitation of salient words, phrases and grammar fragments from a corpus. In this talk I will describe the speech, language and dialog technology underlying HMIHY, plus experimental evaluation on live customer traffic from AT&T's national deployment for customer care.

About Allen Gorin:
Allen Gorin is the Head of the Speech Interface Research Department at AT&T Laboratories, with long-term research interests focusing on machine learning methods for spoken language understanding. In recent years, he has led a research team in applying speech, language and dialog technology to AT&T's "How May I Help You?" (HMIHY) (sm) service, which has been deployed nationally for long distance customer care. He was awarded the 2002 AT&T Science and Technology Medal for his research contributions to spoken language understanding for HMIHY.

He received the B.S. and M.A. degrees in Mathematics from SUNY at Stony Brook, and the Ph.D. in Mathematics from the CUNY Graduate Center in 1980. From 1980-83 he worked at Lockheed investigating algorithms for target recognition from time-varying imagery. In 1983 he joined AT&T Bell Labs where he was the Principal Investigator for AT&T's ASPEN project within the DARPA Strategic Computing Program, investigating parallel architectures and algorithms for pattern recognition. In 1987, he was appointed a Distinguished Member of the Technical Staff. In 1988, he joined the Speech Research Department at Bell Labs. He has served as a guest editor for the IEEE Transactions on Speech and Audio, and was a visiting researcher at the ATR Interpreting Telecommunications Research Laboratory in Japan. He is a member of the Acoustical Society of America, Association for Computational Linguistics and an IEEE Senior Member.

Home page for Allen Gorin: http://www.research.att.com/info/algor.

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Papers VIII
Wednesday, Jan 15th - 2:15 to 3:30pm

Adaptive and Collaborative Interfaces

  An Adaptive Stock Tracker for Personalized Trading Recommendations (ACM Digital Library Link)
Jungsoon Yoo, Middle Tennessee State University, Melinda Gervasio, Pat Langley, Institute for the Study of Learning and Expertise

Learning Implicit User Interest Hierarchy for Context in Personalization (ACM Digital Library Link)
Hyoung Rae Kim, Philip K. Chan, Florida Institute of Technology

Towards more Conversational and Truly Collaborative Recommender Systems (ACM Digital Library Link)
Giuseppe Carenini, David Poole, Jocelyn Smith, University of British Columbia

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Panel II
Wednesday, Jan 15th - 3:30 to 4:20pm

  XML: The lingua franca of IUIs?
Chair, Angel Puerta, RedWhale Software

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Closing Remarks
Wednesday, Jan 15th - 4:20 to 4:30 pm

  David Leake, Indiana University, Chair, IUI 2003

 

 

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