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VIII.1 Jan-Feb, 2001
Page: 59
Digital Citation

Conference preview: IUI 2001

Marisa Campbell

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IUI 2001 is the annual meeting of the intelligent interfaces community and serves as the principal international forum for reporting outstanding research and development on intelligent user interfaces. Talks during the conference will be given by an international group of researchers and practitioners.

back to top  Tutorial Program

1. Intelligent User Interfaces
Mark Maybury
The MITRE Corporation

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).

The tutorial will include animations and demonstrations, and introduces intelligent user interfaces using the following outline:

  • Multimedia input analysis
  • Multimedia output generation
  • Interaction Management, including user and discourse
  • Models and adaptation
  • Agent-based interaction
  • Evaluation of intelligent user interfaces

2. Designing User-Adaptive Systems
Anthony Jameson
Saarland University / DFKI, Germany

This tutorial will give participants an active understanding of the issues that arise in the design of systems that adapt to their users—ranging from personalized e-commerce sites to context-aware alerting systems.

Features of the tutorial:

  • Learn about the potential benefits and limitations of many forms of user adaptation
  • Discuss specific examples of deployed user-adaptive
  • Systems and current research prototypes
  • Actively deal with the central issues that arise in the design of such systems by addressing them in the context of a typical design task

The presentation will consist of lectures that refer to concrete system examples within a unifying conceptual framework, interleaved with brief discussions of an example design problem.

3. Programming by Demonstration:
Intelligent Interfaces for Teaching New Beahvior to a Machine
Henry Lieberman
Media Lab, MIT

Programming by Example (also called Programming by Demonstration) is a powerful new technology that lets end-users create programs by recording actions in the user interface rather than by typing statements in a programming language. This tutorial will present this technology, which shows how intelligent user interfaces can dramatically improve the process of software development and make it accessible to users who do not have prior experience with programming. It will also include in-class design exercises, such as "Wizard of Oz" and "Short-Order Programming" exercises to give attendees hands-on experience with the technology.

4. Animated Pedagogical Agents
W. Lewis Johnson
Center for Advanced Research in Technology for Education
USC / Information Sciences Institute

Animated pedagogical agents are emerging as an important way of enhancing the effectiveness of interactive learning environments, and providing intelligent help to other interactive applications. Nonverbal communication is an important part of face-to-face tutorial interaction, and animated pedagogical agents are able to emulate such interactions via a human-computer interface.

This tutorial will survey current research in animated pedagogical agent technology, and discuss the results of evaluation studies that have been performed to date. It will examine common methods and techniques for implementing such agents, and discuss how they can be best put to use.

back to top  Opening Plenary Address

Towards Conversational Human-Computer Interaction
James Allen
University of Rochester

bullet.gif Abstract

The belief that humans will be able to interact with computers in conversational speech has long been a favorite subject in science fiction. This reflects the persistent belief that spoken dialogue would be the most natural and powerful user interface to computers. With recent improvements in computer technology and in speech and language processing, such systems are starting to appear feasible. There are significant technical problems that still need to be solved before speech-driven interfaces become truly conversational. This talk describes the results of a ten-year effort building robust spoken dialogue systems at the University of Rochester.

bullet.gif Papers

Paper Session I: Interfaces That Understand

  • An Architecture for More Realistic Conversational Systems
    James Allen, George Ferguson, Amanda Stent, University of Rochester
  • Towards a Computational Model of Sketching
    Kenneth D. Forbus, Ronald W. Ferguson, Jeffery M. Usher, Northwestern University
  • Creating Tangible Interfaces by Augmenting Physical Objects with Multimodal Language
    David R. McGee, Philip R. Cohen, Oregon Graduate Institute

Paper Session II: Bayesian and Model-Based Interfacess

  • Generating Adaptive Support to the Understanding of Instructional Material
    Cristina Conati, University of British Columbia
  • Ambush: Calendars as Sensors
    Elizabeth Mynatt, Joe Tullio, Georgia Tech
  • Applying Model-Based Techniques to the Development of UIs for Mobile Computers
    Jacob Eisenstein, Jean Vanderdonckt, Angel Puerta, RedWhale Software

Paper Session III: Task-Support: Design, Learning, & Knowledge Acquisition

  • An Integrated Interface for Proactive, Experience-Based Design Support
    David B. Leake, Indiana University; Larry Birnbaum, Kristian Hammond, Northwestern University; Cameron Marlow, MIT Media Lab; Hao Yang, Ford Motor Company
  • Mixed Initiative Interfaces for Learning Tasks: SMARTedit Talks Back
    Steven Wolfman, Tessa Lau, Pedro Domingos, Dan Weld, University of Washington
  • An Integrated Environment for Knowledge Acquisition
    Jim Blythe, Jihie Kim, Surya Ramachandran, Yolanda Gil, USC/ISI

Paper Session IV: Recommending and Searching

  • A Computational Model and Classification Framework for Social Navigation
    Mark O. Riedl, North Carolina State University
  • Implicit Interest Indicators
    Mark Claypool, Phong Le, Makoto Waseda, David Brown, Worcester Polytechnic Institute
  • Community Search Assistant
    Natalie Glance, Xerox Research Centre Europe

Paper Session V: Short Papers

  • An Intelligent User Interface for Mixed-Initiative Multi-Source Travel Planning
    Martin Frank, Maria Muslea, Jean Oh, Steve Minton, Craig Knoblock, USC/ISI
  • Incorporating Tutorial Strategies into an Intelligent Assistant
    Jim R. Davies, Georgia Tech ; Neal Lesh, Charles Rich, Candace L. Sidner, MERL; Abigail S. Gertner, The MITRE Corp; Jeff Rickel, USC/ISI
  • When Policies Are Better Than Plans: Decision-Theoretic Planning of Recommendation Sequences
    Thorsten Bohnenberger, Anthony Jameson, University of Saarbruecken
  • Towards Context-Based Search Engine Selection
    David B. Leake and Ryan Scherle, Indiana University
  • Generating Virtual Camera Compositions
    William Bares, Byungwoo Kim, University of Louisiana at Lafayette

Paper Session VI: Example-Based Intelligent Interfaces

  • Intelligent Profiling by Example
    Sybil Shearin, Henry Lieberman, MIT Media Laboratory
  • Example-based Generation of Custom Data Analysis Appliances
    Mark Derthick and Steven F. Roth, Carnegie Mellon University

Paper Session VII: What's Next?: Navigation, Visualization, & Story Creation

  • A Hybrid Indoor Navigation System
    Andreas Butz, Jörg Baus, Anonio Krüger, Marco Lohse, University of Saarbruecken
  • Intelligent Visualization in a Planning Simulation
    Robert St. Amant, Christopher G. Healey, Mark Riedl, Sarat Kocherlakota, David A. Pegram, Mike Torhola, North Carolina State University
  • Interfaces for Understanding Multi-Agent Behavior
    Pedro Szekely, Craig Milo Rogers, Martin Frank, USIISI
  • Heroes, Villains, Magicians...:Dramatis Personae in a Virtual Story Creation Environment
    Ana Paiva, Isabel Machado and Rui Prada, INESC (Portugal)

Paper Session VIII: Short Papers

  • Modeling User Preferences via Theory Refinement
    Ben Geisler, Vu Ha, University of Wisconsin-Milwaukee; Peter Haddawy, Asian Institute of Technology
  • What Do Users Prefer? A Personalized Intelligent User Interface for Searching Information–An Empirical Study
    Goren-Bar Dina, Kuflik Tsvi, Lavie Tali, Ben-Gurion University
  • Adaptively Constructing the Query Interface for Meta-Search Engines
    Lieming Huang, Thiel Ulrich, Matthias Hemmje, Erich J. Neuhold, German National Research Center for Information Technology
  • XLibris: Automatic Retrieval and Aggregation of Task-Sensitive Information about Physical Objects
    Andrew Crossen, Jay Budzik, Mason Warner, Larry Birnbaum, Kristian, J. Hammond, Northwestern University

back to top  Closing Plenary Address

Achieving Balance in Intelligent User Interfaces
Joe Marks
MERL—-Mitsubishi Electric Research Laboratories

bullet.gif Abstract

Several years ago, I thought that the key to designing effective IUIs was to locate as much intelligence as possible in the computer. As our contribution to this goal, my colleagues and I worked on several projects that were aimed at achieving "graphically articulate computers," i.e., computers that could communicate effectively by designing appropriate and effective graphics automatically. This work was satisfying and fun, and some of it was even useful! However, the notion of making a computer linguistically or graphically articulate has as its fundamental premise the idea that the most useful computers and the most intelligent interfaces will be ones that behave just like us humans. While there is much to be said in favor of this idea, I believe that an alternative viewpoint could be useful.

In more recent work my colleagues and I have focused on the concept of balance in the design of IUIs. In particular, we have designed interfaces for several design and analysis tasks in which both the computer and user are able to contribute the best of their respective intelligences. For example, a powerful searching ability is a computer intelligence; visual pattern recognition and sophisticated planning are strong human intelligences. The hybrid interfaces that result from combining such strengths or intelligences offer a very different experience that users seem to find much more engaging; and for some interfaces we can actually quantify improved performance over more conventional approaches.

January 8-12
SAINT 2001
Symposium on Applications & the Internet

San Diego, CA, USA
Contact: Mike Liu,

February 5-9
WSCG 2001
9th International Conference in Central Europe on Computer Graphics
Visualization & Digital Interactive Media 2001

Plzen, Czech Republic
Contact: Vaclav Skala,

March 5-8
Mensch & Computer
Bad Honnef, Germany (in German)

May 11-14
EHCI 2001 An Interaction Odyssey
The 8th IFIP Working Conference on Engineering for Human-Computer Interaction

Toronto, Canada

March 13-16
DATE 2001
Design, Automation, & Test in Europe Conference & Exhibition

Munich, Germany
Contact: Ahmed Jerraya,

March 18-21
11th IEEE Workshop on Local & Metropolitan Area Networks

Boulder, CO, USA
Contact: Aloke Guha,

March 21-23
International Symposium on Smart Graphics
Hawthorne, NY, USA
Contact: Patrick Olivier,

March 28-30
16th International Conference on Computers & Their Applications

Seattle, WA, USA
Contact: Chih-Cheng

March 31-April 5
CHI 2001. Anyone. Anywhere
Seattle, WA, USA

May 1-5
10th International World Wide Web Conference

Hong Kong
Contact: Mary Ellen Zurko,

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©2001 ACM  1072-5220/01/0100  $5.00

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