International Conference on Intelligent User Interfaces
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CONFERENCE PROGRAM
Conference at a Glance
COLOR KEY
Welcome
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| Opening Reception and Registration Center Ballroom, Hilton at Walt Disney World Village |
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| Welcoming Remarks Angel Puerta, IUI97 Conference Co-Chair, Stanford University, USA | |
| Plenary Address: Why Are Intelligent User Interfaces Always a Year Away? James Foley, MERL - A Mitsubishi Electric Research Laboratory, USA ![]() Abstract: Transferring intelligent user interface (IUI) research from the university research environment to shrink-wrap or web-ready use seems to take longer than we as researchers would like. Certainly, this is true of my own UIDE work. Why is this? Some reasons are generic, as discussed in my September 1996 CACM article: tech transfer is a contact sport; requires grass-roots efforts; requires rewards which are alien to some academics' values; requires understanding of industry's implementation process; and is facilitated by prototypes implemented for the target language and OS. Other reasons are more specific to intelligent user interfaces: the UI software infrastructure to support IUIs is not in place; maybe IUIs aren't as useful as we like to think they are; maybe IUIs are just too hard to build; and maybe we expect too much of IUIs. In this opening talk, I will outline these issues, striving to provoke controversy and hence discussion. |
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Planning Based Approaches
| Local Plan Recognition in Direct Manipulation Interfaces Annika Wærn, Swedish Institute of Computer Science, Sweden | |
| Interaction with a Mixed-Initiative System for Exploratory Data Analysis Robert St. Amant, North Carolina State University, USA Paul R. Cohen, University of Massachusetts, USA | |
| Segmented Interaction History in a Collaborative Interface Agent Charles Rich, MERL - A Mitsubishi Electric Research Laboratory, USA Candace L. Sidner, Lotus Development Corporation, USA |
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| Direct Manipulation vs. Interface Agents Ben Shneiderman, University of Maryland, USA ![]() Position Statement: I believe that user-controlled direct manipulation has the most viable philosophy for the design of advanced user interfaces. Users want comprehensible, predictable and controllable interfaces that offer end-user programming, control panels, style sheets, and effective dialog boxes. Overviews for visibility of the world of action, combined with rapid, incremental filtering and zooming offer appealing opportunities for designers. The dynamic queries strategies with starfield, treemap, cone-tree, LifeLines, network or other information visualizations will enable designers to create appealing information-abundant interfaces. Pattie Maes, MIT Media Laboratory, USA ![]() Position Statement: Software agents will bring about a revolution in the way we interact with computers. Agents differ from traditional software in that they are personalized, proactive, long-lived and adaptive. The current dominant metaphor of direct manipulation will be augmented by agents actively assisting the user -- to use Alan Kay's words human-computer interaction as "indirect management". This change in interaction is needed because the personal computer is no longer a tool used in isolation, but rather a window onto a vast and dynamic world of people and information.. |
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Interface Agents
| The Selection Recognition Agent: Instant Access to Relevant Information and
Operations Milind S. Pandit and Sameer Kalbag, Intel Architecture Laboratories, USA | |
| Using Agents to Personalize the Web Christoph G. Thomas, GMD FIT, Germany Gerhard Fischer, University of Colorado at Boulder, USA | |
| Multimodal User Interfaces in the Open Agent Architecture Douglas B. Moran, Adam J. Cheyer, Luc E. Julia, David L. Martin, SRI International, USA Sangkyu Park, Electronics and Telecommunications Research Institute (ETRI), Korea |
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| An Adaptive Short List for Documents on the World Wide Web Matjaz Debevc, University of Maribor, Slovenia Beth Meyer, Georgia Institute of Technology, USA Rajko Svecko, University of Maribor, Slovenia | |
| An Interface Agent for Nonroutine Tasks Yuzo Fujishima, NEC Corporation, Japan | |
| An Interface for Collaborative and Coached Approaches to Learning Critical Inquiry Dan Suthers and the Advlearn Project, University of Pittsburgh, USA | |
| Automating a Classification Task Based on an Augmented Thesaurus Eunok Paek and Hye-Jeong Jeon, LG Electronics Research Center, Korea | |
| Easing Interaction through User Awareness Alain Karsenty, Eurecom Institut, France | |
| Individual User Interfaces and Model Based User Interface Software Tools Egbert Schlungbaum, University of Rostock, Germany | |
| Inductive Task Modeling for User Interface Customization David Maulsby, Stanford University, USA | |
| Intelligent Network News Reader Hitoshi Isahara and Hiromi Ozaku, Communications Research Laboratory, Japan | |
| Intelligent Word-Prediction to Enhance Text Input Rate (A Syntactic Analysis-Based
Word-Prediction Aid for People with Severe Motor and Speech Disability) Nestor Garay-Vitoria and Julio Gonzalez-Abascal, University of the Basque Country, Spain | |
| Interactive Model-Based Coding for Face Metaphor User Interface in Network
Communications Kazuo Ohzeki, Telecommunications Advancement Organization, Japan Takahiro Saito, Kanagawa University, Japan Masahide Kaneko and Hiroshi Harashima, The University of Tokyo, Japan | |
| Management of Interface Design Knowledge with MOBI-D Angel Puerta and David Maulsby, Stanford University, USA | |
| Providing User Support for Interactive Applications with FUSE Frank Lonczewski, Munich University of Technology, Germany | |
| Response Model of CG Character Based on Timing of Interactions in a Multi-modal
Human Interface Kenji Sakamoto, Haruo Hinode, Keiko Watanuki, Susumu Seki, Jiro Kiyama and Fumio Togawa, SHARP Corporation, Japan | |
| The Stick-e Note Architecture: Extending the Interface Beyond the User Jason Pascoe, University of Kent at Canterbury, United Kingdom | |
| Wizards, Guides, and Beyond: Rational and Empirical Methods for Selecting Optimal
Intelligent User Interface Agents D. Christopher Dryer, IBM, USA |
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Presentation Aids / Coordination
| Generating Web-Based Presentations in Spatial Hypertext Frank M. Shipman III, Richard Furuta and Catherine C. Marshall , Texas A&M University, USA | |
| Adding Animated Presentation Agents to the Interface Thomas Rist, Elisabeth André and Jochen Müller, German Research Center for Artificial Intelligence (DFKI), Germany | |
| Dynamic Dramatization of Multimedia Story Presentations Nikitas M. Sgouros, George Papakonstantinou, Panagiotis Tsanakas , National Technical University of Athens, Greece |
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I/O Support / Spatial awareness
| Description and Recognition Methods for Sign Language Based on Gesture Components Hirohiko Sagawa, Masaru Takeuchi and Masaru Ohki, Hitachi Central Research Laboratory, Japan | |
| Haptic Output in Multimodal User Interfaces Stefan Münch and Rüdiger Dillmann, University of Karlsruhe, Germany | |
| Helping Users Think in Three Dimensions: Steps Toward Incorporating Spatial
Cognition in User Modeling Michael Eisenberg, Ann Nishioka and M. E. Schreiner, University of Colorado, USA |
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Computational Approaches To Interface Design: What Works, What Doesn't, What Should, and What Might
| Organizer: Chris Miller, Honeywell Technology Center, USA | |
| Panelists: Kevin Corker, NASA Ames Research Center, USA Mark Maybury, MITRE Corporation, USA Chris Miller, Honeywell Technology Center, USA Angel Puerta, Stanford University, USA | |
| Panel Statement: Tools which make use of computational processes-- mathematical, algorithmic and/or knowledge-based-- to perform portions of the design, evaluation and/or construction of interfaces have become increasingly available and powerful. Nevertheless, there is little agreement as to the appropriate role for a computational tool to play in the interface design process. Current tools fall into broad classes depending on which portions, and how much, of the design process they automate. The purpose of this panel is to review and generalize about computational approaches developed to date, discuss the tasks which for which they are suited, and suggest methods to enhance their utility and acceptance. Panel participants represent a wide diversity of application domains and methodologies. This should provide for lively discussion about implementation approaches, accuracy of design decisions, acceptability of representational tradeoffs and the optimal role for a computational tool to play in the interface design process. |
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Automation of Presentations
| Top-Down Hierarchical Planning of Coherent Visual Discourse Michelle X. Zhou and Steven K. Feiner, Columbia University, USA | |
| Declarative Models of Presentation Pablo Castells, Universidad Autonoma de Madrid, Spain Pedro Szekely, Information Sciences Institute, USA Ewald Salcher, Graz University of Technology, Austria | |
| Task-based Approach to Multimedia Presentation Stephan Kerpedjiev, Carnegie Mellon University, USA Giuseppe Carenini, University of Pittsburgh, USA Steven Roth, Carnegie Mellon University, USA Johanna Moore, University of Pittsburgh, USA |
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Applications
| The Pedagogical Design Studio: Exploiting Artifact-Based Task Models for
Constructivist Learning James C. Lester, Patrick J. FitzGerald and Brian A. Stone, North Carolina State University, USA | |
| Some Interface Issues in Developing Intelligent Communication Aids for People with
Disabilities Kathleen F. McCoy, Patrick Demasco, and Christopher Pennington, University of Delaware and A.I. duPont Institute Hospital for Children Arlene L. Badman, Prentke Romich Company |
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Compelling Intelligent User Interfaces: How Much AI is Enough?
| Organizer: Joe Marks, MERL - A Mitsubishi Electric Research Laboratory, USA | |
| Panelists Larry Birnbaum, Institute for Learning Sciences, USA Eric Horvitz, Microsoft, USA David Kurlander, Microsoft, USA Henry Lieberman, MIT Media Lab, USA Steve Roth, Carnegie Mellon University, USA | |
| Panel Statement: Efforts to incorporate intelligence into the user interface have been underway for decades, but the commercial impact of this work has not lived up to early expectations, and is not immediately apparent. This situation appears to be changing. However, so far the most interesting intelligent user interfaces (IUIs) have tended to use minimal or simplistic AI. In this panel we consider whether more or less AI is the key to the development of compelling IUIs. The panelists will present examples of compelling IUIs that use a selection of AI techniques, mostly simple, but some complex. Each panelist will then comment on the merits of different kinds and quantities of AI in the development of pragmatic interface technology. |
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Web / Hypermedia
| Evaluating the Utility and Usability of an Adaptive Hypermedia System Kristina Höök, Swedish Institute of Computer Science, Sweden | |
| Multi-level User Support through Adaptive Hypermedia: A Highly
Application-Independent Help Component L. Miguel Encarnação, University of Tübingen, Germany | |
| Decision Making in Intelligent User Interfaces Constantine Stephanidis, Charalampos Karagiannidis and Adamantios Koumpis, Foundation for Research and Technology - Hellas (ICS-FORTH), Greece |
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| Closing Remarks: Introducing the next IUI Conference Ernest Edmonds, IUI97 Conference Co-Chair, Loughborough University of Technology, United Kingdom | |
| Plenary Address: What Makes an Intelligent User Interface Intelligent? Doug Riecken, Bell Laboratories, USA ![]() Abstract: In this talk, I wish to consider and examine both current research and state-of-the-art technologies applied in advancing human-computer interaction. With a focus on user interfaces, a critical question will be addressed. What makes an Intelligent User Interface (IUI) intelligent? This question provides two distinct venues of investigation. First, the implications of a user's "human intelligence" as applied in a set of dialogs and goal directed tasks performed collectively by both a user and a computer. Second, the potential ability for "computers" to perform in such a manner that they elicit users to interpret a computer's actions as providing a type of "conscious" behavior. The essence of this investigation will attempt to determine: "where is the intelligence?" |
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