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This book represents a collection of the classic and contemporary readings in the field of Intelligent User Interfaces. An invaluable resource for students, professors, research sc… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code is needed.
This book represents a collection of the classic and contemporary readings in the field of Intelligent User Interfaces. An invaluable resource for students, professors, research scientists and engineers, it includes both fundamental research and applied innovations in the key areas of IUI including input analysis, output generation, user and discourse adapted interaction, agent-based interaction, model-based interface design, and evaluation.
Editors Maybury and Wahlster, two prominent researchers in the field of Intelligent User Interfaces, offer an introduction to the field along with commentary on each topic. In order to provide a uniquely synergistic view they chose a five person interdisciplinary review board to act as a sounding board for the organization of the book that included paper selection and reviewing commentary for the editors. Each paper concludes with a reflection by the original author on what worked, what did not, and where opportunities remain, as well as commentary on subsequent research and advances since the publication of their work, including important developments and key follow-up publications by the author and others.
Editorial Review Board:Dr. Oliviero Stock, Instituto per la Ricerca Scientifica e Tecnologica (IRST), Trento, ItalyDr. Eduard Hovy, Information Science Institute (ISI), University of Southern CaliforniaDr. Johanna D. Moore, University of PittsburghDr. Steven F. Roth, Robotics Institute, Carnegie Mellon UniversityDr. Sharon Oviatt, Oregon Graduate Institute of Science and Technology
Introduction
I: Multimedia Input Analysis
1.1 "Put-That-There": Voice and Gesture at the Graphics Interface
Bolt, R. A.
1.2 Synergetic Use of Direct Manipulation and Natural Language
Cohen, P. R.; Dalrymple, M.; Moran, D. B.; Pereira, F. C. N.;
Sullivan, J. W.; Gargan Jr, R. A.; Schlossberg, J. L. and Tyler, S. W.
1.3 Natural Language with Integrated Deictic and Graphic Gestures
Neal, J. G.; Thielman, C. Y.; Dobes, Z.; Haller, S. M. and
Shapiro, S. C.
1.4 Integrating Simultaneous Output from Speech, Gaze, and Hand
Gestures
Koons, D. B.; Sparrell, C. J. and Thorisson, K. R.
1.5 The Use of Eye Movement in Human Computer Interaction
Techniques: What you Look at is What you Get
Jacob, R.
II: Multimedia Presentation Design
2.1 Automating the Generation of Coordinated Multimedia Explanations
Feiner, S. K. and McKeown, K. R.
2.2 Planning Multimedia Explanations Using Communicative Acts
Maybury, M. T.
2.3 Plan-based Integration of Natural Language and Graphics
Generation
Wahlster, W.; Andr¦, E.; Finkler, W.; Profitlich H. J. and Rist T.
2.4 Presentation Design Using an Integrated Knowledge Base
Arens, Y.; Miller, L.; and Sondheimer, N. K.
2.5 Automatic Generation of Technical Documentation
Reiter, E.; Mellish, C. and Levine, J.
2.6 The Knowledge Underlying Multimedia Presentations
Arens, Y.; Hovy, E. and Vossers, M.
III: Automated Graphic Design
3.1 Automating the Design of Graphical Presentations of
Relational Information
Mackinlay, J. D.
3.2 Data Characterization for Intelligent Graphics Presentation
Roth, S. F. and Mattis.
3.3 A Task-Analytic Approach to the Automated Design of
Information Graphic Presentations
Casner, S. M.
3.4 Automated Generation of Intent-Based 3D Illustrations
Seligmann, D. and Feiner, S.
3.5 Interactive Graphic Design Using Automatic Presentation
Knowledge
Roth, S. F.; Kolojejchick, J.; Mattis, J. and Goldstein, J.
IV: Automated Layout
4.1 A Grid-Based Approach to Automating Display Layout
Feiner, S. K.
4.2 Automatic Generation of Formatted Text
Hovy, E. and Arens, Y.
4.3 Constraint-Based Graphical Layout of Multimodal
Presentations
Graf, W.
4.4 An Empirical Study of Algorithms for Point Feature
Label Placement
Christensen, J.; Marks, J. and Shieber,S.
4.5 Grammar-based Articulation for Multimedia Document
Design
Weitzman, L. and Wittenburg, K.
V: User and Discourse Modeling
5.1 User Modeling via Stereotypes
Rich, E.
5.2 Intelligent User Interfaces as Agents
Chin, D.
5.3 User and Discourse Models for Multimodal Communication
Wahlster, W.
5.4 KN-AHS: An Adaptive Hypertext Client of the User Modeling
System BGP-MS
Kobsa A.; Mƒller, D. and Nill, A.
5.5 Planning Text For Advisory Dialogues: Capturing Intentional and
Rhetorical Information
Moore, J. D. and Paris, C. L.
5.6 Planning Interactive Explanations
Cawsey, A.
5.7 Natural Language and Exploration of an Information Space: the
AlFresco Interactive System
Stock, O.
5.8 The Application of Natural Language Models to Intelligent
Multimedia
Burger, J. and Marshall, R.
VI: Model Based Interfaces
6.1 Steamer: An Interactive Inspectable Simulation-Based Training
System
Hollan, J.; Hutchins, E. and Weitzman, L.
6.2 Knowledge-Based User Interface Management System
Foley, J.; Gibbs, C.; Kim, W. and Kovacevic, S. A.
6.3 ITS: A Tool for Rapidly Developing Interactive Applications
Wiecha, C.; Bennett, W.; Boies, S.; Gould, J. and Green, S.
6.4 Beyond Interface builders: Model-based interface tools
Szekely, P.; Luo, P. and Neches, R.
6.5 Model Based Automated Generation of User Interfaces
Puerta, A.
6.6 Automatic Generation of a User Interface for Highly Interactive
Business-Oriented Applications
Vanderdonckt, J.
VII: Agent Interfaces
7.1 Agents that Reduce Work and Information Overload
Maes, P.
7.2 Embedding Critics in Design Environments
Fischer, G.; Nakakoji, K.; Ostwald, J.; Stahl, G. and Sumner, T.
7.3 Multimodal Interaction for Distributed Interactive Simulation
Cohen, P.; Johnston, M.; McGee, D.; Oviatt, S.; Pittman, J.; Smith, I.;
Chen, L. and Clow, J.
7.4 Speech Dialogue with Facial Displays: Multimodal Human-Computer
Conversation
Nagao, K. and Takeuchi, A.
7.5 Animated Conversation: Rule-based Generation of Facial Expression,
Gesture and Spoken Intonation for Multiple Conversational Agents
Cassell, J.; Pelachaud, C.; Badler, N.; Steedman, M.; Achorn, B.;
Becket, W.; Douville, B.; Prevost, S. and Stone, M.
VIII: Evaluation
8.1 A Morphological Analysis of the Design Space of Input Devices
Card, S. K.; MacKinlay, J. D. and Robertson, G. G.
8.2 Wizard of Oz Studies - Why and How
Dahlbaeck, N.; Joensson, A. and Ahrenberg, L.
8.3 User-centered Modeling for Spoken Language and Multimodal
Interfaces
Oviatt, S. L.
8.4 PARADISE: A Framework for Evaluating Spoken Dialogue Agents
Walker, M.; Litman, D.; Kamm, C. and Abella, A.
MM
Mark Maybury received his BA in Mathematics from the College of the Holy Cross in 1986 where he was valedictorian. As a Rotary Scholar at Cambridge University, England, he received his M.Phil in Computer Speech and Language Processing in 1987 and his Ph.D. in Artificial Intelligence in 1991. Mark was awarded an MBA from RPI in 1989. He has published in Text Generation, Presentation Design, Text and Multimedia Summarization, Intelligent Multimedia Interfaces, and Multimedia Information Access. He is currently the Deputy Division Manager of the National Intelligence Division, Director of the Bedford Artificial Intelligence Center, and Director of the Advanced Information Systems Center at the MITRE Corporation
WW
Dr. Wolfgang Wahlster received a diploma and doctoral degree in Computer Science from the University of Hamburg, Germany. He is now Professor of Artificial Intelligence and Database Systems and head of the AI Laboratory at the University of Saarbrucken where he currently serves as a Scientific Director of the German Research Center for Artificial Intelligence (DFKI). He has published more than 150 technical papers on man-machine communication. His current research includes intelligent multimodal interfaces, user modeling, natural language scene description, intelligent help systems, and deductive plan recognition speech translation. He is an AAAI Fellow and a recipient of the Fritz Winter Award, one the most prestigious awards for engineering sciences in Germany.