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AVI 2006

Advanced Visual Interfaces

Venezia, Italy
May 23-26, 2006

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Tutorials

AVI 2006 will host two full day tutorials on May 23, 2006.

Intelligent Visual Interfaces: An Introduction

Dr. Mark Maybury, Information Technology Center, The MITRE Corporation

Intelligent visual 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 visual 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. Drawing upon material from the Readings in Intelligent User Interfaces (IUI) (Maybury and Wahlster, 1998) and augmented with more recently published results, this tutorial will define terms, outline the history, describe key subfields, and exemplify and demonstrate intelligent visual interfaces in action.

Biography. Dr. Mark Maybury is Executive Director of MITRE's Information Technology Division. Mark also serves as Executive Director of ARDA's Northeast Regional Research Center (nrrc.mitre.org). Mark has published over sixty refereed articles. He is editor of Intelligent Multimedia Interfaces (AAAI/MIT Press 1993), Intelligent Multimedia Information Retrieval (AAAI/ MIT Press 1997), New Directions in Question Answering (AAAI/ MIT Press 2004), co-editor of Readings on Intelligent User Interfaces (Morgan Kaufmann Press 1998), Advances in Text Summarization (MIT Press 1999), Advances in Knowledge Management (MIT Press 2001) and Personalized Digital Television (Kluwer Academic, 2004), and co-author of Information Storage and Retrieval (Kluwer Academic 2000). Dr. Maybury is a graduate of the College of the Holy Cross and Cambridge University, England.

Statistics for Visual Interface Evaluation

Monique Noirhomme- Fraiture, Institute of Informatics, University of Namur

The design of new visual interfaces needs the use of experiments in order to test or compare the quality of the proposed interfaces. An important task is the analysis of the experiment results. As we have noticed in publications, in this kind of experimentation, the number of observations is relatively small. Data analysis cannot be used in this case, but inferential statistics represent an appropriate tool. The goal of the tutorial is to explain the basic principles of inferential statistics with application to tests which are particularly useful in visual interface evaluation: comparison of different methods or types of users and identification of relevant factors. The main focus will be on analysis of variance and on non-parametric statistics. Many examples in visual interface evaluation will illustrate the methods. Attention will be drawn on the test hypotheses.

Biography. Monique Noirhomme-Fraiture holds a PhD in Mathematics and is a Professor at the Informatics Institute of Namur University. She has been teaching Probability and Statistics, as well as Data Analysis to students in Computer Science since the beginning of her carreer. She also teaches Human Computer Interaction. She has supervised theses and research works in these different fields. She has participated to several European projects in data mining, particularly in Symbolic Data Analysis. She is responsible for the DESTINE project for automatic evaluation of interface. With her team and students, she has used many statistical tests for evaluation of visual interface, in particular on mobile phones and PDAs.