Dynamic Simulation of Medical Diagnosis: Learning in the Medical Decision Making and Learning Environment MEDIC

MEDIC is a dynamic decision making simulation incorporating time constraints, multiple and delayed feedback and repeated decisions. This tool was developed to study cognition and dynamic decision making in medical diagnosis. MEDIC allows one to study seve

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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany

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Andreas Holzinger (Ed.)

HCI and Usability for Medicine and Health Care Third Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2007 Graz, Austria, November 22, 2007 Proceedings

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Volume Editor Andreas Holzinger Medical University Graz (MUG) Institute of Medical Informatics, Statistics and Documentation (IMI) Research Unit HCI4MED Auenbruggerplatz 2/V, 8036 Graz, Austria E-mail: [email protected]

Library of Congress Control Number: 2007938906 CR Subject Classification (1998): H.5, D.2, J.3, J.4, K.4 LNCS Sublibrary: SL 2 – Programming and Software Engineering ISSN ISBN-10 ISBN-13

0302-9743 3-540-76804-1 Springer Berlin Heidelberg New York 978-3-540-76804-3 Springer Berlin Heidelberg New York

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2007 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12191642 06/3180 543210

Preface

The work group Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary exchange, research and development. While human–computer interaction brings together psychologists and computer scientists, usability engineering is a discipline within software engineering. It is essential that psychology research must be incorporated into software engineering at a systemic level. The aspect of integration of human factors into informatics is especially important, since i