Conference Program the 34Th Annual CHI Conference on Human Factors in Computing Systems San Jose Convention Center SCHEDULE of EVENTS
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UC Berkeley UC Berkeley Electronic Theses and Dissertations
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Perceptual and Context Aware Interfaces on Mobile Devices Permalink https://escholarship.org/uc/item/7tg54232 Author Wang, Jingtao Publication Date 2010 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Perceptual and Context Aware Interfaces on Mobile Devices by Jingtao Wang A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California, Berkeley Committee in charge: Professor John F. Canny, Chair Professor Maneesh Agrawala Professor Ray R. Larson Spring 2010 Perceptual and Context Aware Interfaces on Mobile Devices Copyright 2010 by Jingtao Wang 1 Abstract Perceptual and Context Aware Interfaces on Mobile Devices by Jingtao Wang Doctor of Philosophy in Computer Science University of California, Berkeley Professor John F. Canny, Chair With an estimated 4.6 billion units in use, mobile phones have already become the most popular computing device in human history. Their portability and communication capabil- ities may revolutionize how people do their daily work and interact with other people in ways PCs have done during the past 30 years. Despite decades of experiences in creating modern WIMP (windows, icons, mouse, pointer) interfaces, our knowledge in building ef- fective mobile interfaces is still limited, especially for emerging interaction modalities that are only available on mobile devices. This dissertation explores how emerging sensors on a mobile phone, such as the built-in camera, the microphone, the touch sensor and the GPS module can be leveraged to make everyday interactions easier and more efficient. -
Focus+Context Sphere Visualization for Interactive Large Graph Exploration
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in: Du, F., Cao, N., Lin, Y.-R., Xu, P., Tong, H. (2017). iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2017) http://doi.org/10.1145/3025453.3025628 iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration Fan Du Nan Cao Yu-Ru Lin University of Maryland Tongji University University of Pittsburgh [email protected] [email protected] [email protected] Panpan Xu Hanghang Tong Hong Kong University of Arizona State University Science and Technology [email protected] [email protected] a b c Figure 1. The node-link diagram shown in (a) the zoomable plane and the focus+context displays, (b) hyperbolic display and (c) iSphere display. ABSTRACT Author Keywords Interactive exploration plays a critical role in large graph visu- Graph visualization; graph exploration; focus+context. alization. Existing techniques, such as zoom-and-pan on a 2D plane and hyperbolic browser facilitate large graph exploration ACM Classification Keywords by showing both the details of a focal area and its surrounding H.5.2 User Interfaces: Graphical user interfaces (GUI) context that guides the exploration process. However, existing techniques for large graph exploration are limited in either INTRODUCTION providing too little context or presenting graphs with too much Interactive exploration is one of the major approaches for nav- distortion. -
A Model of Inheritance for Declarative Visual Programming Languages
An Abstract Of The Dissertation Of Rebecca Djang for the degree of Doctor of Philosophy in Computer Science presented on December 17, 1998. Title: Similarity Inheritance: A Model of Inheritance for Declarative Visual Programming Languages. Abstract approved: Margaret M. Burnett Declarative visual programming languages (VPLs), including spreadsheets, make up a large portion of both research and commercial VPLs. Spreadsheets in particular enjoy a wide audience, including end users. Unfortunately, spreadsheets and most other declarative VPLs still suffer from some of the problems that have been solved in other languages, such as ad-hoc (cut-and-paste) reuse of code which has been remedied in object-oriented languages, for example, through the code-reuse mechanism of inheritance. We believe spreadsheets and other declarative VPLs can benefit from the addition of an inheritance-like mechanism for fine-grained code reuse. This dissertation first examines the opportunities for supporting reuse inherent in declarative VPLs, and then introduces similarity inheritance and describes a prototype of this model in the research spreadsheet language Forms/3. Similarity inheritance is very flexible, allowing multiple granularities of code sharing and even mutual inheritance; it includes explicit representations of inherited code and all sharing relationships, and it subsumes the current spreadsheet mechanisms for formula propagation, providing a gradual migration from simple formula reuse to more sophisticated uses of inheritance among objects. Since the inheritance model separates inheritance from types, we investigate what notion of types is appropriate to support reuse of functions on different types (operation polymorphism). Because it is important to us that immediate feedback, which is characteristic of many VPLs, be preserved, including feedback with respect to type errors, we introduce a model of types suitable for static type inference in the presence of operation polymorphism with similarity inheritance. -
Introduction to Information Visualization.Pdf
Introduction to Information Visualization Riccardo Mazza Introduction to Information Visualization 123 Riccardo Mazza University of Lugano Switzerland ISBN: 978-1-84800-218-0 e-ISBN: 978-1-84800-219-7 DOI: 10.1007/978-1-84800-219-7 British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2008942431 c Springer-Verlag London Limited 2009 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publish- ers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer Science+Business Media springer.com To Vincenzo and Giulia Preface Imagine having to make a car journey. Perhaps you’re going to a holiday resort that you’re not familiar with. -
Women's Soccer Awards
WOMEN’S SOCCER AWARDS All-America Teams 2 National Award Winners 15 ALL-AMERICA TEAMS NOTE: From 1980-85, the National D–Karen Gollwitzer, SUNY Cortland D–Karen Nance, UC Santa Barbara M–Amanda Cromwell, Virginia Soccer Coaches Association of D–Lori Stukes, Massachusetts D–Kim Prutting, Connecticut M–Linda Dorn, UC Santa Barbara America (NSCAA) selected one F–Pam Baughman, George Mason D–Shelley Separovich, Colorado Col. M–Jill Rutten, NC State All-America team that combined all F–Bettina Bernardi, Texas A&M D–Carla Werden, North Carolina F–Brandi Chastain, Santa Clara three divisions. Starting in 1986, Division III selected its own team, F–Moira Buckley, Connecticut F–Michelle Akers, UCF F–Lisa Cole, SMU but Divisions I and II continued to F–Stacey Flionis, Massachusetts F–Joy Biefeld, California F–Mia Hamm, North Carolina select one team. Starting in 1988, F–Lisa Gmitter, George Mason F–Shannon Higgins, North Carolina F–Kristine Lilly, North Carolina all three divisions selected their 1984 F–April Kater, Massachusetts F–April Kater, Massachusetts own teams. Soccer America started F–Jennifer Smith, Cornell NSCAA 1991 selecting a team in 1988, which SOCCER AMERICA included all divisions. Beginning in G–Monica Hall, UC Santa Barbara NSCAA 1990, the team was selected from D–Suzy Cobb, North Carolina D–Lisa Bray, William Smith G–Heather Taggart, Wisconsin only Division I schools. NSCAA and D–Leslie Gallimore, California D–Linda Hamilton, NC State D–Holly Hellmuth, Massachusetts was rebranded as United Soccer D–Liza Grant, Colorado Col. D–Lori Henry, North Carolina M–Cathleen Cambria, Connecticut Coaches in 2017. -
Setting Fire to Imaginations
Across the SPRING/ THE FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES SUMMER 2015 Setting fire to imaginations Legendary scientist Harold Kroto looks back on 10 years at FSU and a career spent inspiring others artsandsciences.fsu.edu SPRING/SUMMER 2 0 1 5 • 1 Letter from the dean he 2014-2015 academic year came to a close in early May with commencement exercises and hearty celebrations. As the weather began its transition from spring to the familiar warmth and humidity of a Tallahassee summer, the campus geared up for the start of summer sessions Photo by FSU Photo Lab Photo FSU by Photo and orientation of incoming freshmen. During the past year, Florida State welcomed a new T president, alumnus John Thrasher (B.S. Business, ’65, J.D., ’70) and formally launched DEAN PUBLISHER “Raise The Torch: The Campaign for Florida State University.” We proudly recognized the Sam Huckaba Nancy Smilowitz numerous academic achievements of both students and faculty, while celebrating another year of athletic success highlighted by a national championship for the women’s soccer team. EDITOR DESIGNER Barry Ray Martin Young In this edition of Across the Spectrum we visit with Harry Kroto, Nobel laureate and professor of [email protected] [email protected] chemistry, who has spent the past decade building a special legacy at FSU. As Harry nears retirement, PHOTOGRAPHER CONTRIBUTING EDITOR he and his colleagues reflect on his active career. A companion article reviews the career of our newest Ray Stanyard Lois Hawkes, Senior Associate Dean Lawton Professor, nuclear physicist Mark Riley. It is fitting to honor both in the same issue, as they [email protected] are part of the British Invasion. -
Escalabilidad Y Uso De Técnicas Foco+Contexto En Atlas Médicos 3D
Escalabilidad y Uso de T´ecnicas Foco+Contexto en Atlas M´edicos 3D Trabajo de Tesis presentado al Departamento de Ingenier´ıa de Sistemas y Computaci´on por Oscar Ariza Asesor: Pablo Figueroa Ph.D. Para optar al t´ıtulo de Maestr´ıa en Ingenier´ıa de Sistemas Facultad de Ingenier´ıa - Departamento de Ingenier´ıa de Sistemas y Computaci´on Universidad de Los Andes Julio 2006 Escalabilidad y Uso de T´ecnicas Foco+Contexto en Atlas M´edicos 3D Aprobado por: Pablo Figueroa Ph.D., Asesor Jos´eTiberio Hern´andez Ph.D. Gabriel Ma˜nana Ph.D.c Fecha de Aprobaci´on Tr`es bon les gˆateaux d’avoine... Merci petit pingouin! iii Reconocimientos Este trabajo cont´ocon el apoyo financiero y acad´emico de la Facultad de Medi- cina de la Universidad de Los Andes, especialmente del profesor Gustavo Valbuena M.D. Ph.D. quien aport´osus conocimientos y experiencia sobre anatom´ıa y fisiolog´ıa del ri˜n´on humano, sobre software educativo para medicina y sobre los requerimien- tos, necesidades y caracter´ısticas que deb´ıan ser tratados en el proyecto. Gabriel Mart´ınez y Santiago Leal, estudiantes de Facultad de Artes de la Univer- sidad de Los Andes, colaboraron con el dise˜no e implementaci´on de los modelos anat´omicos del ri˜n´on humano que conformaron el contenido 3D del proyecto. iv Resumen Este trabajo muestra los esfuerzos realizados alrededor de la construc- ci´on de un ambiente interactivo con integraci´on de contenidos 3D y 2D, permitiendo explorar jerarqu´ıas de objetos tridimensionales a diferentes niveles de detalle. -
IAT 355 Visual Analytics Space: View Transformations
IAT 355 Visual Analytics Space: View Transformations Lyn Bartram So much data, so little space: 1 • Rich data (many dimensions) • Huge amounts of data • Overplotting [Few] • patterns and relations across sets • Visual fragmentation • Decoding too many different visual forms IAT 355 | View transformations 2 Recall: Dimensional division • “splitting” dimensions across multiple linked views • Small multiples • Trellis displays • Scatterplot matrices IAT 355 | View transformations 3 Small multiples • use the same basic graphic or chart to display difference slices of a data set • rich, multi-dimensional data without trying to cram all that information into a single, overly-complex chart. • Singular design reduces decoding effort. • E. Tufte “The Visual Display of Quantitative Information,” p. 42 and “Envisioning Information,” p. 29 IAT 355 | View transformations 4 Small multiples IAT 355 | View transformations 5 Small multiples • Small multiples to convey n-dims. IAT 355 | View transformations 6 Horizon graphs IAT 355 | View transformations 7 Trellis plots IAT 355 | View transformations 8 Scatter plot matrices IAT 355 | View transformations 9 Multiple Views • “Guidelines for Using Multiple Views in Information Visualization” • Baldonado, Woodruff and Kichinsky AVI 00 IAT 355 | View transformations 10 Multiple Views: 8 Guidelines • Rule of Diversity: • Use multiple views when there is a diversity of attributes • Rule of Complementarity: • Multiple views should bring out correlations and/or disparities • Rule of Decomposition: “Divide and conquer”. • Help users visualize relevant chunks of complex data • Rule of Parsimony: • Use multiple views minimally IAT 355 | View transformations 11 8 Guidelines Cont’d • Rule of Space/Time Resource • Optimization: Balance spatial and temporal benefits of presenting and using the views • Rule of Self Evidence: • Use cues to make relationships apparent. -
Information Visualization Primer December 6, 2011 (Information) Visualization
CS 53000 Introduction to Scientific Visualization Information Visualization Primer December 6, 2011 (Information) Visualization Problem: • HUGE Datasets: How to understand them? Solution • Take better advantage of human perceptual system • Convert information into a graphical representation. Issues • How to convert abstract information into graphical form? • Do visualizations do a better job than other methods? CS530CS - Introduction53000 - Introduction to Scientific to Scientific Visualization Visualization - 12/06/2011 Visualization Success Stories CS530CS - Introduction53000 - Introduction to Scientific to Scientific Visualization Visualization - 12/06/2011 The Power of Visualization 1. Start out going Southwest on ELLSWORTH AVE Towards BROADWAY by turning right. 2: Turn RIGHT onto BROADWAY. 3. Turn RIGHT onto QUINCY ST. 4. Turn LEFT onto CAMBRIDGE ST. 5. Turn SLIGHT RIGHT onto MASSACHUSETTS AVE. 6. Turn RIGHT onto RUSSELL ST. CS530CS - Introduction53000 - Introduction to Scientific to Scientific Visualization Visualization - 12/06/2011 The Power of Visualization Line drawing tool by Maneesh Agrawala http://graphics.stanford.edu/~maneesh/ CS530CS - Introduction53000 - Introduction to Scientific to Scientific Visualization Visualization - 12/06/2011 London Subway www.londontransport.co.uk/tube CS530CS - Introduction53000 - Introduction to Scientific to Scientific Visualization Visualization - 12/06/2011 From E. Tufte The Visual Display of Napolean’s MarchQuantitative Information Minard graphic size of army latitude temperature direction longitude -
2005 Media Guide
F L O R I D A S T A T E U N I V E R S I T Y 1 TABLE OF CONTENTS MEDIA INFORMATION Seminole Soccer Complex................ 55 SUPPORTING OUR ATHLETES Team Photo ....................................... 1 This Is ACC Soccer .......................... 56 Support Staff ................................... 91 Table of Contents .............................. 2 Endowed Scholarships ..................... 57 Training Room ................................. 92 Quick Facts ....................................... 3 Nations Premiere Program ............... 58 Strength & Conditioning .................. 93 Media Information.............................. 4 This Is Florida State......................... 62 Academics....................................... 94 Roster/Breakdown ............................ 6 This Is Tallahassee .......................... 66 Support Staff ................................... 95 Photo Roster ..................................... 7 This Is The ACC ............................... 68 Student Services ............................. 96 Season Outlook ................................. 8 Community Service .......................... 97 OPPONENT INFORMATION Compliance ..................................... 98 COACHING STAFF Opponents ....................................... 69 Coaching Staff ................................. 11 Opponent Summary .......................... 70 Mark Krikorian ................................. 12 ACC Opponents ............................... 71 MEDIA GUIDE CREDITS The 2005 Seminole Soccer Krikorian Q&A ................................. -
Lecture 11: Navigation Information Visualization CPSC 533C, Fall 2007
Lecture 11: Navigation Information Visualization CPSC 533C, Fall 2007 Tamara Munzner UBC Computer Science 17 October 2007 Readings Covered Ware, Chap 10: Interacting With Visualizations (2nd half) Tufte, Chap 2: Macro/Micro Space-Scale Diagrams: Understanding Multiscale Interfaces George Furnas and Ben Bederson, Proc SIGCHI 95. Smooth and Efficient Zooming and Panning. Jack J. van Wijk and Wim A.A. Nuij, Proc. InfoVis 2003, p. 15-22 OrthoZoom Scroller: 1D Multi-Scale Navigation. Catherine Appert and Jean-Daniel Fekete. Proc. SIGCHI 06, pp 21-30. Further Reading Speed-Dependent Automatic Zooming for Browsing Large Documents Takeo Igarashi and Ken Hinckley, Proc. UIST 00, pp. 139-148. Pad++: A Zooming Graphical Interface for Exploring Alternate Interface Physics Ben Bederson, and James D Hollan, Proc UIST 94. Rapid Controlled Movement Through a Virtual 3D Workspace Jock Mackinlay, Stuart Card, and George Robertson. Proc SIGGRAPH ’90, pp 171-176. Effective View Navigation, George W. Furnas, Proc. SIGCHI 97, pp. 367-374 Critical Zones in Desert Fog: Aids to Multiscale Navigation, Susanne Jul and George W. Furnas, Proc. UIST 98 Design Guidelines for Landmarks to Support Navigation in Virtual Environments Norman G. Vinson, Proc. SIGCHI 99. Tuning and testing scrolling interfaces that automatically zoom Andy Cockburn, Joshua Savage, Andrew Wallace. Proc CHI 05. What Kind of Motion? I rigid I rotate/pan/zoom I easy to understand I object shape static, positions change I morph/change/distort I object evolves I beating heart, thunderstorm, walking -
Thesisdanielvelasquez 1.Pdf
Abstract Over the last decade, researchers have been interested in personalised recommender sys- tems as they have detected the many profitable applications they have. As a direct effect many algorithms and different techniques have been developed, some of them combining user and item categorisation techniques. The purpose of this work is to bring the capabilities of such sys- tems to the context of museums and art galleries and combine them with advanced visualisation techniques. This will be done in order to help the users to explore a large dataset of European artworks from the 11th until the 19th century while taking advantage of a recommendation engine that will help them finding interesting artworks rapidly. To pursue the aforementioned goals, an existing application that already contains such advanced visualisation techniques and the dataset has been enhanced with recommendation capabilities. The recommendations are based on semantic user profiling techniques extracted unobtrusively from users. Using semantic user profiling to provide recommendations enables the possibility to have a hybrid recommendation algorithm with content-based and collaborative features. The rec- ommendation algorithm extracts the preferences from users through their interactions with the system and uses them to find related content that might be interesting for the user. An offline experiment has been conducted in order to assess the relative accuracy of the recommendations and the user categorisation based on semantic user profiling. The offline experiment reveals the advantages of combining such techniques and shows promise on a theoretical level on how to bring recommendations in such a restricted and relatively scarcely explored environment like the applications for museums and art galleries.