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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. -
20 Years of Four HCI Conferences: a Visual Exploration
INTERNATIONAL JOURNAL OF HUMAN–COMPUTER INTERACTION, 23(3), 239–285 Copyright © 2007, Lawrence Erlbaum Associates, Inc. HIHC1044-73181532-7590International journal of Human–ComputerHuman-Computer Interaction,Interaction Vol. 23, No. 3, Oct 2007: pp. 0–0 20 Years of Four HCI Conferences: A Visual Exploration 20Henry Years et ofal. Four HCI Conferences Nathalie Henry INRIA/LRI, Université Paris-Sud, Orsay, France and the University of Sydney, NSW, Australia Howard Goodell Niklas Elmqvist Jean-Daniel Fekete INRIA/LRI, Université Paris-Sud, Orsay, France We present a visual exploration of the field of human–computer interaction (HCI) through the author and article metadata of four of its major conferences: the ACM conferences on Computer-Human Interaction (CHI), User Interface Software and Technology, and Advanced Visual Interfaces and the IEEE Symposium on Information Visualization. This article describes many global and local patterns we discovered in this data set, together with the exploration process that produced them. Some expected patterns emerged, such as that—like most social networks— coauthorship and citation networks exhibit a power-law degree distribution, with a few widely collaborating authors and highly cited articles. Also, the prestigious and long-established CHI conference has the highest impact (citations by the others). Unexpected insights included that the years when a given conference was most selective are not correlated with those that produced its most highly referenced arti- cles and that influential authors have distinct patterns of collaboration. An interest- ing sidelight is that methods from the HCI field—exploratory data analysis by information visualization and direct-manipulation interaction—proved useful for this analysis. -
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. -
Why Does This Suck? Information Visualization
why does this suck? Information Visualization Jeffrey Heer UC Berkeley | PARC, Inc. CS160 – 2004.11.22 (includes numerous slides from Marti Hearst, Ed Chi, Stuart Card, and Peter Pirolli) Basic Problem We live in a new ecology. Scientific Journals Journals/personJournals/person increasesincreases 10X10X everyevery 5050 yearsyears 1000000 100000 10000 Journals 1000 Journals/People x106 100 10 1 0.1 Darwin V. Bush You 0.01 Darwin V. Bush You 1750 1800 1850 1900 1950 2000 Year Web Ecologies 10000000 1000000 100000 10000 1000 1 new server every 2 seconds Servers 7.5 new pages per second 100 10 1 Aug-92 Feb-93 Aug-93 Feb-94 Aug-94 Feb-95 Aug-95 Feb-96 Aug-96 Feb-97 Aug-97 Feb-98 Aug-98 Source: World Wide Web Consortium, Mark Gray, Netcraft Server Survey Human Capacity 1000000 100000 10000 1000 100 10 1 0.1 Darwin V. Bush You 0.01 Darwin V. Bush You 1750 1800 1850 1900 1950 2000 Attentional Processes “What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention, and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” ~Herb Simon as quoted by Hal Varian Scientific American September 1995 Human-Information Interaction z The real design problem is not increased access to information, but greater efficiency in finding useful information. z Increasing the rate at which people can find and use relevant information improves human intelligence. Amount of Accessible Knowledge Cost [Time] Information Visualization z Leverage highly-developed human visual system to achieve rapid understanding of abstract information. -
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. -
Ecology, Economics, and Logics of Information Visualization
Campolo 1 White-Collar Foragers Draft 10/17/2014 White-Collar Foragers: Ecology, Economics, and Logics of Information Visualization I. Introduction At the intersection of technological change and economic growth there is no measure more important than productivity. Defined as the ratio of output to input, productivity tracks the efficiency of labor. Increases in productivity allow us to produce more from less, leading to rising in standards of living. Productivity growth is used implicitly and explicitly as a justification for interventions in markets, governance, law, education, and many other social fields. In this essay I show how computers and information visualization reconfigured the concept of productivity to fit emerging modes of knowledge work in the late 1980s and early 1990s. I describe the historical emergence of information visualization as a field of computer research, focusing specifically on Information Foraging Theory, a model for visual human- computer interaction. Information Foraging Theory drew on analogies from ecology, psychology, and economics and helped clarify the relationship between computers and productivity in three specific ways: it adapted neoclassical economic categories of scarcity and utility to the domain of information; it incorporated creative, non-mechanistic frameworks of human-computer interaction (HCI); and, through ecological analogy, it grounded adaptive models of knowledge work in economic values of maximization and efficiency. Information Foraging Theory redefined white-collar workers as “informavores” who forage in graphical information environments to produce meaning and value. This historical transformation of productivity was not simply descriptive; it actively defined categories, models, and practices of Campolo 2 White-Collar Foragers Draft 10/17/2014 knowledge work. -
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 -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Contemporary Data Visualization: A Cultural History and Close Readings Permalink https://escholarship.org/uc/item/8vs4b9w1 Author Zepel, Tara Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Contemporary Data Visualization: A Cultural History and Close Readings A Dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Art History, Theory and Criticism by Tara Zepel Committee in charge: Professor Lev Manovich, Co-Chair Professor Peter Lunenfeld, Co-Chair Professor Benjamin Bratton Professor William N. Bryson Professor James Hollan Professor Elizabeth Losh 2018 © Copyright Tara Zepel, 2018 All rights reserved. Signature Page The Dissertation of Tara Zepel is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Co-Chair University of California, San Diego 2018 iii TABLE OF CONTENTS Signature Page ............................................................................................................. iii Table of Contents ......................................................................................................... iv Table of Figures ........................................................................................................... vii Vita................................................................................................................................ -
Information Visualization
NAHUM GERSHON, STEPHEN G. EICK AND STUART CARD design RVI/Rutt Video Interactive Attract Loop Sequence Information Visualization Introduction Visualization provides an interface between two powerful information processing sys- tems—the human mind and the modern computer. Visualization is the process of transforming data, information, and knowledge into visual form making use of humans’ natural visual capabilities. With effective visual interfaces we can interact with large volumes of data rapidly and effectively to discover hidden characteristics, pat- terns, and trends. In our increasingly information-rich society, research and develop- ment in visualization has fundamentally changed the way we present and understand Vinteractions...march + april 1998 9 large complex data sets. The widespread and areas [10–12, 14]. Information visualization fundamental impact of visualization has led to [6, 14] combines aspects of scientific visual- new insights and more efficient decision ization, human–computer interfaces, data making. mining, imaging, and graphics. In contrast to Much of the previous research in visualiza- most scientific data [9], information visualiza- tion was driven by the scientific community tion focuses on information, which is often in its efforts to cope with the huge volumes of abstract. In many cases information is not scientific data being collected by scientific automatically mapped to the physical world instruments or generated by enormous super- (e.g., geographical space). This fundamental computer simulations [9]. Recently a new difference means that many interesting classes trend has emerged: The explosive growth of of information have no natural and obvious the Internet, the overall computerization of physical representation. A key research the business and defense sectors, and the problem is to discover new visual metaphors deployment of data warehouses have created a for representing information and to under- widespread need and an emerging apprecia- stand what analytical tasks they support.