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Proceedings of the SIGCHI Conference on human Factors in Computing Systems

作者： Harrison, Chris Hsieh, Gary Willis, Karl D.D. Forlizzi, Jodi Hudson, Scott E. Human-Computer Interaction Institute Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 United States College of Communication Arts and Sciences Michigan State University East Lansing MI United States Computational Design Lab. Carnegie Mellon University 5000 Forbes Avenue Pittsburgh PA 15213 United States

ISBN: (纸本)9781450302289

Icons in graphical user interfaces convey information in a mostly universal fashion that allows users to immediately interact with new applications, systems and devices. In this paper, we define Kineticons - an iconographic scheme based on motion. By motion, we mean geometric manipulations applied to a graphical element over time (e.g., scale, rotation, deformation). In contrast to static graphical icons and icons with animated graphics, kineticons do not alter the visual content or "pixel-space" of an element. Although kineticons are not new - indeed, they are seen in several popular systems - we formalize their scope and utility. One powerful quality is their ability to be applied to GUI elements of varying size and shape - from a something as small as a close button, to something as large as dialog box or even the entire desktop. This allows a suite of system-wide kinetic behaviors to be reused for a variety of uses. Part of our contribution is an initial kineticon vocabulary, which we evaluated in a 200 participant study. We conclude with discussion of our results and design recommendations. Copyright 2011 ACM.

关键词： Graphical user interfaces

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Reports of the aaai 2011 Spring symposia

Reports of the aaai 2011 Spring symposia

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作者： Buller, Mark Cuddihy, Paul Davis, Ernest Doherty, Patrick Doshi-Velez, Finale Erdem, Esra Fisher, Douglas Green, Nancy Hinkelmann, Knut McLurkin, James Maher, Mary Lou Maheswaran, Rajiv Rubinelli, Sara Schurr, Nathan Scott, Donia Shell, Dylan Szekely, Pedro Thönssen, Barbara Urken, Arnold B. U.S. Army Research Institute of Environmental Medicine Natick MA United States General Electric Research Niskayuna NY United States Department of Computer Science Courant Institute of Mathematical Sciences New York University United States Department of Computer and Information Sciences IDA Linkoping University Sweden Massachusetts Institute of Technology Cambridge MA United States Computer Science and Engineering Department Sabanci University Turkey Department of Electrical Engineering and Computer Science Vanderbilt University United States Department of Computer Science University of North Carolina Greensboro United States Business Information Systems and Studies School of Business University of Applied Sciences Northwestern Switzerland Department of Computer Science Rice University United States Human-Computer Interaction Lab. University of Maryland United States Computer Science Department University of Southern California United States Department of Health Sciences and Health Policy University of Lucerne Swiss Paraplegic Research Switzerland Aptima Inc. United States Department of Informatics University of Sussex United Kingdom Department of Computer Science and Engineering Texas A and M University United States School of Business University of Applied Sciences Northwestern Switzerland College of Engineering University of Arizona United States

The Association for the Advancement of Artificial Intelligence presented the 2011 Spring Symposium Series Monday through Wednesday, March 21-23, 2011, at Stanford University. This report summarizes the eight symposia. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

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Active progress bars: Facilitating the switch to temporary activities

Active progress bars: Facilitating the switch to temporary a...

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作者： Hurter, Christophe Riche, Nathalie Girouard, Audrey Plaisant, Catherine Civil Aviation Research Center IRIT Toulouse University 7 Avenue Edouard Belin 31055 Toulouse cedex France Microsoft Research One Microsoft Way Redmond WA 98052 United States Queen's University Human Media Lab. 25 Union St Kingston ON K7L 3N6 Canada University of Maryland Human Computer Interaction Lab. 2117C Hornbake South Wing College Park MD 20742 United States

ISBN: (纸本)9781450302289

In this paper, we seek to find a better way of effective task management when a progress bar interrupts user's primary activity. We propose to augment progress bars with user controlled functionalities facilitating the switch to temporary activities. We detail a taxonomy of waiting period contexts and possible temporary tasks, then report on 5 participatory design, and a follow-up survey of 96 respondents. Finally we describe an early prototype of active progress bars, and report on initial use.

关键词： Surveys

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EventGraphs: Charting Collections of Conference Connections

EventGraphs: Charting Collections of Conference Connections

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Annual Hawaii International Conference on System Sciences (HICSS)

作者： Derek Hansen Marc A. Smith Ben Shneiderman University of Maryland Center for the Advanced Study of Communities & Information College Park MD USA Connected Action Consulting Group Silicon Valley CA USA University of Maryland Human-Computer Interaction Lab College Park MD USA

EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes different types, and shows how the social media network analysis add-in NodeXL supports their creation and analysis. The structural patterns to look for in EventGraphs are highlighted and design ideas for their improvement are discussed.

关键词： Twitter Media Conferences Data visualization Measurement Real time systems

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Group-in-a-Box Layout for Multi-faceted Analysis of Communities

Group-in-a-Box Layout for Multi-faceted Analysis of Communit...

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IEEE International Conference on and IEEE International Confernece on Social Computing (SocialCom) Privacy, Security, Risk and Trust (PASSAT)

作者： Eduarda Mendes Rodrigues Natasa Milic-Frayling Marc Smith Ben Shneiderman Derek Hansen Department of Informatics Engineering Faculty of Engineering University of Porto Portugal Microsoft Research Cambridge UK Connected Action Consulting Group Belmont CA USA Department of Computer Science & Human-Computer Interaction Lab University of Maryland College Park MD USA College of Information Studies & Center of the Advanced Study of Communities and Information University of Maryland College Park MD USA

Communities in social networks emerge from interactions among individuals and can be analyzed through a combination of clustering and graph layout algorithms. These approaches result in 2D or 3D visualizations of clustered graphs, with groups of vertices representing individuals that form a community. However, in many instances the vertices have attributes that divide individuals into distinct categories such as gender, profession, geographic location, and similar. It is often important to investigate what categories of individuals comprise each community and vice-versa, how the community structures associate the individuals from the same category. Currently, there are no effective methods for analyzing both the community structure and the category-based partitions of social graphs. We propose Group-In-a-Box (GIB), a meta-layout for clustered graphs that enables multi-faceted analysis of networks. It uses the tree map space filling technique to display each graph cluster or category group within its own box, sized according to the number of vertices therein. GIB optimizes visualization of the network sub-graphs, providing a semantic substrate for category-based and cluster-based partitions of social graphs. We illustrate the application of GIB to multi-faceted analysis of real social networks and discuss desirable properties of GIB using synthetic datasets.

关键词： Layout Communities Clustering algorithms Visualization Algorithm design and analysis Social network services Image edge detection

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Children as codesigners of new technologies: valuing the imagination to transform what is possible.

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New directions for youth development 2010年第128期2010卷 35-43页

作者： Druin, Allison University of Maryland College of Information Studies and Human-Computer Interaction Lab United States

The technological complexity and richness of a child's environment today is far beyond what any adults today experienced when they were growing up. For example, no adult today knows what it is like to be a four-year-old using his or her first iPhone app or Webkinz account. Therefore, we seek ways to understand what children need in today's new technologies even without ourselves being children. Since 1999, young people ages seven to eleven have been the author's partners in codesigning new educational technologies at the University of Maryland's human-computer interaction lab. This work has helped inform who children are--what matters to them, what technologies need to be changed, and what needs to be built for the future. This work uses cooperative inquiry, a set of codesign methods that can enable adults and children to share their ideas while minimizing the differences in age and communication styles. This article describes low-tech methods for brainstorming, offering feedback, and supporting creative change in technology prototype designs. Examples of technologies are discussed and insights from children shared.

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Keynote: Exploring temporal patterns with information visualization

Keynote: Exploring temporal patterns with information visual...

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36th Graphics Interface Conference, GI 2010

作者： Plaisant, Catherine Human-Computer Interaction Lab. University of Maryland United States

ISBN: (纸本)9781568817125

After an overview of visualizations to explore temporal patterns, we will focus on interfaces for discovering temporal event patterns in electronic health records. Specifying event sequence queries is challenging even for skilled computer professionals familiar with SQL. Our novel interactive search strategies allow for aligning records on important events, ranking, and filtering combined with grouping of results to find common or rare events. A second approach is to use query-by-example, in which users specify a pattern and see a similarity-ranked list of results, but the similarity measure needs to be customized for different needs. Temporal summaries allow comparisons between groups. We will discuss the methods we use to evaluate the usefulness of our interfaces through collaborations with clinicians and hospital administrators on case studies. Finally, application of the techniques to other domains will be discussed.

关键词： Visualization

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Textured agreements: Re-envisioning electronic consent 10

Textured agreements: Re-envisioning electronic consent

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6th Symposium on Usable Privacy and Security, SOUPS 2010

作者： Kay, Matthew Terry, Michael Human-Computer Interaction Lab. University of Waterloo Waterloo ON Canada

ISBN: (纸本)9781450302647

Research indicates that less than 2% of the population reads license agreements during software installation [12]. To address this problem, we developed textured agreements, visually redesigned agreements that employ factoids, vignettes, and iconic symbols to accentuate information and highlight its personal relevance. Notably, textured agreements accomplish these goals without requiring modifcation of the underlying text. A between-subjects experimental study with 84 subjects indicates these agreements can signifcantly increase reading times. In our study, subjects spent approximately 37 seconds on agreement screens with textured agreements, compared to 7 seconds in the plain text control condition. A follow-up study examined retention of agreement content, fnding that median scores on a comprehension quiz increased by 4 out of 16 points for textured agreements. These results provide convincing evidence of the potential for textured agreements to positively impact software agreement processes. © 2010 ACM.

关键词： Contracts

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边缘检测在纸病图像分析中的应用

边缘检测在纸病图像分析中的应用

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广东省造纸学会2012学术年会

作者： Zhang Xue-lan 张学兰 Li Jun 李军 Xin Pei-hong 辛培红 Li Rui-rui 李瑞瑞 State Key Lab of Pulp & Paper Engineering South China University of TechnologyGuangzhou 510640Guan 华南理工大学制浆造纸工程国家重点实验室广东广州510640 华南理工大学广东省造纸技术与装备公共实验室广东广州510640 Guangdong Novel Human-computer Interaction Lab South China University of TechnologyGuangzhou 510640 华南理工大学电子与信息学院新型人机交互实验室广东广州510640

边缘检测是纸病图像处理的重要方法,也是各类纸病识别的前提.选取孔洞、脏点和褶皱三种有代表性的纸病为研究对象,通过C++编程探究了Roberts算子、Sobel算子和Prewitt算子在纸病图像检测中的效果.通过研究发现,Prewitt算子可以很好地检... 详细信息

边缘检测是纸病图像处理的重要方法,也是各类纸病识别的前提.选取孔洞、脏点和褶皱三种有代表性的纸病为研究对象,通过C++编程探究了Roberts算子、Sobel算子和Prewitt算子在纸病图像检测中的效果.通过研究发现,Prewitt算子可以很好地检测出同时含有孔洞、脏点和褶皱的纸病图像的边缘,并且识别率在93.8％以上.为纸病识别的进一步研究奠定了基础.

关键词：造纸工业纸病边缘检测图像处理

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Data recording in primary care field studies: Patient records enhancement project

Data recording in primary care field studies: Patient record...

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2011 5th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2011

作者： Axelrod, Lesley Henwood, Flis Fitzpatrick, Geraldine Cassell, Jackie Smith, Helen Nicholson, Amanda Rait, Greta Human Centred Technology Lab School of Informatics University of Sussex Falmer Sussex BN1 9QH United Kingdom Social Informatics Research Unit School of Applied Social Science University of Brighton Falmer Brighton Sussex BN1 9PH United Kingdom Human-Computer Interaction Group Technical University of Vienna Karlsplatz 13 1040 Vienna Austria Brighton and Sussex Medical School Mayfield House Falmer Brighton Sussex BN1 9PH United Kingdom Department of Primary Care and Population Health University College London Medical School London NW3 2NF United Kingdom

ISBN: (纸本)9781936968152

This position paper describes the human-computer interaction (HCI) field studies component of the multidisciplinary Patient Records Enhancement Project (PREP). PREP seeks to understand variability of data found in primary care electronic records, in particular the balance between coded data and doctor's 'free text' notes. HCI fieldwork will establish variables that affect recording practices. In field studies we observe and record data recording practices in general practice (GP) surgeries, interview staff, video consultations with real patients and video consultations with standardized patients (played by medical actors). By standardizing patients we can compare the impact of other variables: different doctors, in different surgeries, using different e-health systems. Our early findings suggest that variability is due to a complex web of reasons, driven by personal, contextual and organizational processes. Findings from thematic analysis will result in design implications for studies by epidemiologists and public health researchers, design of NHS training and work processes, and design of electronic health record interfaces. © 2011 ICST.

关键词： human computer interaction

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