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Visual Analysis of Temporal Trends in Social Networks Using Edge Color Coding and Metric Timelines

Visual Analysis of Temporal Trends in Social Networks Using ...

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

作者： Udayan Khurana Viet-An Nguyen Hsueh-Chien Cheng Jae-wook Ahn Xi Chen Ben Shneiderman Department of Computer Science University of Maryland College Park USA Human-Computer Interaction Laboratory University of Maryland College Park USA University of Maryland at College Park College Park MD US

We present Net EvViz, a visualization tool for analysis and exploration of a dynamic social network. There are plenty of visual social network analysis tools but few provide features for visualization of dynamically changing networks featuring the addition or deletion of nodes or edges. Our tool extends the code base of the Node XL template for Microsoft Excel, a popular network visualization tool. The key features of this work are (1) The ability of the user to specify and edit temporal annotations to the network components in an Excel sheet, (2) See the dynamics of the network with multiple graph metrics plotted over the time span of the graph, called the Timeline, and (3) Temporal exploration of the network layout using an edge coloring scheme and a dynamic Time slider. The objectives of the new features presented in this paper are to let the data analysts, computer scientists and others to observe the dynamics or evolution in a network interactively. We presented Net EvViz to five users of Node XL and received positive responses.

关键词： Measurement Data visualization Color Visualization Layout Twitter

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Improving models of slipping, guessing, and moment-by-moment learning with estimates of skill difficulty

Improving models of slipping, guessing, and moment-by-moment...

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4th International Conference on Educational Data Mining, EDM 2011

作者： Gowda, Sujith M. Rowe, Jonathan P. Baker, Ryan S.J.D. Chi, Min Koedinger, Kenneth R. Department of Social Science and Policy Studies Worcester Polytechnic Institute Worcester MA United States Department of Computer Science North Carolina State University 890 Oval Drive Raleigh United States Developmental and Psychological Sciences Stanford University 485 Lasuen Mall Stanford CA 94305 United States Department of Social Science and Policy Studies Human-Computer Interaction Institute Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 United States

ISBN: (纸本)9789038625379

Over the past several years, several extensions to Bayesian knowledge tracing have been proposed in order to improve predictions of students' in-tutor and post-test performance. One such extension is Contextual Guess and Slip, which incorporates machine-learned models of students' guess and slip behaviors in order to enhance the overall model's predictive performance [Baker et al. 2008a]. Similar machine learning approaches have been introduced in order to detect specific problem-solving steps during which students most likely learned particular skills [Baker, Goldstein, and Heffernan in press]. However, one important class of features that have not been considered in machine learning models used in these two techniques is metrics of item and skill difficulty, a key type of feature in other assessment frameworks [e.g Hambleton, Swaminathan, & Rogers, 1991;Pavlik, Cen, & Koedinger 2009]. In this paper, a set of engineered features that quantify skill difficulty and related skill-level constructs are investigated in terms of their ability to improve models of guessing, slipping, and detecting moment-by-moment learning. Supervised machine learning models that have been trained using the new skill-difficulty features are compared to models from the original contextual guess and slip and moment-by-moment learning detector work. This includes performance comparisons for predicting students' in-tutor responses, as well as post-test responses, for a pair of Cognitive Tutor data sets.

关键词： Students

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How interaction between roles shapes the communication structure in requirements-driven collaboration

How interaction between roles shapes the communication struc...

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IEEE International Conference on Requirements Engineering

作者： Sabrina Marczak Daniela Damian Software Engineering Global interAction Laboratory-SEGAL Department of Computer Science University of Victoria Victoria BC Canada

Requirements engineering involves collaboration among many project team members. Driven by coordination needs, this collaboration relies on communication and knowledge that members have of their colleagues and related activities. Ineffective coordination with those who work on requirements dependencies may result in project failure. In this paper, we report on a study of roles and communication structures in the collaboration driven by interdependent requirements in a software team. Through on-site observations, interviews with the developers and application of social network analysis, we found that there was significant communication between diverse roles in the project, and identified what were the reasons for communication between the different roles. We also found that these interactions typically involved a core of requirements analysts and testers in close communication, that most often they involved critical members whose absence, whether temporary or permanent, would disrupt the information flow if removed from the project, as well as that new hires were mostly isolated from the team collaboration. Most interestingly we found that the emergent communication structure between the different roles in the project did not conform to the planned communication structure prescribed by the organization. These findings further our knowledge about collaboration driven by requirements, and provide some useful implications for research and development of collaborative tools to support the effective coordination of cross-functional teams in software development.

关键词： Collaboration Organizations Social network services Interviews Software Lead

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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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Preparing Students for Effective Explaining of Worked Examples in the Genetics Cognitive Tutor 33

Preparing Students for Effective Explaining of Worked Exampl...

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33rd Annual Meeting of the Cognitive science Society: Expanding the Space of Cognitive science, CogSci 2011

作者： Corbett, Albert MacLaren, Ben Wagner, Angela Kauffman, Linda Mitchell, Aaron Baker, Ryan S.J.d. Gowda, Sujith M. Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA15213 United States Department of Biological Sciences Carnegie Mellon University PittsburghPA15213 United States Department of Social Science and Policy Studies Worcester Polytechnic Institute WorcesterMA01609 United States

ISBN: (纸本)9780976831877

This study examines the impact of integrating worked examples into a Cognitive Tutor for genetics problem solving, and whether a genetics process modeling task can help prepare students for explaining worked examples and solving problems. Students participated in one of four conditions in which they engaged in either: (1) process modeling followed by interleaved worked examples and problem solving;(2) process modeling followed by problem solving without worked examples;(3) interleaved worked examples and problems without process modeling;or (4) problem solving alone. Tutor data analyses reveal that process modeling led to faster reasoning and greater accuracy in explaining problem solutions. Process modeling and worked examples together led to faster reasoning in problem solving than did any of the other three conditions. Students in all conditions achieved equivalent problem-solving knowledge, as measured by posttest accuracy, although the tutor results suggest reasoning speed may be a more sensitive measure of learning. © CogSci 2011.

关键词： Students

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Optical-flow perspective invariant registration

Optical-flow perspective invariant registration

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2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011

作者： Clark, Adrian Green, Richard Human Interface Technology Laboratory University of Canterbury Private Bag 4800 Christchurch 8140 New Zealand Department of Computer Science University of Canterbury Private Bag 4800 Christchurch 8140 New Zealand

ISBN: (纸本)9780769545882

In this paper we examine the causes of one of the major shortcomings of current natural feature registration approaches, failure to register when the camera's view approaches parallel to the marker. The methods used by current registration algorithms in the attempt to overcome this problem are reviewed, and a novel tracking based approach called the Optical-flow Perspective Invariant Registration Augmentation (OPIRA) is presented which significantly improves the range of registration. A thorough evaluation of OPIRA is conducted using an external ground truth, showing the improvements possible when combined with leading natural feature registration algorithms such as SIFT, SURF and Ferns. © 2011 IEEE.

关键词： Optical flows

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Creek watch: Pairing usefulness and usability for successful citizen science 11

Creek watch: Pairing usefulness and usability for successful...

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Proceedings of the SIGCHI Conference on human Factors in Computing Systems

作者： Kim, Sunyoung Robson, Christine Zimmerman, Thomas Pierce, Jeff Haber, Eben M. Human-Computer Interaction Institute Carnegie Mellon University 5000 Forbes Avenue Pittsburgh PA United States Mobile Computing Research Group IBM Research - Almaden 650 Harry Road San Jose CA 95120 United States Department of Computer Science Univ. of California Berkeley 2599 Hearst Ave. Berkeley CA 94720 United States

ISBN: (纸本)9781450302289

Citizen science projects can collect a wealth of scientific data, but that data is only helpful if it is actually used. While previous citizen science research has mostly focused on designing effective capture interfaces and incentive mechanisms, in this paper we explore the application of HCI methods to ensure that the data itself is useful. To provide a focus for this exploration we designed and implemented Creek Watch, an iPhone application and website that allow volunteers to report information about waterways in order to aid water management programs. Working with state and local officials and private groups involved in water monitoring, we conducted a series of contextual inquiries to uncover what data they wanted, what data they could immediately use, and how to most effectively deliver that data to them. We iteratively developed the Creek Watch application and website based on our findings and conducted evaluations of it with both contributors and consumers of water data, including scientists at the city water resources department. Our study reveals that the data collected is indeed useful for their existing practices and is already in use in water and trash management programs. Our results suggest the application of HCI methods to design the data for the end users is just as important as their use in designing the user interface. Copyright 2011 ACM.

关键词： Websites

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AN EFFICIENT EIGEN VALUES BASED TECHNIQUE FOR ONLINE IRIS IMAGE COMPRESSION AND IDENTIFICATION

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International Journal of Information Acquisition 2011年第2期8卷 133-152页

作者： KAMTA NATH MISHRA ANUPAM AGRAWAL PRAKASH C. SRIVASTAVA VIVEK TRIPATHI VISHAL GUPTA Department of Computer Science and Engineering Birla Institute of Technology Ranchi — Allahabad Campus B-7 Industrial Area Naini Allahabad U.P. India Human – Computer Interaction Division Indian Institute of Information Technology Allahabad U.P. India

This paper introduces an efficient Eigen values based technique for online iris image compression and identification of a human including the case of identical twins. The iris image is extracted after removing the pupil, eye brow, skin and other noise disturbances from an actual image. The extracted iris image is divided into different blocks of size of 16 × 16. Now, Eigen values are calculated for each block and these Eigen values are stored in the smart card memory for further identification. Therefore, when checking if two iris images are identical or not, all we need is to compare the stored Eigen values with online calculated Eigen values. If two iris images have the same Eigen values, this means that both iris images belong to the same person. In our research, we have concluded that iris images of different persons have different Eigen values, including the case of identical twins. We conducted experiments on CASIA and Multimedia University iris image databases and we found that our Eigen Values Based Iris Image Identification Technique is giving 99.99% accuracy for the same image of identical twins and individuals. The implementation leads us to believe that our method is giving the best matching result in the case of identical twins and individuals. It is an efficient, secure and economically feasible approach for online personal identification.

关键词： Eigen value identical twins iris image compression and identification iris matching

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Representation of tsunamis in generalized hyperspace

Representation of tsunamis in generalized hyperspace

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Kingkarn Sookhanaphibarn Frank C. Lin Department of Math and Computer Science University of Maryland Eastern Shore Princess Anne MD USA Intelligent Computer Entertainment Laboratory Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Shiga Japan

We show that tsunami representations can be mapped onto each other by a linear transformation.

关键词： Tsunami Earthquakes Satellites Underwater vehicles US Government agencies Educational institutions Signal representations

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PEICS: HCI patterns for the design of interactive systems 11

PEICS: HCI patterns for the design of interactive systems

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Proceedings of the 2nd International Workshop on Pattern-Driven Engineering of Interactive Computing Systems

作者： Seissler, Marc Meixner, Gerrit Seffah, Ahmed Breiner, Kai Forbrig, Peter Klöckner, Kerstin University of Kaiserslautern Center for Human-Machine-Interaction 67663 Kaiserslautern Germany 67663 Kaiserslautern Germany University of Troyes Institut Charles Delaunay 10010 Troyes Cedex France University of Kaiserslautern Software Engineering Research Group 67663 Kaiserslautern Germany University of Rostock Department of Computer Science 18051 Rostock Germany 67663 Kaiserslautern Germany

In this paper, we summarize the results of the Pattern Driven Engineering of Interactive Computing Systems (PEICS) which took place at the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS) 2... 详细信息

ISBN: (纸本)9781450308564

关键词： Ergonomics

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