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检索条件"机构=Human-Computer Interaction Laboratory Department of Computer and Information Science"

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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 ...

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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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Music genre/mood classification using a feature-based modulation spectrum

Music genre/mood classification using a feature-based modula...

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International Conference on Mobile IT Convergence (ICMIC)

作者： Shin-Cheol Lim Sei-Jin Jang Soek-Pil Lee Moo Young Kim Human Computer Interaction Laboratory Department Information Communication Engineering Sejong University Seoul South Korea Digital Media Research Center Korea Electronics Technology Institute Seoul South Korea

The feature-based modulation flatness measure (FMSFM) and feature-based modulation crest measure (FMSCM) are proposed as novel feature vectors for music genre and mood classification. These features are extracted using a feature-based modulation spectrum to represent time-varying characteristics of the music signal. Instead of the spectrogram of the signal, timbral features such as mel-frequency cepstral coefficient (MFCC), decorrelated filter bank (DFB), and octave-based spectral contrast (OSC) are used for modulation. Combining FMSFM and FMSCM with the timbral features, we obtain significantly better accuracy in genre and mood classification than the conventional features.

关键词： Mood Feature extraction Support vector machine classification Accuracy Mel frequency cepstral coefficient Frequency modulation

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A distributed control architecture for sensor based motion control of autonomous wheeled mobile robots

A distributed control architecture for sensor based motion c...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Bin Ge Gen'ichi Yasuda Information Processing Laboratory Dalian University Dalian Liaoning China Department of Human and Computer Intelligence Nagasaki Institute of Applied Science Nagasaki Japan

This paper presents an experimental study on environment recognition and movement control for multi-agent robotic soccer using wheeled mobile robots. A color image segmentation method based on YUV color information of each pixel of the color image is applied to the object recognition. The color image segmentation is performed using the tables that transform each value in a pixel to membership in several color classes, where the lower and higher threshold values of Y, U, and V are determined and described for the sample color markers. The position of objects on the field is efficiently and accurately calculated using a monocular camera. A common image processing method is used to detect landmarks such as corners/edges in the environment. A movement control algorithm is implemented based on the distance and orientation to the target. Experimental results of real-time movement control are also presented.

关键词： Mobile robots Color Image segmentation computer architecture Image color analysis Object recognition

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NetVisia: Heat Map & Matrix Visualization of Dynamic Social Network Statistics & Content

NetVisia: Heat Map & Matrix Visualization of Dynamic Social ...

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

作者： Robert Gove Nick Gramsky Rose Kirby Emre Sefer Awalin Sopan Cody Dunne Ben Shneiderman Meirav Taieb-Maimon University of Maryland at College Park College Park MD US Department of Computer Science University of Maryland College Park MD USA Ben-Gurion University of the Negev Beersheva Israel Human-Computer Interaction Laboratory University of Maryland College Park MD USA

Visualizations of static networks in the form of node-link diagrams have evolved rapidly, though researchers are still grappling with how best to show evolution of nodes over time in these diagrams. This paper introduces NetVisia, a social network visualization system designed to support users in exploring temporal evolution in networks by using heat maps to display node attribute changes over time. NetVisia's novel contributions to network visualizations are to (1) cluster nodes in the heat map by similar metric values instead of by topological similarity, and (2) align nodes in the heat map by events. We compare NetVisia to existing systems and describe a formative user evaluation of a NetVisia prototype with four participants that emphasized the need for tool tips and coordinated views. Despite the presence of some usability issues, in 30-40 minutes the user evaluation participants discovered new insights about the data set which had not been discovered using other systems. We discuss implemented improvements to NetVisia, and analyze a co-occurrence network of 228 business intelligence concepts and entities. This analysis confirms the utility of a clustered heat map to discover outlier nodes and time periods.

关键词： Heating Measurement Social network services Layout Training Image color analysis Usability

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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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A Valid Frequency Range Analysis of Throat Signal for Voice Command System

A Valid Frequency Range Analysis of Throat Signal for Voice ...

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International Conference on information science and Applications (ICISA)

作者： Young-Giu Jung Mun-Sung Han Kyung-Yong Chung Sang Jo Lee Multimodal & Human Interaction Laboratory MY-Nail Tech Incheon South Korea Robot/Cognition System Research Department Electronics and Telecommunications Research Institute Daejeon South Korea School of Computer Information Engineering Sangji University Wonju South Korea Language&Information Processing Kyungpook National University Daegu South Korea

ISBN: (纸本)9781424492220

In this paper, a valid frequency range of throat signal analyses is presented. Compare to speech signals, the throat signals have many differences in the amount of information. In this context, targeting on throat signals to find valid frequency range is one of the most important analyses for the development of new breed of feature extraction algorithm. In this respect, using analysis similarity of throat signals feature distribution and correlation analysis of throat signals in the frequency domain, the frequency range can be found with effective and quick response time to be applied to a voice command recognition system using neck-microphone. As a result, the proposed frequency range is from 200Hz (center frequency) to 2001Hz (center frequency). For the neck-microphone voice command system using the proposed frequency range, a significant reduction in time complexity of 25% can be achieved without any loss in recognition rate.

关键词： Feature extraction Microphones Correlation Speech recognition Band pass filters Finite impulse response filter Indexes

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A toolkit to explore lived experience of motivation: When words are not enough

A toolkit to explore lived experience of motivation: When wo...

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International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth

作者： Lesley Axelrod Madeline Balaam Jane Burridge Penny Probert Smith Geraldine Fitzpatrick Sue Mawson Ian Ricketts Tom Rodden User Centred Technology Laboratory Interactive Systems University of Sussex Brighton UK Human Computer Interaction Grou Technical University of Vienna Vienna Austria School of Health Sciences University of Southampton Southampton UK School of Computing University of Dundee Dundee UK Department Engineering Science University of Oxford Oxford UK Department Computer Science University of Nottingham UK Culture Laboratory Newcastle University Newcastle upon Tyne UK Centre for Health and Social Care Research Sheffield Hallam University Sheffield UK

Designing to support motivation is an increasingly important issue, especially as pervasive technologies are used to facilitate various healthy behaviour changes. There are many motivation theories but these do not map specifically to inform design. In 'Motivating Mobility' we explore the lived experiences of motivation of people with stroke, in order to design rehabilitation technologies. Motivation varies between people, between contexts and over time and can be 'difficult to express', particularly for those with communication problems. We describe development of a theoretically based toolkit, principled in both content and form, and using multiple modes of communication, aimed at gathering motivational requirements in order to inspire design. We show use of the toolkit, discuss the rich data collected and reflect on how well the approach works and ties requirements, via their elicitation tool, back to theory. This toolkit has potential to inform design for motivational effect in similar pervasive health applications.

关键词： Educational institutions Interviews Games Cultural differences Probes human computer interaction Materials

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Welcome from the technical program chairs

Welcome from the technical program chairs

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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Jadwiga Indulska Claudio Bettini Roy Campbell Cecilia Mascolo Centro E. Piaggio and the Department of Information Engineering University of Pisa Pisa Italy Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA “Soft Robotics for Human Cooperation and Rehabilitation” Lab Istituto Italiano di Tecnologia Genoa Italy

A warm welcome to the Ninth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2011). We are very excited to introduce you to the technical program of our conference that this year includes 27 papers representing high-quality research conducted over the broad spectrum of topics related to pervasive computing.

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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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International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth

作者： Lesley Axelrod Flis Henwood Geraldine Fitzpatrick Jackie Cassell Helen Smith Amanda Nicholson Greta Rait Human Centred Technology Laboratory Interactive Systems Group School of Informatics University of Sussex Sussex UK Human-Computer Interaction Group Technical University of Vienna Vienna Austria Social Informatics Research Unit School of Applied Social Science University of Brighton Brighton Sussex UK Brighton and Sussex Medical School Brighton Sussex UK Department of Primary Care and Population Health University College London Medical School London UK

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.

关键词： Surgery Educational institutions Medical diagnostic imaging human computer interaction Diseases Databases

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Design of a web-based therapist tool to promote emotional closeness

Design of a web-based therapist tool to promote emotional cl...

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28th Annual CHI Conference on human Factors in Computing Systems, CHI 2010

作者： Anacleto, Junia Coutinho Fels, Sidney Villena, Johana María Rosas Advanced Interaction Laboratory Department of Computer Science Federal University of São Carlos Brazil Human Communications Technologies Lab. Electrical and Computer Engineering University of British Columbia Canada

ISBN: (纸本)9781605589312

We describe progress using a user-centered design process to migrate a family therapy game to a web-based therapist tool, called FamilySense, that supports therapists creating part of the therapeutic game. Using cards with questions about players' daily life and alternative answers considering their cultural context, the game gives parent and child awareness of each other. Online design of different elements for the board, cards and communication provide an effective online therapy tool. Four user-centered design process stages are presented including: design strategies, design questions, stakeholders, prototype and evaluation for each stage. The process has been successful for the migration, achieving an online game environment that shows strong potential for a family therapy tool. © 2010 Copyright is held by the author/owner(s).

关键词： Game design

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