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IEEE Symposium on Information Visualization (INFOVIS)

作者： B. Shneiderman R. Rao K. Andrews C. Ahlberg D. Brodbeck T. Jewitt J. Mackinlay Department of Computer Science & Human-Computer Interaction Laboratory Institute for Advanced Computer Studies College Park MD USA Inxight Software Inc. Sunnyvale CA USA Graz University of Technology IICM Graz Austria Spotfire Inc. Somerville MA USA Macrofocus GmbH Zurich Switzerland The Hive Group San Mateo CA USA User Interface Tableau Software Seattle WA USA

As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the panel organizers believe that there are certain strategies that facilitate success. To teach these lessons, we have invited several key figures who are seeking to commercialize information visualization tools. The panelists make short presentations, engage in a moderated discussion, and respond to audience questions.

关键词： Turning Technological innovation Data visualization User interfaces Books Management training computer science Laboratories computer interfaces Educational institutions

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Annotation-based rescue assistance system for teleoperated unmanned helicopter with wearable augmented reality environment

Annotation-based rescue assistance system for teleoperated u...

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IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR)

作者： M. Koeda Y. Matsumoto T. Ogasawara Collage of Information Science and Engineering Department of Human and Computer Intelligence Ritsumeikan University Kusatsu Shiga Japan Graduate School of Information Science Robotics Laboratory Nara Institute of Science and Technology Ikoma Nara Japan

We introduce an annotation-based rescue assistance system for a teleoperated unmanned helicopter with an wearable augmented reality (AR) environment. In this system, an operator controls the helicopter remotely while watching an annotated view from the helicopter through a head mounted display (HMD) with a laptop PC in a backpack. Virtual buildings and textual annotations assist the rescue operation indicating the position to search rapidly and intensively. The position and the attitude of the helicopter is measured by a GPS and a gyroscope, and sent to the operator's PC via a wireless LAN. Using this system, we conducted experiments to find persons and verified the feasibility.

关键词： Helicopters Augmented reality Control systems Gyroscopes Wireless LAN Global Positioning System Cameras Information science Intelligent robots Robot kinematics

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Comparing interlaced and progressive scans for MPEG coding of medical video

Comparing interlaced and progressive scans for MPEG coding o...

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Annual Northeast Bioengineering Conference

作者： Chengquan Hu R.J. Sclabassi M.L. Scheuer J. Yang J. Xu Q. Liu M. Sun College of Computer Science and Technology Jilin University Changchun China Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA Department of Electrical Engineering Department of Neurological Surgery Department of Biomedical Engineering University of Pittsburgh Pittsburgh PA USA Department of Neurology University of Pittsburgh Pittsburgh PA USA Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh PA USA

This paper examines MPEG-4 coding efficiency for interlaced and progressively scanned video data recorded during remote patient monitoring. Experiments are performed using both interlaced and progressive coding methods to compress interlaced, deinterlaced and progressively scanned video sequences at different bit rates. Our results show that progressively scanned video outperforms interlaced video in both coding efficiency and video quality. We also found that the use of a deinterlacing algorithm improves video coding performance. In addition, we found that interlaced or progressively scanned video data can be compressed using either progressive or interlaced coding algorithms without significant difference in performance.

关键词： Video compression Video equipment PSNR MPEG 4 Standard Video coding Layout Biomedical engineering Data engineering Patient monitoring Codecs

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Dynamically deployed support as a potential solution to negative behavioral adaptation

Dynamically deployed support as a potential solution to nega...

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IEEE Symposium on Intelligent Vehicle

作者： R. Kovordanyi K. Ohlsson T. Alm Cognitive technology at the Department of Computer and Information Science Linköping Universitet Sweden Human-machine interaction at the division of Industrial Ergonomics Department of Mechanical Engineering Linköping Universitet Sweden Division of Industriai Ergonomics Department of Mechanical Engineering Linköping Universitet Linkoping Sweden

Advanced driver assistance systems are designed to make driving easier that is, to alleviate the driver's workload, and to increase traffic safety. However, traffic safety is affected by negative behavioral adaptation, meaning that drivers tend to increase speed and pay less attention to driving when supported by an advanced assistance system. We relate behavioral adaptation to reinforcement learning at a subconscious level, and propose that driver assistance is dynamically varied within predetermined safety limits. The aim of employing a dynamic assistance policy is to prevent the driver from noticing a constant improvement in vehicle handling. We conclude by describing ongoing work for empirically evaluating an improved lane departure warning system that uses a dynamic assistance policy.

关键词： Safety Vehicle dynamics Alarm systems Wheels US department of Transportation Learning Vehicle driving Sensor systems Ergonomics Torque

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Graduate education in human-computer interaction

Graduate education in human-computer interaction

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Conference on human Factors in Computing Systems, CHI EA 2005

作者： Foley, James Beaudouin-Lafon, Michel Grudin, Jonathan Hollan, James Hudson, Scott Olson, Judy Verplank, Bill Laboratoire de Recherche en Informatique Bât 490 Université Paris Sud 91405 Orsay Cedex France GVU Center and College of Computing Georgia Institute of Technology Atlanta GA 30332-0280 United States Microsoft Research Bellevue WA United States Department of Cognitive Science University of California San Diego CA 92093-0515 United States Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh PA 15213-3891 United States School of Information Univ. of Michigan Ann Arbor MI 48109-1092 United States Visiting Scholar Stanford University Department of Computer Science Stanford CA 94305-9035 United States

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Feature selection for classification of SELDI-TOF-MS proteomic profiles

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Applied Bioinformatics 2005年第4期4卷 227-246页

作者： Hauskrecht, Milos Pelikan, Richard Malehorn, David E. Bigbee, William L. Lotze, Michael T. Zeh III, Herbert J. Whitcomb, David C. Lyons-Weiler, James Department of Computer Science University of Pittsburgh Pittsburgh PA United States University of Pittsburgh Cancer Institute University of Pittsburgh Pittsburgh PA United States Clinical Proteomics Facility University of Pittsburgh Pittsburgh PA United States Department of Pathology University of Pittsburgh Pittsburgh PA United States Department of Surgery University of Pittsburgh Pittsburgh PA United States Department of Medicine Cell Biology and Physiology Department of Human Genetics University of Pittsburgh Pittsburgh PA United States Cancer Biomarkers Laboratory University of Pittsburgh Pittsburgh PA United States Centers for Pathology and Oncology Informatics University of Pittsburgh Pittsburgh PA United States Center for Biomedical Informatics University of Pittsburgh Pittsburgh PA United States Department of Computer Science 5329 Sennott Building University of Pittsburgh Pittsburgh PA 15260 United States

Background: Proteomic peptide profiling is an emerging technology harbouring great expectations to enable early detection, enhance diagnosis and more clearly define prognosis of many diseases. Although previous research work has illustrated the ability of proteomic data to discriminate between cases and controls, significantly less attention has been paid to the analysis of feature selection strategies that enable learning of such predictive models. Feature selection, in addition to classification, plays an important role in successful identification of proteomic biomarker panels. Methods: We present a new, efficient, multivariate feature selection strategy that extracts useful feature panels directly from the high-throughput spectra. The strategy takes advantage of the characteristics of surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF-MS) profiles and enhances widely used univariate feature selection strategies with a heuristic based on multivariate de-correlation filtering. We analyse and compare two versions of the method: one in which all feature pairs must adhere to a maximum allowed correlation (MAC) threshold, and another in which the feature panel is built greedily by deciding among best univariate features at different MAC levels. Results: The analysis and comparison of feature selection strategies was carried out experimentally on the pancreatic cancer dataset with 57 cancers and 59 controls from the University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, USA. The analysis was conducted in both the whole-profile and peak-only modes. The results clearly show the benefit of the new strategy over univariate feature selection methods in terms of improved classification performance. Conclusion: Understanding the characteristics of the spectra allows us to better assess the relative importance of potential features in the diagnosis of cancer. Incorporation of these characteristics into feature selection strat

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The ISI and the CTW

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Cognition, Technology & Work 2005年第1期7卷 1-2页

作者： Hollnagel, Erik Cacciabue, Pietro C. Department of Computer and Information Science Cognitive Systems Engineering Laboratory (CSELAB) University of Linköping Linköping Sweden EC Joint Research Centre Institute for System Informatics and Safety Human Factors Sector Ispra (VA) Italy

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Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems

Inverse kinematics learning for robotic arms with fewer degr...

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2005 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： E. Oyama T. Maeda J.Q. Gan E.M. Rosales K.F. MacDorman S. Tachi A. Agah National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Human and Information Science Laboratory NTT Communication Science Laboratories Atsugi Kanagawa Japan Department of Computer Science University of Essex Colchester UK Department of Adaptive Machine Systems Osaka University Suita Osaka Japan School of Engineering University of Tokyo Bunkyo Tokyo Japan Department of Electrical Engineering and Computer Science University of Kansas Lawrence KS USA

Artificial neural networks have been traditionally employed to learn and compute the inverse kinematics of a robotic arm. However, the inverse kinematics model of a typical robotic arm with joint limits is a multi-valued and discontinuous function. Because it is difficult for a multilayer neural network to approximate this type of function, an accurate inverse kinematics model cannot be obtained by using a single neural network. In order to overcome the difficulties of inverse kinematics learning, we propose a novel modular neural network system that consists of a number of expert modules, where each expert approximates a continuous part of the inverse kinematics function. The proposed system selects one appropriate expert whose output minimizes the expected position/orientation error of the end-effector of the arm. The system can learn a precise inverse kinematics model of a robotic arm with equal or more degrees of freedom than that of its end-effector. However, there are robotic arms with fewer degrees of freedom, where the system cannot learn their precise inverse kinematics model. We have adopted a modified Gauss-Newton method for finding the least-squares solution to address this issue. Through the modifications presented in this paper, the improved modular neural network system can obtain a precise inverse kinematics model of a general robotic arm.

关键词： Kinematics Robots Arm Neural networks Artificial neural networks Multi-layer neural network computer networks Newton method Least squares methods Recursive estimation

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WACL: supporting telecommunications using - wearable active camera with laser pointer

WACL: supporting telecommunications using - wearable active ...

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International Symposium on Wearable computers

作者： N. Sakata T. Kurata T. Kato M. Kourogi H. Kuzuoka Institute of Engineering Mechanics University of Tsukuba Japan Human Interface Technology Laboratory University of Washington USA Institute of Advanced Industrial Science and Technology AIST Intelligent Systems Institute AIST Japan Department of Computer and Communication Sciences Wakayama University Japan

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The influence of synchrony and sensory modality on the person perception process in computer-mediated groups

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Journal of computer-Mediated Communication 2005年第3期10卷 00-00页

作者： Nowak, Kristine L. Watt, James Walther, Joseph B. Communication Science Department University of Connecticut United States Rensselaer Social and Behavioral Research Laboratory Rensselaer Polytechnic Institute United States Department of Communication Cornell University United States Human Computer Interaction Lab. University of Connecticut United States Department of Communication Sciences University of Connecticut 850 Bolton Road U-1085 Storrs CT 06269 United States Rensselaer Social and Behavioral Research Laboratory United States Department of Language Literature and Communication Rensselaer Polytechnic Institute United States James Watt LL and C Rensselaer Polytechnic Institute 110 8th Street Troy NY 12180 United States Dept. of Communication Cornell University 336 Kennedy Hall Ithaca NY 14853-4203 United States

This study examined the effects of synchrony and the number of cues on the person perception process in computer-mediated communication. One hundred and forty-two participants in groups of three or four engaged in collaboration over five weeks to develop oral reports, using alternate versions of communication systems or meeting face-to-face. Consistent with the hyperpersonal model, those using low cue media felt their partners were more credible, and reported more social attraction, less uncertainty, and more involvement in the interaction than those using high cue media. People interacting with synchronous media felt increased social attraction, self-reported involvement, and certainty. They also felt that their conversations were more effective, although this effect appeared mainly in low cue groups. Results of an exploratory path analysis suggest that future research should focus on causal chains rather than direct effects, and that intervening variables (such as involvement) may be central to our understanding of the effects of communication technology systems. © 2005 Journal of computer-Mediated Communication.

关键词： Communication systems

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