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Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

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Music and Science 2021年 4卷

作者： Agres, Kat R. Schaefer, Rebecca S. Volk, Anja van Hooren, Susan Holzapfel, Andre Dalla Bella, Simone Müller, Meinard de Witte, Martina Herremans, Dorien Ramirez Melendez, Rafael Neerincx, Mark Ruiz, Sebastian Meredith, David Dimitriadis, Theo Magee, Wendy L. Yong Siew Toh Conservatory of Music National University of Singapore Singapore Social and Cognitive Computing Department Institute of High Performance Computing A*STAR Singapore Institute for Psychology Health Medical Neuropsychology Unit Leiden University Leiden Netherlands Leiden Institute for Brain and Cognition Leiden University Leiden Netherlands Academy of Creative and Performing Arts Leiden University Leiden Netherlands Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Faculty of Health care Department of Arts Therapies Zuyd University of Applied Sciences Heerlen Netherlands KenVaK Research Centre for the Arts Therapies and Psychomotricity Heerlen Netherlands Faculty of Psychology Open University of The Netherlands Heerlen Netherlands Division of Media Technology and Interaction Design KTH Royal Institute of Technology Stockholm Sweden International Laboratory for Brain Music and Sound Research (BRAMS) Outremont QC Canada Department of Psychology University of Montreal Montreal QC Canada Centre for Research on Brain Language and Music (CRBLM) Montreal QC Canada University of Economics and Human Sciences in Warsaw Warsaw Poland International Audio Laboratories Erlangen Friedrich-Alexander Universität Erlangen-Nürnberg Erlangen Germany HAN University of Applied Sciences Department of Arts Therapies and Psychological Studies Nijmegen Netherlands University of Amsterdam Research Institute of Child Development and Education Amsterdam Netherlands Treatment Centre for People with Mild Intellectual Disabilities and Psychiatric and Behavioral Disorders Gennep Netherlands Information Systems Technology and Design Singapore University of Technology and Design Singapore Music and Machine Learning Lab Music Technology Group Universitat Pompeu Fabra Barcelona Spain Faculty of EEMCS Interactive Intelligence Group Delft University of Technology Delft Netherlands Centre for Digital Music School of Electronic Engineerin

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field. © The Author(s) 2021.

关键词： health care interdisciplinarity MedTech music information retrieval (MIR) music neuroscience Music psychology music technology music therapy well-being

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A hybrid two-stage approach for discipline-independent canonical representation extraction from references 12

A hybrid two-stage approach for discipline-independent canon...

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12th ACM/IEEE-CS Joint Conference on digital Libraries, JCDL '12

作者： Park, Sung Hee Ehrich, Roger W. Fox, Edward A. Digital Library Research Laboratory Department of Computer Science Virginia Tech. Blacksburg VA 24061 United States Center for Human Computer Interaction Department of Computer Science Virginia Tech. Blacksburg VA 24061 United States

ISBN: (纸本)9781450311540

In education and research, references play a key role. However, extracting and parsing references are difficult problems. One concern is that there are many styles of references;hence, given a surface form, identifying what style was employed is problematic, especially in heterogeneous collections of theses and dissertations, which cover many fields and disciplines, and where different styles may be used even in the same publication. We address these problems by drawing upon suitable knowledge found in the WWW. In particular, we research a two-stage classifier approach, involving multi-class classification with respect to reference styles, and partially solve the problem of parsing surface representations of references. We describe empirical evidence for the effectiveness of our approach and plans for improvement of our methods. © 2012 ACM.

关键词： Extraction

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Search result visualization panel

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Proceedings of the Association for Information Science and Technology 2007年第1期43卷 1-2页

作者： Chaomei Chen Brad Eden Sherry Koshman Linn Marks Collins Ray Uzwyshyn College of Information Science and Technology Drexel University Web and Digitization Services University of Nevada Las Vegas Libraries School of Information Sciences University of Pittsburgh 135 N. Bellefield Ave. Pittsburgh PA 15260 e-Science and Human-Computer Interaction Research Library Los Alamos National Laboratory MS P362 Los Alamos NM 87544-7113 (Moderator) University of Miami Digital Library Initiatives University of Miami P.O.Box 248214 Coral Gables FL 33124-0320

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Bringing Treasures to the Surface: Previews and Overviews in a Prototype for the library of Congress National digital library 98

Bringing Treasures to the Surface: Previews and Overviews in...

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1998 ACM Conference on human Factors and Computing Systems, CHI 1998

作者： Plaisant, Catherine Marchionini, Gary Komlodi, Anita Human-Computer Interaction Laboratory Digital Library Research Group University of Maryland United States

ISBN: (纸本)1581130287

We worked with a team from the library of Congress (LC) to develop interface design components for LC's American Memory collections of historical multimedia materials. Our prototype illustrates the benefits of previews (such as samples, collections of thumbnails, and video previews) and overviews (such as timelines and automatically generated tables of contents) to facilitate the browsing of search results, or of entire unprocessed collections. © 1998 Association for Computing Machinery. All rights reserved.

关键词： digital libraries

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Building an electronic learning community: from design to implementation 98

Building an electronic learning community: from design to im...

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Proceedings of the SIGCHI Conference on human Factors in Computing Systems

作者： Anne Rose Wei Ding Gary Marchionini Josephus Beale Victor Nolet Human-Computer Interaction Laboratory University of Maryland College Park MD Digital Library Research Group University of Maryland College Park MD

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Metadata for units of measure in social science databases

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International Journal on digital Libraries 1997年第2期1卷 161-175页

作者： Greene, Stephan Digital Libraries Research Group and Human-Computer Interaction Laboratory Institute for Advanced Computer Studies University of Maryland MD 20742-3255 A.V. Williams Building College Park United States

Statistical social science databases present many unique data management problems. Among them is the fact that computer-aided use of statistical social science data is subject to serious but preventable errors in data manipulation and analysis, particularly given the increasing number of non-expert users. Two incremental prototype solutions to the problem of correctly manipulating units of measure when manipulating data are described. These implementations use rudimentary metadata representing measurement-theoretical and category attribute information to support error checking of data derivations common in research and reference using social science data. The specification of the metadata structures and the implementation of its processing is informed by relevant principles from literature in statistical and scientific data models, dimensional analysis, and knowledge representation with formal ontology. Design parameters useful in the effort to establish appropriate variable-level metadata specifications for social science databases used in digital environments are discussed. The integrated use of the proposed metadata appears to be a promising method of better supporting the manipulation and analysis of social science data. While measurement theoretical metadata has further application to the cataloging and retrieval of collections of statistical databases, the importance is argued of metadata for social science databases to serve users beyond these purposes. © Springer-Verlag 1997.

关键词： Category attributes Data derivation Metadata Social science databases Units of measure

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Bringing treasures to the surface: iterative design for the library of Congress National digital library Program 97

Bringing treasures to the surface: iterative design for the ...

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Proceedings of the ACM SIGCHI Conference on human factors in computing systems

作者： Catherine Plaisant Gary Marchionini Tom Bruns Anita Komlodi Laura Campbell Human-Computer Interaction Laboratory and Digital Library Research Group University of Maryland College Park MD Library of Congress National Digital Library Program Washington DC

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