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Record Nr. |
UNISA996466039103316 |
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Titolo |
Human Machine Interaction [[electronic resource] ] : Research Results of the MMI Program / / edited by Denis Lalanne, Juerg Kohlas |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
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ISBN |
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Edizione |
[1st ed. 2009.] |
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Descrizione fisica |
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1 online resource (XIV, 311 p.) |
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Collana |
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Programming and Software Engineering ; ; 5440 |
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Disciplina |
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Soggetti |
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User interfaces (Computer systems) |
Multimedia information systems |
Computer graphics |
Software engineering |
Computer simulation |
Computer logic |
User Interfaces and Human Computer Interaction |
Multimedia Information Systems |
Computer Graphics |
Software Engineering |
Simulation and Modeling |
Logics and Meanings of Programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Human Machine Interaction -- Multimodal Interfaces: A Survey of Principles, Models and Frameworks -- Interactive Visualization - A Survey -- Mixed Reality: A Survey -- Multimodal User Interfaces -- Intelligent Multi-modal Interfaces for Mobile Applications in Hostile Environment(IM-HOST) -- MEMODULES as Tangible Shortcuts to Multimedia Information -- Why Androids Will Have Emotions: Constructing Human-Like Actors and Communicators Based on Exact Sciences of the Mind -- Interactive Visualization -- EvoSpaces - Multi-dimensional Navigation Spaces for Software Evolution -- HOVISSE – |
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Haptic Osteosynthesis Virtual Intra-operative Surgery Support Environment -- A Language and a Methodology for Prototyping User Interfaces for Control Systems -- Mixed Reality -- See ColOr: Seeing Colours with an Orchestra -- 6 th Sense– Toward a Generic Framework for End-to-End Adaptive Wearable Augmented Reality. |
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Sommario/riassunto |
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Human Machine Interaction, or more commonly Human Computer Interaction, is the study of interaction between people and computers. It is an interdisciplinary field, connecting computer science with many other disciplines such as psychology, sociology and the arts. The present volume documents the results of the MMI research program on Human Machine Interaction involving 8 projects (selected from a total of 80 proposals) funded by the Hasler Foundation between 2005 and 2008. These projects were also partially funded by the associated universities and other third parties such as the Swiss National Science Foundation. This state-of-the-art survey begins with three chapters giving overviews of the domains of multimodal user interfaces, interactive visualization, and mixed reality. These are followed by eight chapters presenting the results of the projects, grouped according to the three aforementioned themes. . |
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2. |
Record Nr. |
UNINA9910254925803321 |
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Autore |
Mertens Willem |
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Titolo |
Quantitative Data Analysis : A Companion for Accounting and Information Systems Research / / by Willem Mertens, Amedeo Pugliese, Jan Recker |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (X, 164 p. 29 illus., 20 illus. in color.) |
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Disciplina |
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Soggetti |
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Management information systems |
Statistics |
Computers |
Corporate governance |
Social sciences |
Business Information Systems |
Statistics for Business, Management, Economics, Finance, Insurance |
Information Systems and Communication Service |
Corporate Governance |
Methodology of the Social Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Comparing differences across groups -- Assessing (innocuous) relationships -- Models with latent concepts and multiple relationships: structural equation modeling -- Nested data and multilevel models: hierarchical linear models -- Analyzing longitudinal and panel data -- Causality: Endogeneity biases and possible remedies -- How to start analyzing, test assumptions, and deal with that pesky p-value -- Keeping track and staying sane. |
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Sommario/riassunto |
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This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis |
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that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in. |
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