Modern Statistical Methods for HCI
Modern Statistical Methods for HCI

Author: Judy Robertson

Publisher: Springer

Published: 2016-03-22

Total Pages: 359

ISBN-13: 3319266330

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This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted. Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.

Statistics for HCI
Statistics for HCI

Author: Alan Dix

Publisher: Morgan & Claypool Publishers

Published: 2020-04-10

Total Pages: 183

ISBN-13: 1681737442

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Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.

Statistics for HCI
Statistics for HCI

Author: Alan Dix

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 161

ISBN-13: 3031022289

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Many people find statistics confusing, and perhaps even more confusing given recent publicity about problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This book aims to help readers navigate this morass: to understand the debates, to be able to read and assess other people's statistical reports, and make appropriate choices when designing and analysing their own experiments, empirical studies, and other forms of quantitative data gathering.

The Wiley Handbook of Human Computer Interaction Set
The Wiley Handbook of Human Computer Interaction Set

Author: Kent Norman

Publisher: John Wiley & Sons

Published: 2017-12-28

Total Pages: 2263

ISBN-13: 1118977270

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In der Vergangenheit war die Mensch-Computer-Interaktion (Human-Computer Interaction) das Privileg einiger weniger. Heute ist Computertechnologie weit verbreitet, allgegenwärtig und global. Arbeiten und Lernen erfolgen über den Computer. Private und kommerzielle Systeme arbeiten computergestützt. Das Gesundheitswesen wird neu erfunden. Navigation erfolgt interaktiv. Unterhaltung kommt aus dem Computer. Als Antwort auf immer leistungsfähigere Systeme sind im Bereich der Mensch-Computer-Interaktion immer ausgeklügeltere Theorien und Methodiken entstanden. The Wiley Handbook of Human-Computer Interaction bietet einen Überblick über all diese Entwicklungen und untersucht die vielen verschiedenen Aspekte der Mensch-Computer-Interaktion und hat den Wert menschlicher Erfahrungen, die über Technologie stehen, ganzheitlich im Blick.

Experimental Human-Computer Interaction
Experimental Human-Computer Interaction

Author: Helen C. Purchase

Publisher: Cambridge University Press

Published: 2012-07-23

Total Pages: 263

ISBN-13: 1107010063

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Takes the human-computer interaction researcher through the complete experimental process, from identifying a research question, to conducting an experiment and analysing the results.

Human-Centered Data Science
Human-Centered Data Science

Author: Cecilia Aragon

Publisher: MIT Press

Published: 2022-03-01

Total Pages: 201

ISBN-13: 0262367599

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Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.

Encyclopedia of Human Computer Interaction
Encyclopedia of Human Computer Interaction

Author: Ghaoui, Claude

Publisher: IGI Global

Published: 2005-12-31

Total Pages: 780

ISBN-13: 1591407982

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Esta enciclopedia presenta numerosas experiencias y discernimientos de profesionales de todo el mundo sobre discusiones y perspectivas de la la interacción hombre-computadoras

HCI and Usability for Education and Work
HCI and Usability for Education and Work

Author: Andreas Holzinger

Publisher: Springer

Published: 2008-11-19

Total Pages: 503

ISBN-13: 3540893504

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The Workgroup Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary - change, research and development. While human–computer interaction (HCI) tra- tionally brings together psychologists and computer scientists, usability engineering (UE) is a software engineering discipline and ensures the appropriate implementation of applications. Our 2008 topic was Human–Computer Interaction for Education and Work (HCI4EDU), culminating in the 4th annual Usability Symposium USAB 2008 held during November 20–21, 2008 in Graz, Austria (http://usab-symposium.tugraz.at). As with the field of Human–Computer Interaction in Medicine and Health Care (HCI4MED), which was our annual topic in 2007, technological performance also increases exponentially in the area of education and work. Learners, teachers and knowledge workers are ubiquitously confronted with new technologies, which are available at constantly lower costs. However, it is obvious that within our e-Society the knowledge acquired at schools and universities – while being an absolutely necessary basis for learning – may prove insufficient to last a whole life time. Working and learning can be viewed as parallel processes, with the result that li- long learning (LLL) must be considered as more than just a catch phrase within our society, it is an undisputed necessity. Today, we are facing a tremendous increase in educational technologies of all kinds and, although the influence of these new te- nologies is enormous, we must never forget that learning is both a basic cognitive and a social process – and cannot be replaced by technology.