Modern Statistical Methods for HCI PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modern Statistical Methods for HCI PDF full book. Access full book title Modern Statistical Methods for HCI by Judy Robertson. Download full books in PDF and EPUB format.
Author: Judy Robertson
Publisher: Springer
ISBN: 3319266330
Category : Computers
Languages : en
Pages : 359
Get Book Here
Book Description
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.
Author: Judy Robertson
Publisher: Springer
ISBN: 3319266330
Category : Computers
Languages : en
Pages : 359
Get Book Here
Book Description
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.
Author: Michael Filimowicz
Publisher: Springer
ISBN: 3319733745
Category : Computers
Languages : en
Pages : 283
Get Book Here
Book Description
This is the first extensive compilation documenting contemporary third wave HCI, covering key methodological developments at the leading edge of human-computer interactions. Now in its second decade as a major current of HCI research, the third wave integrates insights from the humanities and social sciences to emphasize human dimensions beyond workplace efficiency or cognitive capacities. Where the earliest HCI work has been strongly based on the concept of human-machine coupling, which expanded to workplace collaboration as computers came into mainstream professional use, today HCI can connect to almost any human experience because there are new applications for every aspect of daily life. Volume 2 - Methodologies covers methodological approaches grounded in autoethnography, empathy-based design, crowdsourcing, psychometrics, user engagement, speculative design, somatics, embodied cognition, peripheral practices and transdisciplinarity.
Author: David Lamas
Publisher: Springer Nature
ISBN: 3030293815
Category : Computers
Languages : en
Pages : 809
Get Book Here
Book Description
The four-volume set LNCS 11746–11749 constitutes the proceedings of the 17th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2019, held in Paphos, Cyprus, in September 2019. The total of 111 full papers presented together with 55 short papers and 48 other papers in these books was carefully reviewed and selected from 385 submissions. The contributions are organized in topical sections named: Part I: accessibility design principles; assistive technology for cognition and neurodevelopment disorders; assistive technology for mobility and rehabilitation; assistive technology for visually impaired; co-design and design methods; crowdsourcing and collaborative work; cyber security and e-voting systems; design methods; design principles for safety/critical systems. Part II: e-commerce; education and HCI curriculum I; education and HCI curriculum II; eye-gaze interaction; games and gamification; human-robot interaction and 3D interaction; information visualization; information visualization and augmented reality; interaction design for culture and development I. Part III: interaction design for culture and development II; interaction design for culture and development III; interaction in public spaces; interaction techniques for writing and drawing; methods for user studies; mobile HCI; personalization and recommender systems; pointing, touch, gesture and speech-based interaction techniques; social networks and social media interaction. Part IV: user modelling and user studies; user experience; users’ emotions, feelings and perception; virtual and augmented reality I; virtual and augmented reality II; wearable and tangible interaction; courses; demonstrations and installations; industry case studies; interactive posters; panels; workshops. The chapter ‘Analyzing Accessibility Barriers Using Cost-Benefit Analysis to Design Reliable Navigation Services for Wheelchair Users’ is open access under a CC BY 4.0 license.
Author: Michael Goller
Publisher: Springer Nature
ISBN: 3031085183
Category : Education
Languages : en
Pages : 625
Get Book Here
Book Description
This volume provides alternatives for tackling existing empirical, methodological, and analytical challenges. It does so by providing a broad overview of less established, as well as emerging methods, which are of great relevance for current research on professional learning and development. As such, it offers a comprehensive collection of state-of-the-art methodologies and future directions within the workplace learning and professional development research. By describing these novel approaches and providing empirical illustrations, the book promotes innovative methodologies for investigating professional learning and development. It also supports scholars to understand upcoming empirical research and methods and encourages novice as well as established researchers to adopt new empirical strategies beyond traditional ones that have the potential to enrich a better understanding of professional learning and development.
Author: Simon Holland
Publisher: Springer
ISBN: 3319920693
Category : Computers
Languages : en
Pages : 305
Get Book Here
Book Description
Computing is transforming how we interact with music. New theories and new technologies have emerged that present fresh challenges and novel perspectives for researchers and practitioners in music and human-computer interaction (HCI). In this collection, the interdisciplinary field of music interaction is considered from multiple viewpoints: designers, interaction researchers, performers, composers, audiences, teachers and learners, dancers and gamers. The book comprises both original research in music interaction and reflections from leading researchers and practitioners in the field. It explores a breadth of HCI perspectives and methodologies: from universal approaches to situated research within particular cultural and aesthetic contexts. Likewise, it is musically diverse, from experimental to popular, classical to folk, including tango, laptop orchestras, composition and free improvisation.
Author: Walter R. Paczkowski
Publisher: Routledge
ISBN: 1351713094
Category : Business & Economics
Languages : en
Pages : 339
Get Book Here
Book Description
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.
Author: Carl-Johan Uckelstam
Publisher: Linköping University Electronic Press
ISBN: 9179297099
Category :
Languages : en
Pages : 91
Get Book Here
Book Description
Psychotherapy research has shifted from mainly focusing on the average effects of different treatments to concentrating more on questions related to the individual patient. When research attention shifts, it can give rise to the implementation of new statistical methods that, in turn, can illuminate new challenges that must be addressed. The aim of the thesis was to study how traditional methods for predicting certain psychotherapy outcomes have been conducted in the past, and how more advanced statistical methods might be used to enhance knowledge of how to predict these outcomes today. Three studies were performed: Paper I focused on how Multi Level Modeling (MLM) can be used to study certain aspects of the relationship between working alliance and treatment outcome. In Paper II, Latent Profile Analysis (LPA) and item-level analysis were used to give nuance to the relationship between psychological distress at baseline and change rate during treatment. Finally, in Paper III, Machine Learning (ML) was used to detect dropout patients in the early phase of treatment by exploring complex patterns of symptom distress during the early phase of treatment. The thesis showed how different goals of scientific exploration can be studied in the context of routine care with the use of these statistical frameworks and discussed some of the challenges and opportunities worth noting when entering this line of research. Psykoterapiforskning har på senare tid gått från att fokusera på genomsnittliga effekter av olika behandlingsinriktningar, till att inrikta sig mer mot den enskilda patienten. När fokus förflyttas på det här sättet kan det leda till att nya statistiska metoder behöver tillämpas vilket i sin tur kan leda till nya utmaningar för psykoterapiforskaren. Syftet med avhandlingen var att undersöka hur traditionella statistiska metoder har använts för att studera olika typer av psykoterapiutfall i rutinmässig vård, och hur mer avancerade statistiska metoder kan tillämpas för att öka kunskapen om hur dessa utfall kan prediceras. Tre studier genomfördes. Studie I fokuserade på hur flernivåanalys kan användas för att studera relationen mellan arbetsallians och behandlingsutfall. I studie II användes latent profilanalys för att studera sambandet mellan psykologiska besvär vid det första besöket och symptomförändring under behandlingens gång. Slutligen, I studie III, tillämpades maskininlärning för att upptäcka patienter med risk att hoppa av behandlingen i förtid. Sammanfattningsvis belystes i avhandlingen hur olika typer av vetenskapliga frågeställningar kan studeras i en klinisk kontext med hjälp av dessa statistiska ramverk samt några av de fördelar och begräsningar som är viktiga att notera när de tillämpas.
Author: Jacques Silber
Publisher: Edward Elgar Publishing
ISBN: 1800883455
Category : Business & Economics
Languages : en
Pages : 777
Get Book Here
Book Description
Encompassing chapters that address both unidimensional and multidimensional poverty, this timely Research Handbook explores all aspects of poverty and deprivation measurement, not only detailing broad issues but also scrutinising specific domains and aspects of poverty, such as health, energy and housing. Its succinct and highly focussed chapters, written by a diverse range of authors, employ a combination of theoretical and empirical methodologies to offer well-rounded explorations of complex topics.
Author: Alan Dix
Publisher: Morgan & Claypool Publishers
ISBN: 1681737442
Category : Computers
Languages : en
Pages : 183
Get Book Here
Book Description
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.
Author: Ngoc Thanh Nguyen
Publisher: Springer Nature
ISBN: 3030732800
Category : Computers
Languages : en
Pages : 881
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.* The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: data mining methods and applications; machine learning methods; decision support and control systems; natural language processing; cybersecurity intelligent methods; computer vision techniques; computational imaging and vision; advanced data mining techniques and applications; intelligent and contextual systems; commonsense knowledge, reasoning and programming in artificial intelligence; data modelling and processing for industry 4.0; innovations in intelligent systems. *The conference was held virtually.
