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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.
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.
This book constitutes the proceedings of the 5th International Conference on Persuasive Technology, PERSUASIVE 2010, held in Copenhagen Denmark in June 2010. The 25 papers presented were carefully reviewed and selected from 80 submissions. In addition three keynote papers are included in this volume. The topics covered are emotions and user experience, ambient persuasive systems, persuasive design, persuasion profiles, designing for health, psychology of persuasion, embodied and conversational agents, economic incentives, and future directions for persuasive technology.
INTERACT 2009 was the 12th of a series of INTERACT international c- ferences supported by the IFIP Technical Committee 13 on Human–Computer Interaction. This year,INTERACT washeld in Uppsala (Sweden), organizedby the Swedish Interdisciplinary Interest Group for Human–Computer Interaction (STIMDI) in cooperation with the Department of Information Technology at Uppsala University. Like its predecessors, INTERACT 2009 highlighted, both to the academic and to the industrial world, the importance of the human–computer interaction (HCI) area and its most recent breakthroughs on current applications. Both - perienced HCI researchers and professionals, as well as newcomers to the HCI ?eld, int...
This open access book presents the scientific views of some fifty experts on how they believe the COVID-19 pandemic is currently affecting society, and how it will continue to do so in the years to come. Using the concept of a “common” (in the sense of common values, common places, common goods, and common sense), they elaborate on the transition from an Old Common to a New Common. In carefully crafted chapters, the authors address expected shifts in major fields like health, education, finance, business, work, and citizenship, applying concepts from law, psychology, economics, sociology, religious studies, and computer science to do so. Many of the authors anticipate an acceleration of the digital transformation in the forthcoming years, but at the same time, they argue that a successful shift to a new common can only be achieved by re-evaluating life on our planet, strengthening resilience at an individual level, and assuming more responsibility at a societal level.
In a world of accelerating unending change, perpetual surveillance, and increasing connectivity, conflict has become ever more complex. Wars are no longer limited to the traditional military conflict domains—land, sea, air; even space and cyber space. The new battlefield will be the cognitive domain and the new conflict a larger contest for power; a contest for cognitive superiority. Written by experts in military operations research and neuropsychology, this book introduces the concept of cognitive superiority and provides the keys to succeeding within a complex matrix where the only rules are the laws of physics, access to information, and the boundaries of cognition. The book describes ...
This book also contains various articles for hypnotherapists covering practical issues such as working with clients with migraines, skin conditions, and nightmares. There's a section that looks at positive psychology techniques that can be used by solution-focused hypnotherapists. There are some thoughts about laughter and happiness and how to be more resilient. And there are more theoretical issues around the gut-brain axis, working with large organizations, and Spiral Dynamics.
This book contains various articles for hypnotherapists covering practical issues such as helping clients with IBS and fibromyalgia, and information about how clients can make changes to their lives and overcome any fear ever. And there are more theoretical issues such as working with groups and some ideas from positive psychology, as well as what we can learn from the Sufis. The articles assume a model of the brain in which core activities are handled by the 'reptilian' brain, more protective functions (such as fighting, fleeing, feeding, and reproductive behaviour) are handled by the primitive emotional brain, and higher functions are handled by the intellectual brain. In terms of physical parts of the brain, these three areas more-or-less match up to the brain stem and cerebellum, the limbic system, and the cerebral cortex. It also assumes that the primitive emotional brain is very fast and the intellectual brain is much slower and tends to be used less.
A reflective, original invitation to recover and cultivate the human experiences that have atrophied in our virtual world. We embraced the mediated life—from Facetune and Venmo to meme culture and the Metaverse—because these technologies offer novelty and convenience. But they also transform our sense of self and warp the boundaries between virtual and real. What are the costs? Who are we in a disembodied world? In The Extinction of Experience, Christine Rosen investigates the cultural and emotional shifts that accompany our embrace of technology. In warm, philosophical prose, Rosen reveals key human experiences at risk of going extinct, including face-to-face communication, sense of place, authentic emotion, and even boredom. Considering cultural trends, like TikTok challenges and mukbang, and politically unsettling phenomena, like sociometric trackers and online conspiracy culture, Rosen exposes an unprecedented shift in the human condition, one that habituates us to alienation and control. To recover our humanity and come back to the real world, we must reclaim serendipity, community, patience, and risk.
The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline.