A comprehensive examination of methods for mediation and interaction, VanderWeele's book is the first to approach this topic from the perspective of causal inference. Numerous software tools are provided, and the text is both accessible and easy to read, with examples drawn from diverse fields. The result is an essential reference for anyone conducting empirical research in the biomedical or social sciences.

This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.

Decades of research in the cognitive and learning sciences have led to a growing recognition of the incredibly multi-faceted nature of human knowing and learning. Up to now, this multifaceted nature has been visible mostly in distinct and often competing communities of researchers. From a purely scientific perspective, "siloed" science—where different traditions refuse to speak with one another, or merely ignore one another—is unacceptable. This ambitious volume attempts to kick-start a serious, new line of work that merges, or properly articulates, different traditions with their divergent historical, theoretical, and methodological commitments that, nonetheless, both focus on the highly detailed analysis of processes of knowing and learning as they unfold in interactional contexts in real time. Knowledge and Interaction puts two traditions in dialogue with one another: Knowledge Analysis (KA), which draws on intellectual roots in developmental psychology and cognitive modeling and focuses on the nature and form of individual knowledge systems, and Interaction Analysis (IA), which has been prominent in approaches that seek to understand and explain learning as a sequence of real-time moves by individuals as they interact with interlocutors, learning environments, and the world around them. The volume’s four-part organization opens up space for both substantive contributions on areas of conceptual and empirical work as well as opportunities for reflection, integration, and coordination.

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. - Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) - Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors - New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers

In this provocative monograph, Bertram Malle describes behavior explanations as having a dual nature—as being both cognitive and social acts—and proposes a comprehensive theoretical model that integrates the two aspects. When people try to understand puzzling human behavior, they construct behavior explanations, which are a fundamental tool of social cognition. But, Malle argues, behavior explanations exist not only in the mind; they are also overt verbal actions used for social purposes. When people explain their own behavior or the behavior of others, they are using the explanation to manage a social interaction—by offering clarification, trying to save face, or casting blame. Malle's account makes clear why these two aspects of behavior explanation exist and why they are closely linked; along the way, he illustrates the astonishingly sophisticated and subtle patterns of folk behavior explanations. Malle begins by reviewing traditional attribution theories and their simplified portrayal of behavior explanation. A more realistic portrayal, he argues, must be grounded in the nature, function, and origins of the folk theory of mind—the conceptual framework underlying people's grasp of human behavior and its connection to the mind. Malle then presents a theory of behavior explanations, focusing first on their conceptual structure and then on their psychological construction. He applies this folk-conceptual theory to a number of questions, including the communicative functions of behavior explanations, and the differences in explanations given for self and others as well as for individuals and groups. Finally, he highlights the strengths of the folk-conceptual theory of explanation over traditional attribution theory and points to future research applications.

This book offers a semantic and metasemantic inquiry into the representation of meaning in linguistic interaction. Kasia Jaszczolt's view represents the most radical stance on meaning to be found in the contextualist tradition and thereby the most radical take on the semantics/pragmatics boundary. It allows for the selection of the cognitively plausible object of enquiry without being constrained by such distinctions as what is said/what is implicated or what is linguistic and what is extralinguistic. She argues that this is the only promising stance on meaning. The analysis transcends the traditional distinctions drawn, and traditional questions posed, in post-Gricean pragmatics and philosophy of language. It heavily relies on the dynamic construction of meaning in discourse, using truth conditions as a tool but at the same time conforming to pragmatic compositionality ? whereby aspects of meaning that enter this composition have very different provenance. Meaning in Linguistic Interaction builds on the author's earlier work on Default Semantics and adds new arguments in favour of radical contextualism as well as novel applications, focusing on the role of salience, the flexibility of word meaning, the literal/nonliteral distinction, and the dynamic nature of a character, as well as offering an entirely new perspective on the indexical/nonindexical distinction. It contains a state-of-the-art discussion of the semantics/pragmatics boundary disputes, focusing on varieties of semantic minimalism and contextualism and on the limitations of an indexicalism. Jaszczolt's work is illustrated with examples from a variety of languages and offers some formal representations of meaning in the metalanguage of Default Semantics.

Shaun Gallagher presents a ground-breaking interdisciplinary account of human action, bringing out its essentially social dimension. He explores and synthesizes the different approaches of action theory, social cognition, and critical social theory. He shows that in order to understand human agency and the aspects of mind that are associated with it, we need to grasp the crucial role of context or circumstance in action, and the normative constraints of social and cultural practices. He also investigates issues concerning social cognition and embodied intersubjective interaction, including direct social perception and the role of narrative and communicative practices from an interdisciplinary perspective. Gallagher thereby brings together embodied and enactive approaches to action for the first time in this book and, in developing an alternative to standard conceptions of understanding others, he bridges social cognition and critical social theory, drawing out the implications for recognition, autonomy, and justice.

Why the “nature versus nurture” debate persists despite widespread recognition that human traits arise from the interaction of nature and nurture. If everyone now agrees that human traits arise not from nature or nurture but from the interaction of nature and nurture, why does the “nature versus nurture” debate persist? In Beyond Versus, James Tabery argues that the persistence stems from a century-long struggle to understand the interaction of nature and nurture—a struggle to define what the interaction of nature and nurture is, how it should be investigated, and what counts as evidence for it. Tabery examines past episodes in the nature versus nurture debates, offers a contemporary philosophical perspective on them, and considers the future of research on the interaction of nature and nurture. From the eugenics controversy of the 1930s and the race and IQ controversy of the 1970s to the twenty-first-century debate over the causes of depression, Tabery argues, the polarization in these discussions can be attributed to what he calls an “explanatory divide”—a disagreement over how explanation works in science, which in turn has created two very different concepts of interaction. Drawing on recent developments in the philosophy of science, Tabery offers a way to bridge this explanatory divide and these different concepts integratively. Looking to the future, Tabery evaluates the ethical issues that surround genetic testing for genes implicated in interactions of nature and nurture, pointing to what the future does (and does not) hold for a science that continues to make headlines and raise controversy.

This accessible "how to" book about classroom interaction offers teachers powerful tools of discourse analysis as a way of understanding the complex dynamics of human interaction that constitute effective, equitable teaching and learning and guides them step-by-step through how to build their interactional awareness to improve their teaching.