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Methodologies of Affective Experimentation by Britta Timm Knudsen,Mads Krogh,Carsten Stage Pdf
We live in an era of experimentation – both if we look at the broader social world of politics, media and art and at the narrower context of academic knowledge production. This collection consists of 14 chapters by leading scholars in affect studies. They explore the affective dimensions of experimental practices related to, for example, activism, the COVID-19 pandemic, populism, sustainability, patient communities, music streaming, Jamaican dancehall, gangs, leadership, tourism and minority youth cultures. Experiments are understood as intentionally crafted milieus aimed at (re)presenting unnoticed aspects of the world, as non-linear processes with unpredictable outcomes, and as ways of giving the future a provisional form. The collection responds to a pressing need to understand the intersection between affect, experimentation and sociocultural change by offering empirical strategies to explore how, and with what consequences, experimentation is affective.
Affective Methodologies by Britta Timm Knudsen Pdf
The collection proposes inventive research strategies for the study of the affective and fluctuating dimensions of cultural life. It presents studies of nightclubs, YouTube memes, political provocations, heritage sites, blogging, education development, and haunting memories.
Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Methodology by Anonim Pdf
V. Methodology: E. J. Wagenmakers (Volume Editor) Topics covered include methods and models in categorization; cultural consensus theory; network models for clinical psychology; response time modeling; analyzing neural time series data; models and methods for reinforcement learning; convergent methods of memory research; theories for discriminating signal from noise; bayesian cognitive modeling; mathematical modeling in cognition and cognitive neuroscience; the stop-signal paradigm; hypothesis testing and statistical inference; model comparison in psychology; fmri; neural recordings; open science; neural networks and neurocomputational modeling; serial versus parallel processing; methods in psychophysics.
Understanding Policy Attitudes: Effects of Affective Source Cues on Political Reasoning by Lenka Hrbková Pdf
Jakým způsobem si občané utvářejí politické postoje? Jak politikové ovlivňují politické postoje lidí v jejich každodenním životě? Mají postoje lidí vůči politickým stranám vliv na veřejné mínění? Autorka knihy pomocí série laboratorních experimentů zkoumala procesy formování postojů lidí k politickým tématům v souvislosti s jejich emocemi vůči politickým aktérům. Výzkum se zaměřil především na negativitu a negativní pocity účastníků vůči politickým představitelům a ukázal, že tento typ negativního vztahu ovlivňuje způsob, jak lidé přemýšlí o politických tématech. Vzhledem k tomu, že experimentální metoda je na poli české politické vědy novinkou, cílem knihy je také představit experiment jako relevantní a užitečný nástroj pro rozšíření znalostí o důležitých politických procesech a fenoménech.
Deleuze and Research Methodologies by Rebecca Coleman Pdf
Shows how Deleuze's philosophy is shaking up research in the humanities and social sciences. Deleuzian thinking is having a significant impact on research practices in the Social Sciences not least because one of its key implications is the demand to break down the false divide between theory and practice. This book brings together international academics from a range of Social Science and Humanities disciplines to reflect on how Deleuze's philosophy is opening up and shaping methodologies and practices of empirical research.
Experimental Approaches to the Study of Charity by Daniel M. Oppenheimer,Christopher Y. Olivola Pdf
Americans donate over 300 billion dollars a year to charity, but the psychological factors that govern whether to give, and how much to give, are still not well understood. Our understanding of charitable giving is based primarily upon the intuitions of fundraisers or correlational data which cannot establish causal relationships. By contrast, the chapters in this book study charity using experimental methods in which the variables of interest are experimentally manipulated. As a result, it becomes possible to identify the causal factors that underlie giving, and to design effective intervention programs that can help increase the likelihood and amount that people contribute to a cause. For charitable organizations, this book examines the efficacy of fundraising strategies commonly used by nonprofits and makes concrete recommendations about how to make capital campaigns more efficient and effective. Moreover, a number of novel factors that influence giving are identified and explored, opening the door to exciting new avenues in fundraising. For researchers, this book breaks novel theoretical ground in our understanding of how charitable decisions are made. While the chapters focus on applications to charity, the emotional, social, and cognitive mechanisms explored herein all have more general implications for the study of psychology and behavioral economics. This book highlights some of the most intriguing, surprising, and enlightening experimental studies on the topic of donation behavior, opening up exciting pathways to cross-cutting the divide between theory and practice.
Methodology and Emotion in International Relations by Eric Van Rythoven,Mira Sucharov Pdf
This volume offers a state-of-the-art study of the diverse methodological approaches and issues in the study of emotions in international relations research. While interest in emotion and affect in IR has grown in recent years, there remains an absence of sustained engagement with questions of methodology and method. Although much of the field holds the ‘emotions turn’ as laudable, it is commonly seen as facing serious, even prohibitive, methodological challenges. Using a common framework for making discussions of methodology and emotion mutually intelligible, this work seeks to address this lacuna and will be of interest to students and scholars of international relations, research methods and IR theory.
Social and Affective Neuroscience of Everyday Human Interaction by Paulo Sérgio Boggio,Tanja S. H. Wingenbach,Marília Lira da Silveira Coêlho,William Edgar Comfort,Lucas Murrins Marques,Marcus Vinicius C. Alves Pdf
This Open Access book presents the current state of the art knowledge on social and affective neuroscience based on empirical findings. This volume is divided into several sections first guiding the reader through important theoretical topics within affective neuroscience, social neuroscience and moral emotions, and clinical neuroscience. Each chapter addresses everyday social interactions and various aspects of social interactions from a different angle taking the reader on a diverse journey. The last section of the book is of methodological nature. Basic information is presented for the reader to learn about common methodologies used in neuroscience alongside advanced input to deepen the understanding and usability of these methods in social and affective neuroscience for more experienced readers.
Methods of Randomization in Experimental Design by Valentim R. Alferes Pdf
This text provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs.
Deep Learning Techniques Applied to Affective Computing by Zhen Cui,Wenming Zheng Pdf
Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.
This book synthesizes Jacques Derrida’s hauntology and spectrality with affect theory, in order to create a rhetorical framework analyzing the felt absences and hauntings of written and oral texts. The book opens with a history of hauntology, spectrality, and affect theory and how each of those ideas have been applied. The book then moves into discussing the unique elements of the rhetorical framework known as the rhetorrectional situation. Three case studies taken from the Christian tradition, serve to demonstrate how spectral rhetoric works. The first is fictional, C.S. Lewis ’The Great Divorce. The second is non-fiction, Tim Jennings ’The God Shaped Brain. The final one is taken from homiletics, Bishop Michael Curry’s royal wedding 2018 sermon. After the case studies conclusion offers the reader a summary and ideas future applications for spectral rhetoric.
New Trends in Software Methodologies, Tools and Techniques by Hamido Fujita Pdf
Contains 30 papers from the SoMeT_10 international conference on new trends in software methodology, tools and techniques in Yokohama, Japan. This book offers an opportunity for the software science community to reflect on where they are and how they can work to achieve an optimally harmonized performance between the design tool and the end-user.
Somatosensory Research Methods by Nicholas Paul Holmes Pdf
This volume provides methods on the study of the systems of the brain. Chapters are divided into four parts covering; discriminative touch, proprioception and kinaesthesis, affective touch, individual differences due to atypical development, ageing, illusions and sensory substitution, microneurography, electrophysiology, brain imaging, and brain stimulation. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your research center and clinical investigation. Thorough and comprehensive, Somatosensory Research Methods aims to be comprehensive guide for researchers.
