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Crossmodal Attention Applied
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Book Synopsis Crossmodal Attention Applied by : Charles Spence
Download or read book Crossmodal Attention Applied written by Charles Spence and published by Cambridge University Press. This book was released on 2020-09-10 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive neuroscientists have started to uncover the neural substrates, systems, and mechanisms enabling us to prioritize the processing of certain sensory information over other, currently less-relevant, inputs. However, there is still a large gap between the knowledge generated in the laboratory and its application to real-life problems of attention as when, for example, interface operators are multi-tasking. In this Element, laboratory studies on crossmodal attention (both behavioural/psychophysical and cognitive neuroscience) are situated within the applied context of driving. We contrast the often idiosyncratic conditions favoured by much of the laboratory research, typically using a few popular paradigms involving simplified experimental conditions, with the noisy, multisensory, real-world environments filled with complex, intrinsically-meaningful stimuli. By drawing attention to the differences between basic and applied studies in the context of driving, we highlight a number of important issues and neglected areas of research as far as the study of crossmodal attention is concerned.
Book Synopsis Crossmodal Space and Crossmodal Attention by : Charles Spence
Download or read book Crossmodal Space and Crossmodal Attention written by Charles Spence and published by Oxford University Press. This book was released on 2004-04-08 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does the human brain manage to integrate all the information coming from different sensory outputs? The first book by two of the leading stars in cognitive neuroscience, this book addresses one of the hottest topics in the field.
Book Synopsis Deep Learning Techniques Applied to Affective Computing by : Zhen Cui
Download or read book Deep Learning Techniques Applied to Affective Computing written by Zhen Cui and published by Frontiers Media SA. This book was released on 2023-06-14 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Orienting of Attention by : Richard D. Wright
Download or read book Orienting of Attention written by Richard D. Wright and published by Oxford University Press. This book was released on 2008-04-16 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a succinct introduction to the orienting of attention. Richard Wright and Lawrence Ward describe the covert orienting literature clearly and concisely, illustrating it with numerous high-quality images, specifically designed to make the challenging theoretical concepts very accessible. The book begins with an historical introduction that provides a great deal of information about orienting, much of which will be new even to seasoned researchers. Wright and Ward then systematically describe the development of various experimental paradigms that have been devised to study covert orienting, and the theoretical issues raised by this research. One trend that they analyze in detail is the progression from relatively simple models of spatial attention (attention spotlight and zoom lens models) to an integrative computational framework based on a concept called the "activity distribution." They also present a comprehensive survey of cognitive neuroscience research on the brain mechanisms underlying spatial attention shifts, as well as a chapter summarizing recent research on crossmodal attention shifts, and elucidating the links between attention orienting in the visual, auditory, and tactile domains. In the Epilogue they offer a concise summary of the book, and develop preliminary frameworks for understanding the relationship between spatial attention and orienting in response to social cues (social cognitive neuroscience) and for describing the evolution of covert orienting. Orienting of Attention provides a systematic survey that is ideal for those looking for an accessible introduction to the field and also for students and researchers who want a state-of the-art overview.
Book Synopsis The Oxford Handbook of Attention by : Kia Nobre
Download or read book The Oxford Handbook of Attention written by Kia Nobre and published by Oxford University Press. This book was released on 2018 with total page 1260 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last three decades, there have been enormous advances in our understanding of the neural mechanisms of selective attention at the network as well as the cellular level. The Oxford Handbook of Attention brings together the different research areas that constitute contemporary attention research into one comprehensive and authoritative volume. In 40 chapters, it covers the most important aspects of attention research from the areas of cognitive psychology, neuropsychology, human and animal neuroscience, computational modelling, and philosophy. The book is divided into 4 main sections. Following an introduction from Michael Posner, the books starts by looking at theoretical models of attention. The next two sections are dedicated to spatial attention and non-spatial attention respectively. Within section 4, the authors consider the interactions between attention and other psychological domains. The last two sections focus on attention-related disorders, and finally, on computational models of attention. Aimed at both scholars and students, the Oxford Handbook of Attention provides a concise and state-of-the-art review of the current literature in this field.
Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi
Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-02 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author :Department of Psychology Arthur F Kramer Publisher :Oxford University Press ISBN 13 :0195305728 Total Pages :287 pages Book Rating :4.1/5 (953 download)
Book Synopsis Attention by : Department of Psychology Arthur F Kramer
Download or read book Attention written by Department of Psychology Arthur F Kramer and published by Oxford University Press. This book was released on 2007 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contributors from psychology and engineering consider theories of human attention, methods of researching it, and ways to improve attention or account for the lack of it in various contexts.
Book Synopsis The Neural Bases of Multisensory Processes by : Micah M. Murray
Download or read book The Neural Bases of Multisensory Processes written by Micah M. Murray and published by CRC Press. This book was released on 2011-08-25 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has become accepted in the neuroscience community that perception and performance are quintessentially multisensory by nature. Using the full palette of modern brain imaging and neuroscience methods, The Neural Bases of Multisensory Processes details current understanding in the neural bases for these phenomena as studied across species, stages of development, and clinical statuses. Organized thematically into nine sub-sections, the book is a collection of contributions by leading scientists in the field. Chapters build generally from basic to applied, allowing readers to ascertain how fundamental science informs the clinical and applied sciences. Topics discussed include: Anatomy, essential for understanding the neural substrates of multisensory processing Neurophysiological bases and how multisensory stimuli can dramatically change the encoding processes for sensory information Combinatorial principles and modeling, focusing on efforts to gain a better mechanistic handle on multisensory operations and their network dynamics Development and plasticity Clinical manifestations and how perception and action are affected by altered sensory experience Attention and spatial representations The last sections of the book focus on naturalistic multisensory processes in three separate contexts: motion signals, multisensory contributions to the perception and generation of communication signals, and how the perception of flavor is generated. The text provides a solid introduction for newcomers and a strong overview of the current state of the field for experts.
Book Synopsis Voice Marketing by : Laurence Minsky
Download or read book Voice Marketing written by Laurence Minsky and published by Rowman & Littlefield. This book was released on 2023-07-27 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Hey Google, how can you help me reach more customers and strengthen my brand?” Voice-enabled technologies are an integral part of our lives, and they present vast opportunities for marketers who are up to the challenge. With Voice Marketing: Harnessing the Power of Conversational AI to Drive Customer Engagement, marketers learn key strategies and tactics of the voice world while following a clear roadmap for developing and executing a voice marketing program. How should marketers best approach voice and conversational AI to ensure an optimal return on their investments? Since voice can both activate consumer behavior and help build the brand image, what is the right media mix for a marketer? How does voice fit with a marketer’s other channels, particularly online and mobile? What is appropriate content for this new channel and how can a marketer best go about creating that content? What are the legal and ethical issues that marketers need to address? What makes for a good development partner to implement voice initiatives? And what metrics should marketers use to judge the success of their voice efforts? Filled with real-world examples and behind-the-scenes stories, Voice Marketing is grounded in research-based theory and decades of experience. Case studies from the Allstate, Butterball, Coca-Cola, Domino's, Lucky Charms, Mercedes, Nike, Sony, Tide, and more combine with guest perspectives from the worlds of conversational AI, voice technology, academia, and marketing to deliver a ready-to-implement plan for success in the voice environment.
Download or read book Attention written by Addie Johnson and published by SAGE. This book was released on 2004 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attention: Theory and Practice provides a balance between a readable overview of attention and an emphasis on how theories and paradigms for the study of attention have developed. The book highlights the important issues and major findings while giving sufficient details of experimental studies, models, and theories so that results and conclusions are easy to follow and evaluate. Rather than brushing over tricky technical details, the authors explain them clearly, giving readers the benefit of understanding the motivation for and techniques of the experiments in order to allow readers to think through results, models, and theories for themselves. Attention is an accessible text for advanced undergraduate and graduate students in psychology, as well as an important resource for researchers and practitioners interested in gaining an overview of the field of attention.
Book Synopsis Cross-Modal Learning: Adaptivity, Prediction and Interaction by : Jianwei Zhang
Download or read book Cross-Modal Learning: Adaptivity, Prediction and Interaction written by Jianwei Zhang and published by Frontiers Media SA. This book was released on 2023-02-02 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; learning to walk; learning to read and write; learning to understand language and its referents; etc. In all these examples, visual, auditory, somatosensory or other modalities have to be integrated, and learning must be cross-modal. In fact, the broad range of acquired human skills are cross-modal, and many of the most advanced human capabilities, such as those involved in social cognition, require learning from the richest combinations of cross-modal information. In contrast, even the very best systems in Artificial Intelligence (AI) and robotics have taken only tiny steps in this direction. Building a system that composes a global perspective from multiple distinct sources, types of data, and sensory modalities is a grand challenge of AI, yet it is specific enough that it can be studied quite rigorously and in such detail that the prospect for deep insights into these mechanisms is quite plausible in the near term. Cross-modal learning is a broad, interdisciplinary topic that has not yet coalesced into a single, unified field. Instead, there are many separate fields, each tackling the concerns of cross-modal learning from its own perspective, with currently little overlap. We anticipate an accelerating trend towards integration of these areas and we intend to contribute to that integration. By focusing on cross-modal learning, the proposed Research Topic can bring together recent progress in artificial intelligence, robotics, psychology and neuroscience.
Book Synopsis Attraction, Distraction and Action by : Charles Folk
Download or read book Attraction, Distraction and Action written by Charles Folk and published by Elsevier. This book was released on 2001-11-30 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade there has been a spate of research on the empirical phenomenon known as "attentional capture". Interest in capture can be attributed not only to its applied significance, but also to the implications of the phenomenon for theories of selective attention, as well as cognitive control in general. This growing interest, however, has also spawned a wide variety of experimental paradigms, empirical results, and theoretical perspectives. In June of 2000, 40 experimental psychologists converged on Villanova University for a conference and workshop on attentional capture. The intent was to provide an intimate forum for scientists from diverse perspectives and backgrounds, and using diverse methodologies to present their research on attentional capture and also engage in small group discussions on such key issues as the definition, measurement, and theoretical treatment of attention capture. This book presents a collection of chapters based on those presentations and discussions. Chapters are organized around areas such as neuroscience, visual cognition, developmental, individual differences and dynamical systems. The volume provides: a summary of the latest cutting edge research; an important compass for future research in this area; a useful survey of the field; contributions from internationally recognized experts in attention. Due to its exclusive focus on the topic of attentional capture the volume should make an excellent supplemental text or reference book for advanced undergraduate or graduate seminars in cognitive psychology and attention.
Book Synopsis Melanopsin Vision by : Daniel S. Joyce
Download or read book Melanopsin Vision written by Daniel S. Joyce and published by Elements in Perception. This book was released on 2023-01-19 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element provides an integrative approach to understanding light sensation in humans.
Book Synopsis Physiological Influences of Music in Perception and Action by : Shannon E. Wright
Download or read book Physiological Influences of Music in Perception and Action written by Shannon E. Wright and published by Cambridge University Press. This book was released on 2022-03-09 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element reviews literature on the physiological influences of music during perception and action. It outlines how acoustic features of music influence physiological responses during passive listening, with an emphasis on comparisons of analytical approaches. It then considers specific behavioural contexts in which physiological responses to music impact perception and performance. First, it describes physiological responses to music that evoke an emotional reaction in listeners. Second, it delineates how music influences physiology during music performance and exercise. Finally, it discusses the role of music perception in pain, focusing on medical procedures and laboratory-induced pain with infants and adults.
Book Synopsis The Pervasiveness of Ensemble Perception by : Jennifer E. Corbett
Download or read book The Pervasiveness of Ensemble Perception written by Jennifer E. Corbett and published by Cambridge University Press. This book was released on 2023-01-31 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element outlines the recent understanding of ensemble representations in perception in a holistic way aimed to engage the general audience, novel and expert alike. The Element highlights the ubiquitous nature of this summary process, paving the way for a discussion of the theoretical and cortical underpinnings, and why ensemble encoding should be considered a basic, inherently necessary component of human perception. Following an overview of the topic, including a brief history of the field, the Element introduces overarching themes and a corresponding outline of the present work.
Book Synopsis Elements of Scene Perception by : Monica S. Castelhano
Download or read book Elements of Scene Perception written by Monica S. Castelhano and published by Cambridge University Press. This book was released on 2021-11-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual cognitive processes have traditionally been examined with simplified stimuli, but generalization of these processes to the real-world is not always straightforward. Using images, computer-generated images, and virtual environments, researchers have examined processing of visual information in the real-world. Although referred to as scene perception, this research field encompasses many aspects of scene processing. Beyond the perception of visual features, scene processing is fundamentally influenced and constrained by semantic information as well as spatial layout and spatial associations with objects. In this review, we will present recent advances in how scene processing occurs within a few seconds of exposure, how scene information is retained in the long-term, and how different tasks affect attention in scene processing. By considering the characteristics of real-world scenes, as well as different time windows of processing, we can develop a fuller appreciation for the research that falls under the wider umbrella of scene processing.
Download or read book Empathy written by Shir Genzer and published by Cambridge University Press. This book was released on 2023-12-21 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empathy provides a cognitive and emotional bridge that connects individuals and promotes prosocial behavior. People empathize with others via two complementary perceptual routes: Cognitive Empathy or the ability to accurately recognize and understand others' emotional states, and Affective Empathy or the ability to 'feel with' others. This Element reviews past and current research on both cognitive and affective empathy, focusing on behavioral, as well as neuroscientific research. It highlights a recent shift towards more dynamic and complex stimuli which may capture better the nature of real social interaction. It expands on why context is crucial when perceiving others' emotional state, and discusses gender differences, biases affecting our understanding of others, and perception of others in clinical conditions. Lastly, it highlights proposed future directions in the field.
