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Author: Charles Spence Publisher: Cambridge University Press ISBN: 1108908241 Category : Psychology Languages : en Pages : 134
Book Description
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.
Author: Charles Spence Publisher: Cambridge University Press ISBN: 1108908241 Category : Psychology Languages : en Pages : 134
Book Description
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.
Author: Charles Spence Publisher: Oxford University Press ISBN: 9780198524861 Category : Philosophy Languages : en Pages : 348
Book Description
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.
Author: Zhen Cui Publisher: Frontiers Media SA ISBN: 2832526365 Category : Science Languages : en Pages : 151
Book Description
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.
Author: Kia Nobre Publisher: Oxford University Press ISBN: 019882467X Category : Medical Languages : en Pages : 1260
Book Description
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.
Author: Richard D. Wright Publisher: Oxford University Press ISBN: 0190284846 Category : Psychology Languages : en Pages : 304
Book Description
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.
Author: Andrea Vedaldi Publisher: Springer Nature ISBN: 3030586049 Category : Computers Languages : en Pages : 789
Book Description
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: 0195305728 Category : Psychology Languages : en Pages : 287
Book Description
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.
Author: Charles Folk Publisher: Elsevier ISBN: 0080499554 Category : Psychology Languages : en Pages : 412
Book Description
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.
Author: Micah M. Murray Publisher: CRC Press ISBN: 1439812179 Category : Science Languages : en Pages : 800
Book Description
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.
Author: Laurence Minsky Publisher: Rowman & Littlefield ISBN: 1538155419 Category : Business & Economics Languages : en Pages : 217
Book Description
Voice Marketing is filled with real-world examples and behind-the-scenes stories, grounded in research-based theory and clear-eyed practice on how to use conversational AI. The ideas are immediately implementable, so marketers can get the most out of voice right from the start.
Author: Charles Spence
Author: Charles Spence
Author: Charles Spence
Author: Zhen Cui
Author: Kia Nobre
Author: Richard D. Wright
Author: Andrea Vedaldi
Author: Department of Psychology Arthur F Kramer
Author: Charles Folk
Author: Micah M. Murray
Author: Laurence Minsky