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Clinical neuropsychology is a rapidly evolving specialty whose practitioners serve patients with traumatic brain injury, stroke and other vascular impairments, brain tumors, epilepsy and nonepileptic seizure disorders, developmental disabilities, progressive neurological disorders, HIV- and AIDS-related disorders, and dementia. . Services include evaluation, treatment, and case consultation in child, adult, and the expanding geriatric population in medical and community settings. The clinical goal always is to restore and maximize cognitive and psychological functioning in an injured or compromised brain. Most neuropsychology reference books focus primarily on assessment and diagnosis, and to date none has been encyclopedic in format. Clinicians, patients, and family members recognize that evaluation and diagnosis is only a starting point for the treatment and recovery process. During the past decade there has been a proliferation of programs, both hospital- and clinic-based, that provide rehabilitation, treatment, and treatment planning services. This encyclopedia will serve as a unified, comprehensive reference for professionals involved in the diagnosis, evaluation, and rehabilitation of adult patients and children with neuropsychological disorders.
There is perhaps no facet of modern society where the influence of computer automation has not been felt. Flight management systems for pilots, diagnostic and surgical aids for physicians, navigational displays for drivers, and decision-aiding systems for air-traffic controllers, represent only a few of the numerous domains in which powerful new automation technologies have been introduced. The benefits that have been reaped from this technological revolution have been many. At the same time, automation has not always worked as planned by designers, and many problems have arisen--from minor inefficiencies of operation to large-scale, catastrophic accidents. Understanding how humans interact with automation is vital for the successful design of new automated systems that are both safe and efficient. The influence of automation technology on human performance has often been investigated in a fragmentary, isolated manner, with investigators conducting disconnected studies in different domains. There has been little contact between these endeavors, although principles gleaned from one domain may have implications for another. Also, with a few exceptions, the research has tended to be empirical and only theory-driven. In recent years, however, various groups of investigators have begun to examine human performance in automated systems in general and to develop theories of human interaction with automation technology. This book presents the current theories and assesses the impact of automation on different aspects of human performance. Both basic and applied research is presented to highlight the general principles of human-computer interaction in several domains where automation technologies are widely implemented. The major premise is that a broad-based, theory-driven approach will have significant implications for the effective design of both current and future automation technologies. This volume will be of considerable value to researchers in human
And Applications To The Human-Computer Interface Michael E. Fotta AT&T Communications 16th FIr. Atrium II, Cincinnati, OH 45202 Artificial intelligence (AI) programs represent knowledge in a fashion similar to human knowledge and the activities of an AI system are closer to human behavior than that of traditional systems. Thus, AI enables the computer to act more like a human instead of making the human think and act more like a computer. This capability combined with applying human factors concepts to the interface can greatly improve the human-computer interface. This paper provides an intro duction to artificial intelligence and then proposes a number of methods for using AI to improve the human-machine inter action. AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE Definition There are many definitions of artificial intelligence (AI) running from the very general to the very detailed. Perhaps the most well accepted general definition is that by Elaine Rich: "Artificial intelligence is the study of how to make computers do things at which, at the moment, people are better", (Rich, 1983). A good example of a detailed definition is provided by the Brattle Research Corporation; "In simplified terms, artificial intelligence works with pattern matching methods which attempt to describe objects, events or pro cesses in terms of their qualitative features and logical and compu tational relationships," (Mishkoff, 1985).
This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Intelligent Human Computer Interaction, IHCI 2017, held in Evry, France, in December 2017. The 15 papers presented together with three invited papers were carefully reviewed and selected from 25 submissions. The conference is forum for the presentation of technological advances and research results at the crossroads of human-computer interaction, artificial intelligence, signal processing and computer vision. This book is open access under a CC BY license.
Animal Vigilance builds on the author's previous publication with Academic Press (Social Predation: How Group Living Benefits Predators and Prey) by developing several other themes including the development and mechanisms underlying vigilance, as well as developing more fully the evolution and function of vigilance. Animal vigilance has been at the forefront of research on animal behavior for many years, but no comprehensive review of this topic has existed. Students of animal behavior have focused on many aspects of animal vigilance, from models of its adaptive value to empirical research in the laboratory and in the field. The vast literature on vigilance is widely dispersed with often little contact between models and empirical work and between researchers focusing on different taxa such as birds and mammals. Animal Vigilance fills this gap in the available material. - Tackles vigilance from all angles, theoretical and empirical, while including the broadest range of species to underscore unifying themes - Discusses several newer developments in the area, such as vigilance copying and effect of food density - Highlights recent challenges to assumptions of traditional models of vigilance, such as the assumption that vigilance is independent among group members, which is reviewed during discussion of synchronization and coordination of vigilance in a group - Written by a top expert in animal vigilance
Of the myriad tasks that the brain has to perform, perhaps none is as crucial to the performance of other tasks as attention. A central thesis of this book on the cognitive neuroscience of attention is that attention is not a single entity, but a finite set of brain processes that interact mutually and with other brain processes in the performance of perceptual, cognitive, and motor skills.After an introductory part I, the book consists of three parts. Part II, Methods, describes the major neuroscience methods, including techniques used only with animals (anatomical tract tracing, single-unit electrophysiology, neurochemical manipulations), noninvasive human brain-imaging techniques (ERPs, positron emission tomography, and functional magnetic resonance imaging), and studies with brain-damaged individuals. This part also includes a chapter on the computational modeling of attention. Part III, Varieties of Attention, looks at three major components of attention from the cognitive neuroscience perspective: selection, vigilance, and control. It also discusses links to memory and language. Finally, part IV, Development and Pathologies, discusses the application of findings from the previous sections to the analysis of normal and abnormal development and to pathologies of attention such as schizophrenia and attention deficit disorders. Contributors Edward Awh, Gordon C. Baylis, Jochen Braun, Dennis Cantwell, Vincent P. Clark, Maurizio Corbetta, Susan M. Courtney, Francis Crinella, Matthew C. Davidson, Gregory J. DiGirolamo, Jon Driver, Jane Emerson, Pauline Filipek, Ira Fischler, Massimo Girelli, Pamela M. Greenwood, James V. Haxby, Mark H. Johnson, John Jonides, Julian S. Joseph, Robert T. Knight, Christof Koch, Steven J. Luck, Richard T. Marrocco, Brad C. Motter, Ken Nakayama, Orhan Nalcioglu, Paul G. Nestor, Ernst Niebur, Brian F. O'Donnell, Raja Parasuraman, Michael I. Posner, Robert D. Rafal, Trevor W. Robbins, Lynn C. Robertson, Judi E. See, James Swanson, Diane Swick, Don Tucker, Leslie G. Ungerleider, Joel S. Warm, Maree J. Webster, Sharon Wigal
A detailed and critical treatment of research in sustained attention or vigilance by specialists in each sub-area. Provides a thorough overview of the area with many suggestions for future research. Extensively reviews the difficult problems in real-world applications in areas such as quality control, air-traffic control, and nuclear power plant regulation. Includes an extensive bibliography.
Neurological Skills: A Guide to Examination and Management in Neurology describes the neurological examination and its pitfalls, discussing how physical signs or lack of them can be used to substantiate or refute the hypothesis generated whilst listening to the patient's own account of affairs. This book discusses the first steps in the management of neurological conditions, followed by descriptions of common problems such as headache, attacks of loss of consciousness, memory loss, visual symptoms, facial pain, and vertigo. Severe medical conditions that include tumors, cancer, head injury, strokes, parkinson's disease, involuntary movements, multiple sclerosis, peripheral neuropathy, and diabetes mellitus are also deliberated. This text likewise covers other clinical disorders such as neurosyphilis, granulomas, dysarthria, paraesthesia, gait disorder, and fatigue. This publication is valuable to neurologists and medical students intending to acquire basic knowledge of neurological examination.
Neuroergonomics can be defined as the study of brain and behavior at work. It combines two disciplines--neuroscience, the study of brain function, and human factors, the study of how to match technology with the capabilities and limitations of people so they can work effectively and safely. The goal of merging these two fields is to use the startling discoveries of human brain and physiological functioning both to inform the design of technologies in the workplace and home, and to provide new training methods that enhance performance, expand capabilities, and opitimize the fit between people and technology. Research in the area of neuroergonomics has blossomed in recent years with the emergence of noninvasive techniques for monitoring human brain function that cna be used to study various aspects of human behavior in relation to technology and work, including mental workload, visual attention, working memory, motor control, human-automation interaction, and adaptive automation. This volume will provide the first systematic overview of this emerging area, describing the theoretical background, basic research, major methods, as well as the new and future areas of application. This collection will benefit a number of readers: the experienced researcher investigating related questions in human factors and cognitive neuroscience, the student wishing to get a rapid but systematic overview of the field, and the designer interested in novel approaches and new ideas for application. Researchers in human factors and ergonomics, neuroscience, cognitive psychology, medicine, industrial engineering, and computer science will find this volume most helpful.