Detection Theory


Book Description

Detection Theory: A User’s Guide is an introduction to one of the most important tools for the analysis of data where choices must be made and performance is not perfect. In these cases, detection theory can transform judgments about subjective experiences, such as perceptions and memories, into quantitative data ready for analysis and modeling. For beginners, the first three chapters introduce measuring detection and discrimination, evaluating decision criteria, and the utility of receiver operating characteristics. Later chapters cover more advanced research paradigms, including: complete tools for application, including flowcharts, tables, and software; student-friendly language; complete coverage of content area, including both one-dimensional and multidimensional models; integrated treatment of threshold and nonparametric approaches; an organized, tutorial level introduction to multidimensional detection theory; and popular discrimination paradigms presented as applications of multidimensional detection theory. This modern summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and researchers learning the material either in courses or on their own.




Detection Theory


Book Description

Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis. This book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision criteria. Some other features include: *complete tools for application, including flowcharts, tables, pointers, and software; *student-friendly language; *complete coverage of content area, including both one-dimensional and multidimensional models; *separate, systematic coverage of sensitivity and response bias measurement; *integrated treatment of threshold and nonparametric approaches; *an organized, tutorial level introduction to multidimensional detection theory; *popular discrimination paradigms presented as applications of multidimensional detection theory; and *a new chapter on ideal observers and an updated chapter on adaptive threshold measurement. This up-to-date summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and other researchers learning the material either in courses or on their own.




Auditory Perception of Sound Sources


Book Description

Auditory Perception of Sound Sources covers higher-level auditory processes that are perceptual processes. The chapters describe how humans and other animals perceive the sounds that they receive from the many sound sources existing in the world. This book will provide an overview of areas of current research involved with understanding how sound-source determination processes operate. This book will focus on psychophysics and perception as well as being relevant to basic auditory research. Contents: Perceiving Sound Sources: An Overview William A. Yost Human Sound Source Identification Robert A. Lutfi Size Information in the Production and Perception of Communication Sounds Roy D. Patterson, David R. R. Smith, Ralph van Dinther, and Tom Walters The role of memory in auditory perception Laurent Demany, and Catherine Semal Auditory Attention and Filters Ervin R. Hafter, Anastasios Sarampalis, and Psyche Loui Informational masking Gerald Kidd Jr., Christine R. Mason, Virginia M. Richards, Frederick J. Gallun, and Nathaniel I. Durlach Effects of harmonicity and regularity on the perception of sound sources Robert P. Carlyon, and Hedwig E. Gockel Spatial Hearing and Perceiving Sources Christopher J. Darwin Envelope Processing and Sound-Source Perception Stanley Sheft Speech as a Sound Source Andrew J. Lotto, and Sarah C. Sullivan Sound Source Perception and Stream Segregation in Non-human Vertebrate Animals Richard R. Fay About the editors: William A. Yost, Ph.D., is Professor of Psychology, Adjunct Professor of Hearing Sciences of the Parmly Hearing Institute, and Adjunct Professor of Otolaryngology at Loyola University of Chicago. Arthur N. Popper is Professor in the Department of Biology and Co-Director of the Center for Comparative and Evolutionary Biology of Hearing at the University of Maryland, College Park. Richard R. Fay is Director of the Parmly Hearing Institute and Professor of Psychology at Loyola University of Chicago. About the series: The Springer Handbook of Auditory Research presents a series of synthetic reviews of fundamental topics dealing with auditory systems. Each volume is independent and authoritative; taken as a set, this series is the definitive resource in the field.




Detection of Signals in Noise


Book Description

Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of hypothesis testing for the detection of signals and the fundamentals required for statistical detection of signals in noise. Problem exercises, references, and a supplementary bibliography are included after each chapter. Students taking a graduate course in signal detection theory.




Auditory Processing of Complex Sounds


Book Description

Originally published in 1987, this book is the result of a workshop on the processing of complex sounds held in 1986. All of the important contributions that are being made to understanding auditory processing of complex sounds could not be included in a single volume. However, the chapters do touch base with many of the lines of research and theory on complex sound and its perception at the time, and was felt that they should provide both food for thought and a broad introduction to the literature on a topic that the editors were sure would be studied intensely in the following couple of decades.







Psychophysical Judgment and Measurement


Book Description

Handbook of Perception, Volume II: Psychophysical Judgment and Measurement brings together a very large, diverse, and widely scattered literature on human perception, with emphasis on psychophysical judgement and measurement. The book reviews the history of research on choice, judgement, and measurement in order to provide a background for contemporary work. This volume is organized into five sections encompassing 14 chapters and begins with a historical background on psychophysics and the evolution of thinking about the central measurement problem in judgement. The basic psychological context in which choice and judgement occur is considered next, touching on topics such as the problem of information selection and the sources of bias and variability in judgemental processes in relation to memory. The chapters that follow discuss the theoretical frame of measurement models and their applications. In particular, examples of algebraic fundamental measurement, algebraic derived measurement, and probabilistic derived measurement are given. The book also introduces the reader to various psychophysical scaling methods and theories of scaling. This book will serve as a basic source and reference work for psychologists and natural scientists, as well as for anyone in the arts or sciences or those who are interested in human perception.




Auditory and Visual Pattern Recognition


Book Description

The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem – a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.