Systems Factorial Technology
A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms
Published on 7. April 2017
Book
Hardback
428 pages
978-0-12-804315-8 (ISBN)
Description
Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms explores the theoretical and methodological tools used to investigate fundamental questions central to basic psychological and perceptual processes. Such processes include detection, identification, classification, recognition, and decision-making.
This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience.
Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory.
This book collects the tools that allow researchers to deal with the pervasive model mimicry problems which exist in standard experimental and theoretical paradigms and includes novel applications to not only basic psychological questions, but also clinical diagnosis and links to neuroscience.
Researchers can use this book to begin using the methodology behind SFT and to get an overview of current uses and future directions. The collected developments and applications of SFT allow us to peer inside the human mind and provide strong constraints on psychological theory.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 231 mm
Width: 155 mm
Thickness: 28 mm
Weight
862 gr
ISBN-13
978-0-12-804315-8 (9780128043158)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Daniel Little | Nicholas Altieri | Mario Fific
Systems Factorial Technology
A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms
E-Book
04/2017
Academic Press
€91.95
Available for download
Persons
Daniel R. Little is a Senior Lecturer at the University of Melbourne. He directs the Knowledge, Information & Learning Laboratory in the Melbourne School of Psychological Sciences. His research focuses on the mathematical modeling of complex perceptual decisions in categorization and recognition. Daniel received his PhD in 2009 from the University of Western Australia. Nicholas Altieri, MS PhD, is an Assistant Professor of Speech Language Pathology at Idaho State University. He currently co-directs the EEG laboratory in the Department of Communication Sciences and Disorders. His research specializes in multi-sensory perception, cognitive neuroscience, speech recognition, and statistical modeling of psychological processes. Nicholas studied as a graduate student for five years in James Townsend's laboratory where he began working with SFT, and continues to apply its theoretical fundamentals across a wide range of research topics. Mario Fific is an associate Professor of Department of Psychology at Grand Valley State University, Michigan. He directs the Cognitive Science and Decision-Making Laboratory. His research focuses on the development of a highly diagnostic and sophisticated methodology for uncovering mental architecture, known as systems factorial technology (SFT). SFT allows for precise determination of the fundamental properties of mental processes underlying cognitive operations in categorization, face detection, reading and visual/memory search. Prof. Cheng-Ta Yang is an Associate Professor of Department of Psychology, National Cheng Kung University. He got his PHD degree at Department of Psychology, National Taiwan University in 2009. His primary research interests include attention, visual short-term memory, perceptual decision-making, and cognitive modeling. He has spent more than 10 years on studying Systems Factorial Technology and its application. Recently, he received several awards such as Ta-You Wu Memorial Award from National Science Council (2013), The Outstanding Young Persons (2015), and Academia Sinica Research Award for Junior Research Investigators (2016).
Editor
Psychological Sciences, The University of Melbourne, Victoria, Australia
Idaho State University, Department of Communication Sciences and Disorders, Pocatello, ID, USA
Grand Valley State University, Dept. of Psychology, Allendale, MI, USA
National Cheng Kung University, Department of Psychology and Insitute of Cognitive Science, Taiwan (R.O.C.)
Content
I. Introduction to Systems Factorial Technology
1. Historical Foundations and a Tutorial Introduction to Systems Factorial Technology
Nicholas Altieri, Mario Fific, Daniel Little and Cheng-Ta Yang
2. Stretching Mental Processes: An Overview of and Guide for SFT Applications
Mario Fific and Daniel Little
II. Recent Advances in Systems Factorial Technology
3. Statistical analyses for Systems Factorial Technology
Joseph Houpt and Devin Michael Burns
4. Development and Applications of the Capacity-Function that Measures Accuracy
Nicholas Altieri
5. Selective Influence And Categorical Separability (Perceptual Separability) In Perception And Cognition: Similarities And Distinctions
James T. Townsend, Yanjun Liu and Jennifer Lentz
6. Bridge-Building: SFT Interrogation of Major Cognitive Phenomena
Daniel Algom, Daniel Fitousi and Ami Eidels
7. An Examination of Task Demands on the Elicited Processing Capacity
Leslie Blaha
8. An Information Processing Perspective to Understanding Conflicting Information
Xue Jun Cheng, Sarah Moneer, Nicole Elise Christie and Daniel Little
III. Applications of Systems Factorial Technology
9. Applying the Double Factorial Paradigm to Detection and Categorization Tasks: An Example Using Audiovisual Speech Perception
Nicholas Altieri
10. Attention and Perceptual Decision Making
Cheng-Ta Yang
11. Are Two Ears Always Better than One? The Capacity Function Says No
Yuan He, Jennifer Lentz and James T. Townsend
12. Logical-rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing
David william Griffiths, Anthea Grace Blunden and Daniel Little
13. Applying Systems Factorial Technology to Discrete Accumulators with Varying Thresholds
Bradley Harding, Vincent LeBlanc, Marc-Andre Goulet and Denis Cousineau
14. Can Confusion-Data Inform Systems Factorial Technology-Like Inference? A Comparison of SFT and Accuracy-Based Measures in Comparable Experiments
Zachary L. Howard, Ami Eidels, Noah H. Silbert, and Daniel R. Little
15. The Advantages of Combining the Simultaneous-Sequential Paradigm with Systems Factorial Technology
Piers Douglas Howe and Adam Ferguson
IV. Bridging Levels of Explanation
16. The Continuing Evolution of Systems Factorial Theory: Connecting Theory with Behavioral and Neural Data
Michael Wenger, Erin Ingvalson and Stephanie Rhoten
17. Using Systems Factorial Technology to Elucidate the "f" of Clinical fMRS (functional Magnetic Spectroscopy
Reggie Taylor, Jean Theberge, Peter Williamson, Maria Densmore and Richard Neufeld
18. Applications of Capacity Analysis into Social Cognition Domain
Alla Yankouskaya, Jie Sui, Zahra Moradi, Pia Rotshtein, and Glyn W. Humphreys
1. Historical Foundations and a Tutorial Introduction to Systems Factorial Technology
Nicholas Altieri, Mario Fific, Daniel Little and Cheng-Ta Yang
2. Stretching Mental Processes: An Overview of and Guide for SFT Applications
Mario Fific and Daniel Little
II. Recent Advances in Systems Factorial Technology
3. Statistical analyses for Systems Factorial Technology
Joseph Houpt and Devin Michael Burns
4. Development and Applications of the Capacity-Function that Measures Accuracy
Nicholas Altieri
5. Selective Influence And Categorical Separability (Perceptual Separability) In Perception And Cognition: Similarities And Distinctions
James T. Townsend, Yanjun Liu and Jennifer Lentz
6. Bridge-Building: SFT Interrogation of Major Cognitive Phenomena
Daniel Algom, Daniel Fitousi and Ami Eidels
7. An Examination of Task Demands on the Elicited Processing Capacity
Leslie Blaha
8. An Information Processing Perspective to Understanding Conflicting Information
Xue Jun Cheng, Sarah Moneer, Nicole Elise Christie and Daniel Little
III. Applications of Systems Factorial Technology
9. Applying the Double Factorial Paradigm to Detection and Categorization Tasks: An Example Using Audiovisual Speech Perception
Nicholas Altieri
10. Attention and Perceptual Decision Making
Cheng-Ta Yang
11. Are Two Ears Always Better than One? The Capacity Function Says No
Yuan He, Jennifer Lentz and James T. Townsend
12. Logical-rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing
David william Griffiths, Anthea Grace Blunden and Daniel Little
13. Applying Systems Factorial Technology to Discrete Accumulators with Varying Thresholds
Bradley Harding, Vincent LeBlanc, Marc-Andre Goulet and Denis Cousineau
14. Can Confusion-Data Inform Systems Factorial Technology-Like Inference? A Comparison of SFT and Accuracy-Based Measures in Comparable Experiments
Zachary L. Howard, Ami Eidels, Noah H. Silbert, and Daniel R. Little
15. The Advantages of Combining the Simultaneous-Sequential Paradigm with Systems Factorial Technology
Piers Douglas Howe and Adam Ferguson
IV. Bridging Levels of Explanation
16. The Continuing Evolution of Systems Factorial Theory: Connecting Theory with Behavioral and Neural Data
Michael Wenger, Erin Ingvalson and Stephanie Rhoten
17. Using Systems Factorial Technology to Elucidate the "f" of Clinical fMRS (functional Magnetic Spectroscopy
Reggie Taylor, Jean Theberge, Peter Williamson, Maria Densmore and Richard Neufeld
18. Applications of Capacity Analysis into Social Cognition Domain
Alla Yankouskaya, Jie Sui, Zahra Moradi, Pia Rotshtein, and Glyn W. Humphreys