Systems Factorial Technology

Systems Factorial Technology : A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms

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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.
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Product details

  • Hardback | 428 pages
  • 152 x 229 x 27.94mm | 820g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0128043156
  • 9780128043158

Table of contents

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
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About Mario Fific

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).
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