Systems Factorial Technology

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.

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.