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Video by Kevin D Schmidt

QuEST (2024-05-24 Joseph Houpt - Mathematical Psychology

Air Force Research Laboratory

May 24, 2024 | 01:00:41

Abstract:

I will give an overview of systems factorial technology (SFT) in the context of the broader motivations of mathematical psychology. A core principle of mathematical psychology is that the measurement of psychological phenomena is theory laden and hence our methodology should be explicitly driven by the theory. SFT is a theory driven methodology focused on measuring how cognitive systems combine distinct sources of information for use. The approach includes formal statements of four logically distinct properties that can distinguish cognitive systems, statistical models to analyze those properties, and guidelines for designing experiments to allow those statistical models to be applied. I will give examples of SFT application to testing interfaces for AI recommender systems and an example of SFT as a meta-theoretical tool applied to testing the ACT-R modeling framework.

Key Moments in the video include:
Define mathematical psychology
Precision in communication
Measurement
Mapping theoretical constructs into numbers
Circular logic
Cognitive modeling
Theory Driven Methodology
Understand how a system combines multiple sources of information
System Factorial Technology (SFT)
Architecture
Stooping Rule
Stochastic Dependence
Workload Capacity
Recap
Workload Capacity Coefficient
UCIP model
First Terminating (OR)
Exhaustive (AND)
Why use C(t)?
Line Length Judgement - Integral vs. Separable Displays
Multisensor Image Fusion
The Survivor Interaction Contrast
The Mean Interaction Contrast
Line Length
Metatheoretical Application of SFT (SFT-GMA)
Global Model Analysis (GMA)
ACT-R
ACT-R Assumptions/Properties
Conclusions
Questions