ECE 51100 - PsychophysicsLecture Hours: 3 Credits: 3
CMPE Special Content Elective
EE Elective - Special Content
Normally Offered: Each Fall
Must be enrolled as a junior, senior or graduate classification.
Psychophysics is the quantitative study of the relationship between a physical stimulus and perception. This course focuses on the theory and practice of assessing human performance in terms of detection, discrimination, reconstruction and identification of physical events. Furthermore, it discusses mathematical and computational modeling of the underlying psychological mechanisms. Course material is presented in the context of visual, auditory, and haptic human-machine interfaces. The laboratory component of the course enables the students to practice designing, implementing and conducting psychophysical experiments.
- Detection Theory: A User's Guide, 2nd Edition, N. A. Macmillan & C. D. Creelman, Cambridge University Press, ISBN No. 0-8058-4230-6.
- Detection Theory: A User's Guide, 1st Edition, N. A. Macmillan & C. D. Creelman, Cambridge University Press, ISBN No. 0-521-36359-4.
- Psychophysics: Method, Theory, and Application, 2nd Edition, G. A. Gescheider, Lawrence Erlbaum Associates, ISBN No. 0-89859-375-1.
Learning Outcomes:A student who successfully fulfills the course requirements will have demonstrated:
- Identify a psychophysical problem, and formulate the problem as a detection, discrimination, reconstruction or identification experiment. [1,6]
- Select an appropriate experimental paradigm. 
- Determine the range of physical parameters that are meaningful for the specific problem, and determine the experimental parameters such as number of subjects and total trials with consideration for the statistical robustness of experimental data. [1,6]
- Analyze experimental data in terms of threshold or information, and form mathematical models. [1,6]
|0.5||Introduction: Psychophysics in a Nutshell|
|0.5||Signal Detection Theory|
|1||Introduction to Information Theory|
|2||Absolute Identification Paradigm|
|2||Perception as Inverse Problems|
|1||Student Project Presentations|