Syllabus
what is psychophysics, history (Fechner, Weber, internal and external psychophysics) and contemporary concepts dichotomies in psychophysics, classification scheme, overview of methods used method of limits, N-AFC, 2AFC same/different, method of adjustment, method of triads, magnitude estimation adaptive methods in psychophysical measurements working with R and evaluation of psychophysical data in R psychometric functions, theories behind psychometric functions signal detection theory (SDT) - d', bias use of psychophysics in practice. SDT in real applications (population-level testing, COVID-19) subjective scales (scaling, triplet paradigm, spatial arrangement method) working with PsychoPy - designing experiments, overview of best practices
Annotation
In this course, students are introduced to modern methods of psychophysics. The emphasis is on understanding the basic principles and gaining practical skills to apply analysis from psychophysics methods to their own data.