Akademik Veri Yönetim Sistemi
International Meeting of Psychonomic Society, Amsterdam, Hollanda, 10 - 13 Mayıs 2018, ss.50
The
speed-accuracy trade-off (SAT), defined as a tendency to trade
response time for accuracy and vice versa, is a common problem
in two-choice decision tasks. Employing a response deadline
procedure provides a full time-course function which describes
how cognitive processing unfolds over time. The response
deadline procedure allows unbiased estimates of accuracy and
speed independent from each other by signalling participants to
respond in a controlled condition. In this investigation, a Bayesian
model is proposed to estimate the accuracy and speed parameters of SAT functions obtained from the response deadline procedure.
The proposed model is derived from a Bayesian signal detection
framework and defines accuracy as an exponential growth function
of total processing time. The proposed model was applied to both
hypothetical and perceptual data sets, and the obtained parameter
estimates were evaluated for validity. The findings suggest that the
proposed Bayesian framework can provide an effective approach
to model SAT curves.