Akademik Veri Yönetim Sistemi
Annual Meeting of the Society for Mathematical Psychology, Wisconsin, Amerika Birleşik Devletleri, 21 - 23 Temmuz 2018
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 probability matching and item-recognition 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.