{"pk":29226,"title":"Modeling practice-related reaction time speedup using hierarchical Bayesianmethods: Evidence for a process-shift account","subtitle":null,"abstract":"In skill-learning tasks, reaction times (RTs) typically decrease with practice. For example, in alphabet arithmetic tasks(e.g. J + 7 = ?), learners respond correctly (e.g. Q) faster on later than on earlier trials. A number of mathematicalmodels have been proposed to account for the functional form of practice-related RT speedup. We aim to evaluate whichof two candidates better fits observed speedup data for individual learners across several tasks. In particular, we comparea process-shift account in which learners initially execute an algorithm in constant time, but as trials accumulate, exhibitpower-law speedup as they directly retrieve a memorized solution to a delayed exponential model in which RTs decreaseexponentially after learners eventually achieve insight into a task-appropriate strategy. Using hierarchical Bayesian modelsof each account (which can flexibly model learning in individual subjects), we show that the process-shift model betterpredicts out-of-sample data than the delayed-exponential model.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/2b92m3j5","frozenauthors":[{"first_name":"Jarrett","middle_name":"","last_name":"Lovelett","name_suffix":"","institution":"University of California San Diego","department":""},{"first_name":"Ed","middle_name":"","last_name":"Vul","name_suffix":"","institution":"University of California San Diego","department":""},{"first_name":"Tim","middle_name":"","last_name":"Rickard","name_suffix":"","institution":"University of California San Diego","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29226/galley/19097/download/"}]}