An iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive data.

ABSTRACT: Online cognitive tasks are gaining traction as scalable and cost-effective alternatives to traditional supervised assessments. However, variability in peoples' home devices, visual and motor abilities, and speed-accuracy biases confound the specificity with which online tasks can measure cognitive abilities. To address these limitations, we developed IDoCT (Iterative Decomposition of Cognitive Tasks), a method for estimating domain-specific cognitive abilities and trial-difficulty scales from task performance timecourses in a data-driven manner while accounting for device and visuomotor latencies, unspecific cognitive processes and speed-accuracy trade-offs. IDoCT can operate with any computerised task where cognitive difficulty varies across trials. Using data from 388,757 adults, we show

SUBMITTER: Giunchiglia V 

PROVIDER: S-EPMC11576988 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature