Speaking to remember: Model-based adaptive vocabulary learning using automatic speech recognition
Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning
In this manuscript, we describe how the SlimStampen algorithm can be used to trace memory decline in healthy aging and mild cognitive impairment.
Three levels at which the user’s cognition can be represented in artificial intelligence
Prior Knowledge Norms for Naming Country Outlines: An Open Stimulus Set
Breaking New Ground in Computational Psychiatry: Model-Based Characterization of Forgetting in Healthy Aging and Mild Cognitive Impairment
In this manuscript, we describe how the SlimStampen algorithm can be used to trace memory decline in healthy aging and mild cognitive impairment.
Improving Adaptive Learning Models Using Prosodic Speech Features
In this project, we explore the possibility of improving models of memory retrieval by exploiting information present in speech signals.
Optimizing Fact-Learning with a Response-Latency-Based Adaptive System
Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator.
Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data
Alleviating the cold start problem in adaptive learning using data-driven difficulty estimates
