We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach is grounded in the world, learning by apprenticeship from routes through a map paired with English descriptions. Lacking an explicit alignment between the text and the reference path makes it difficult to determine what...

We explore whether interactive navigational behaviours can be used as a reliable and effective source to measure the progress, achievement, engagement of learning process. To do this, we propose data-driven methodology involving sequential pattern mining thematic analysis low-level interactions. applied method on an online platform which involved 193 students resulting in six that are significa...

OBJECTIVE We developed visual motion evoked potential (EP) measures related to navigational impairment in Alzheimer disease (AD) and have now applied these methods to explore the role of elementary perceptual and attentional mechanisms mediating these effects. METHODS Older adult (OA) control subjects and AD patients underwent visual motion perceptual testing, attentional performance monitori...