Gareth E. Miles

Learn More
GLAM-PS (Glamorgan Problem Solver) is a production system model of problem solving in the Tower of London (TOL) puzzle. It is introduced as a draft cognitive architecture that is similar to John Anderson's (1998, 2004) ACT-R, but represents system goals, long term memory and production memory modally, rather than amodally. The current paper demonstrates how(More)
Recently much effort has been dedicated to designing and implementing World Wide Web sites for virtual shopping and e-commerce. Despite this effort, relatively little empirical work has been done to determine the effectiveness with which different site designs sell products. We report three experiments in which participants were asked to search for products(More)
There is evidence that knowledge about space will reflect the details of how that space is experienced and how people interact with it. In two experiments we demonstrate that memory for items is spatially structured after their locations were learnt in a desktop virtual environment (DVE). The structure was measured using interitem priming of recognition. By(More)
Experiment 1 demonstrates that problem solving knowledge can be applied while a move is in progress in certain Tower of London (ToL) problems. A two-stage move process is often delayed in the second stage when participants have been misled by similarity to a previous problem. We suggest this is indicative of misgivings about the chosen move caused by(More)
The View Association Model (VAM) is a novel account of how interacting with a spatial layout in different ways can lead to differing representation of the space. VAM provides an account of data demonstrating the learning of different spatial associations when the same layout is learnt through 3D Virtual navigation and 2D map navigation. Embodied views of(More)
  • 1