This paper describes a study that seeks to explore the correlation between eye movements and the interpretation of geometric shapes. This study is intended to inform the development of an eye tracking interface for computational tools to support and enhance the natural interaction required in creative design. A common criticism of computational design tools is that they do not enable manipulation of designed shapes according to all perceived features. Instead the manipulations afforded are limited by formal structures of shapes. This research examines the potential for eye movement data to be used to recognise and make available for manipulation the perceived features in shapes. The objective of this study was to analyse eye movement data with the intention of recognising moments in which an interpretation of shape is made. Results suggest that fixation duration and saccade amplitude prove to be consistent indicators of shape interpretation.

Even though information and communications technology arises as a powerful tool for the improvement of education, at present, e-learning does not improve learning methods but merely repeats the problems of traditional education. This work proposes a new educational model that tries to tackle these problems. Through the use of a global ontology as basis of a knowledge management system, this system allows us to establish the largest number of relationships within the available information, and its classification. From this knowledge support, learning is planned through action, which results in the execution of tasks that are based on computer games strategies. The system interacts with the student to motivate him, showing him the information adapted to his preferences.