Visualization Techniques Through Search Interfaces in Learning Object Repositories

Abstract

In this paper, it is presented a study to evaluate and compare the effectiveness of eight different interfaces based on visualization techniques to carry out searching digital resources according to knowledge area and knowledge representation scheme. The navigation structure is based on hi­erarchical taxonomic representation through the use of Art and Architecture Thesaurus (AAT). It was adopted principles of Human Computer In­teraction (HCI) for the development of search interfaces through information visualization tech­niques. Finally, it will be presented preliminary results in order to evaluate the most representa­tive aspects to carry out the development of visu­al search interfaces of learning objects in digital repositories, according to principles of visualiza­tion techniques and hierarchic taxonomic classi­fication.