Análise acerca da completude dos estudos sobre arquitetura da informação em ambientes web

Abstract

This work aims to evaluate how complete are the studies that propose to analyze information architecture (AI) in virtual environments. For this, the theoretical framework was elaborate through a literature review, which presented areas of knowledge that contribute to the discipline of AI, such as Human-Computer Interaction (IHC), Semiotics, Cognitive Engineering and Usability, in addition to presenting methodologies. AI analysis in virtual environments. Therefore, the aim of this study is to produce a comparative table between the theory pointed out in the study and the methodology used. About the methodology, this study is characterized as an exploratory research because there is a need to explain the theme so that the research can then be delineated, and descriptive, because there is a qualitative data collection of articles to achieve the goal. The studies analyzed for this research were collected from journals of the Information Science area, articles published from 2004 to 2018. Ten articles were collected, in which the theory they used for AI analysis was identified and how it was actually evaluated, and from this, a theoretical framework was produced where a comparison between both data was presented. From this research, it was possible to notice that most studies do not evaluate AI completely, and do not involve usability as a requirement for virtual environment validation.