A dynamic interface adaptation approach for accessible immersive environments

Abstract

Current trends in context-Aware computing have altered the static nature of interfaces and equipped them with the ability to adapt to the physical or social context. This paper investigates new paradigms towards cognitive context-Awareness which relies on adaptation and personalization factors of more explicit interfaces oriented by individuals' cognitive processes. The main objective is to propose a smooth transition from existing interface design practices to advanced adaptation techniques concerning interfaces' design, based on cognitive abilities' inclination. To prove this, a group of young users, elderly and MCI positives, were asked to perform series of common tasks in a Metaverse interface design. A prediction model was developed to categorize users based on the way they interact with the interface. The outcomes of the interaction pattern analysis serve as the criterion based on which the proposed novel interaction-Aware interface can adapt users' abilities to maximize accessibility and comfort.