Tecnologias assistivas baseadas em computação ubíqua para pessoas com nanismo em ambientes internos: uma revisão de escopo

Abstract

Ubicomp (Ubiquitous Computing) and AmI (Ambient Intelligence) show great potential for the development of AT (Assistive Technologies) aimed at promoting autonomy and quality of life for PwD (people with disabilities). However, a significant gap is observed in the literature regarding the application of these technologies to the specific needs of people with dwarfism, especially in indoor environments, where barriers related to reach and ergonomics are recurrent. This study aims to map the scope, extent, and nature of the scientific production on ATs based on Ubicomp and AmI targeted, or potentially adaptable, to people with dwarfism in indoor settings, following the PRISMA-ScR protocol and using the PCC (Population, Concept, Context) model. Searches were conducted in consolidated databases — ACM Digital Library, IEEE Xplore, ScienceDirect, SpringerLink, and other complementary sources — considering publications between 2013 and 2025, with filters for language and document type. The selection involved screening by title and abstract, followed by full-text reading of eligible studies. The analysis revealed extensive literature on ATs and ubiquitous technologies focused on older adults and people with motor, visual, auditory, and cognitive disabilities, including applications in smart homes and AAL (Ambient Assisted Living) environments. Inclusive design approaches, home automation, environmental sensors, and adaptive control systems were identified, but no study focused directly on people with dwarfism using ubiquitous technologies. Most of the few works on dwarfism address physical architectural barriers without proposing technological solutions aimed at digital and environmental accessibility. It is concluded that a promising and yet unexplored research field exists at the intersection of Ubicomp, AmI, and accessibility for people with dwarfism, making it essential that future studies prioritize co-design of personalized technological solutions, ergonomic interfaces, and sensory systems adapted to their specific needs.