Design Analytics of Complex Communication Systems Involving Two Different Sensory Disabilities

Abstract

The design of a robust communication among two different sensory disabilities (Deaf vs. Blind) remains an emerging field of research in disability healthcare communication system design. As an important part of modern technology, android and iPhone applications are frequently used in designing such communication systems. However, there is no 'one-size-fits-all' in case of different sensory disability health communication design. Hence, an in-depth understanding of their requirement, media preferences, similarity and difference and up-to-date technology usability are plausible towards universal and personalized communication system design. This research addresses such complex issues and performs a study involving two different types of disabilities (deaf and blind) communication. As a part of healthcare analytics, critical incidences are recorded and corresponding complexities are measured in order to evaluate communication protocol with social signal processing. Communication flow diagram, complexity analysis and critical incidence are quantified to improve communication protocols. Moreover, the uniqueness of disability can be personalized through this process which has valuable implications in rehabilitation and multi-purpose healthcare communication device development.