The use of technological tools for the inclusion of people with auditory disabilities today is booming, with a significant advance in the close caption for television, the cochlear implant, dictionaries of sign languages apps (SL) in apps, translators of voice-to-text or channels of videos that promote the learning of SL, but without a visible impact in the communities of deaf people or society in general, is still not perceived this technology being adopted everywhere to promote equal opportunities and the well-being of people with disabilities in the Smart cities, due to many of the developments do not pursue the research, usability analysis or the creation of models that help to understand, replicate, improve, or build strategies to ensure an inclusion based on technology and the immersion to the deaf culture by listeners The systematic review to research conducted in this topic helps us understand the implications and challenges faced To follow with innovation in the area of technologies for inclusion and understand that not only it is providing technology for a deaf person, but to create an environment that promotes culture to improve communication between inhabitants of a Smart cities. For this reason the present article is a systematic revision centered in technological research adapted for the access of the information and the communication of people with hearing loss or deaf; presented under Kitchenham´s methodology; the information is searched and classified through the analysis of clusters k-means which summary is presented under the selection and classification of 350 articles published since 2013 until May 2017 with looks towards the analysis of methodologies or models that promote the inclusion of deaf people in society with the usage of technological tools in order to start the guidelines to create a technological-social model to promote the improvement of communication between deaf and hearing people.
Most of the technological resources used in a Smart Building environment are automated systems where sensors and their usability become a "black box" for their personnel (end user of these systems), giving in them a wrong impression about Who must be taking care of these resources and services? (These users think these services must be only provided and controlled by the own building), losing the culture of the correct usage of the regular services such as artificial climate, water services, electricity services, and the care of plants outside of these buildings. This paradigm of interaction between the user and the maintenance of resources of a smart building still needs improvement. For that reason, this current research is proposing the inter-connection of following resources: use of sensors, communication protocols, collections of MongoDB data, speech to text, text to speech and animations that represents feelings (sadness, happiness, worry) through the usage of Augmented Reality (AR) and IBM Watson conversation (Conversational Artificial Intelligence A. I.). The results show the architecture and favorable results about the viability to connect the services with natural interfaces. This approach helps and increments the user interaction with the places and objects that are around in the context of a Smart Building to understand the importance of the resources that are administrated and create a collective conscience through the correct usage of resources.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.