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Accessibility Barometer
Digital Accessibility for People with Special Needs:
Methodology, Conceptual Models and Innovative EcoSystems


Digital Accessibility for People with Special Needs: Conceptual Models and Innovative Ecosystems

Autor(s)

Maya Dimitrova, Galina Bogdanova, Nikolay Noev, Negoslav Sabev, Georgi Angelov, Yasen Paunski, Mirena Todorova-Ekmekci, Aleksandar Krastev

Published at

8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol, Croatia, 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023

Abstract

    Digital technologies in present day interconnect globally, providing a dynamic environment to support the educational needs of any learner within a novel technological ecosystem. The paper discusses the identified aspects of providing relevant digital accessibility to learners with various needs by this ecosystem, such as sensor support, knowledge provision from a variety of digital and non-digital repositories, and support to the motivation of the learner to acquire better knowledge in the classroom, museum, or in rehabilitation. A novel tool for assessment of such technological ecosystems, called Accessibility Barometer, is described.

Keywords

Mechatronics; Service robots; Biological system modeling; Ecosystems; Education; Medical services; Robot sensing systems; Technological ecosystem; accessibility barometer; special educational needs; healthcare; robot assistants

Links

https://doi.org/10.23919/SpliTech58164.2023.10193524

https://ieeexplore.ieee.org/document/10193524

Cite as

Dimitrova, M., Bogdanova, G., Noev, N., Sabev, N., Angelov, G., Paunski, Y., Todorova-Ekmekci, M., Krastev, A. (2023). Digital Accessibility for People with Special Needs: Conceptual Models and Innovative Ecosystems. 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol, Croatia, 2023, Institute of Electrical and Electronics Engineers (IEEE), 2023, ISBN:Electronic ISBN:978-953-290-128-3 Print on Demand(PoD) ISBN:979-8-3503-2320-7, DOI:10.23919/SpliTech58164.2023.10193524, 1-5

The publication presents research on the project