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A Survey on Accessible Context-Aware Systems

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Technological Trends in Improved Mobility of the Visually Impaired

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

At the present time, 15% of the growing world population is estimated to have disabilities and special needs. Disabilities can seriously limit participation in regular life activities, such as controlling home facilities, using transportation services, joining social events, accessing educational contents, to name but a few. With the advancement in ubiquitous and pervasive computing, context-aware systems (CAS) are gaining much attention and demonstrating a stronger association with applications for people with disability. Modern CAS tend to minimize user interactions with the system and provide seamless services, automated awareness, and ambient intelligence and monitoring. CAS for people with disability can detect the surrounding environment, identify an appropriate user interface, interact, and service the user depending on the situation. Nevertheless, a large number of investigations on CAS for people with disability are presented in the literature, limited systems are practically available in the market. In this paper, we survey the literature to thoroughly analyze, evaluate, and critique state-of-the-art research in accessible CAS. Systems are classified according to the type of disability; besides, many interaction models are examined and strategies for making CAS accessible are identified. The investigation confirms the need for frameworks that enable improving security aspects, better exploiting modern hardware systems, performing reliable verification, and further supporting system customization and adaptation.

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Authors and Affiliations

  1. Department of Computer Science and Information Systems, American University of Kuwait, Salmiya, Kuwait

    Iyad Abu Doush

  2. Computer Sciences Department, Yarmouk University Irbid, Irbid, Jordan

    Iyad Abu Doush

  3. Electrical and Computer Engineering Department, Rafik Hariri University, Mechref, Lebanon

    Issam Damaj

  4. Department of Information Technology, Al-Huson University College, Al-Balqa Applied University, Al-Huson, Irbid, Jordan

    Mohammed Azmi Al-Betar

  5. Department of Computer Science, Al-Aqsa University, Gaza, Palestine

    Mohammed A. Awadallah

  6. Department of Computer Science, Yarmouk University, Irbid, Jordan

    Ra’ed M. Al-khatib

  7. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Alaa Eddin Alchalabi

  8. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Asaju L. Bolaji

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  1. Iyad Abu Doush
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  2. Issam Damaj
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  4. Mohammed A. Awadallah
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  6. Alaa Eddin Alchalabi
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  7. Asaju L. Bolaji
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Correspondence to Iyad Abu Doush .

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  1. ARC4DigiT – Applied Research Center for Digital Transformation, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sara Paiva

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Doush, I.A. et al. (2020). A Survey on Accessible Context-Aware Systems. In: Paiva, S. (eds) Technological Trends in Improved Mobility of the Visually Impaired. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-16450-8_2

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