Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
DE
EN
Books
Journals
Events
Topic Page
Marketing
Log in
Learn more about individual access
Request company access
13th International Engine Congress 2026 | 24 + 25 February 2026

Meeting Place for the Powertrain and Sustainable Fuels Community

Take part as a speaker in the 13th International Engine Congress 2026, the Meeting Place for the Powertrain, and Sustainable Fuels Community for the exchange of experience. Submit a subject proposal online about our main subject areas: Passenger car engine technology, Commercial vehicle engine technology and Sustainable Fuels & Energy!
EXTENDED SEARCH
Log in
Top
Published in:
Read chapter Read first chapter

2020 | OriginalPaper | Chapter

2. A Survey on Accessible Context-Aware Systems

Authors : Iyad Abu Doush, Issam Damaj, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Ra’ed M. Al-khatib, Alaa Eddin Alchalabi, Asaju L. Bolaji

Published in: Technological Trends in Improved Mobility of the Visually Impaired

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Smart Cities to Improve Mobility and Quality of Life of the Visually Impaired
next chapter Smart Systems to Improve the Mobility of People with Visual Impairment Through IoM and IoMT
Literature
Abbate, S., Avvenuti, M., Bonatesta, F., Cola, G., Corsini, P., & Vecchio, A. (2012). A smartphone-based fall detection system. Pervasive and Mobile Computing, 8(6), 883–899.CrossRef
Abowd, G. D., Dey, A. K., Brown, P. J., Davies, N., Smith, M., & Steggles, P. (1999). Towards a better understanding of context and context-awareness. In Proceedings of the 1st International Symposium on Handheld and Ubiquitous Computing, HUC ’99 (pp. 304–307). London: Springer.CrossRef
Abowd, G. D., & Mynatt, E. D. (2000). Charting past, present, and future research in ubiquitous computing. ACM Transactions on Computer-Human Interaction, 7(1), 29–58.CrossRef
Ahn, S., & Kim, D. (2006). Proactive context-aware sensor networks (pp. 38–53). Berlin: Springer.
Al-Chalabi, A. E., Essa, S., Shahzad, H., & Damaj, I. (2015). A wearable and ubiquitous NFC wallet. In 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 152–157). Piscataway: IEEE.CrossRef
Al-Qudah, Z., Doush, I. A., Alkhateeb, F., Maghayreh, E. A., & Al-Khaleel, O. (2014). Utilizing mobile devices’ tactile feedback for presenting braille characters: An optimized approach for fast reading and long battery life. Interacting with Computers, 26(1), 63–74.CrossRef
Alegre, U., Augusto, J. C., & Clark, T. (2016). Engineering context-aware systems and applications: A survey. Journal of Systems and Software, 117(suppl. C), 55–83.
Aloulou, H., Mokhtari, M., Tiberghien, T., Biswas, J., & Yap, P. (2014). An adaptable and flexible framework for assistive living of cognitively impaired people. IEEE Journal of Biomedical and Health Informatics, 18(1), 353–360.CrossRef
Aly, W. H. F. (2014). MNDWSN for helping people with different disabilities. International Journal of Distributed Sensor Networks, 10(7), 489289.CrossRef
Baldauf, M., Dustdar, S., & Rosenberg, F. (2007). A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing, 2(4), 263–277.CrossRef
Barkhuus, L., & Dey, A. (2003). Is context-aware computing taking control away from the user? Three levels of interactivity examined (pp. 149–156). Berlin: Springer.
Beaudouin-Lafon, M. (2000). Instrumental interaction: An interaction model for designing post-wimp user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’00 (pp. 446–453).
Bellavista, P., Corradi, A., Fanelli, M., & Foschini, L. (2012). A survey of context data distribution for mobile ubiquitous systems. ACM Computing Surveys, 44(4), 24:1–24:45.
Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., & Riboni, D. (2010). A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing, 6(2), 161–180.CrossRef
Bobek, S., & Nalepa, G. J. (2017a). Uncertain context data management in dynamic mobile environments. Future Generation Computer Systems, 66, 110–124.CrossRef
Bobek, S., & Nalepa, G. J. (2017b). Uncertainty handling in rule-based mobile context-aware systems. Pervasive and Mobile Computing, 39, 159–179.CrossRef
Bozgeyikli, L., Bozgeyikli, E., Clevenger, M., Raij, A., Alqasemi, R., Sundarrao, S., et al. (2015). Vr4vr: Vocational rehabilitation of individuals with disabilities in immersive virtual reality environments. In Proceedings of the 8th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA ’15 (pp. 54:1–54:4).
Cavender, A., Trewin, S., & Hanson, V. (2008). General writing guidelines for technology and people with disabilities. ACM SIGACCESS Accessibility and Computing, 1(92), 17–22.CrossRef
Chaudary, B., & Pulli, P. (2014). Smart cane outdoor navigation system for visually impaired deaf-blind and blind persons. Journal of Communication Disorders, Deaf Studies and Hearing Aids, 125(2), 1–9.
Chen, H. (2004). An Intelligent Broker Architecture for Pervasive Context-Aware Systems. Ph.D. Thesis, University of Maryland, Baltimore County.
Damaj, I. (2007). Higher-level hardware synthesis of the Kasumi cryptographic algorithm. Journal of Computer Science and Technology, 22(1), 60–70.CrossRef
Damaj, I., & Diab, H. (2001). Performance analysis of extended vector-scalar operations using reconfigurable computing. In ACS/IEEE International Conference on Computer Systems and Applications, 2001 (pp. 227–232). Piscataway: IEEE.CrossRef
Damaj, I., & Kasbah, S. (2018). An analysis framework for hardware and software implementations with applications from cryptography. Computers & Electrical Engineering, 69, 572–584.CrossRef
Domingo, M. C. (2012). An overview of the internet of things for people with disabilities. Journal of Network and Computer Applications, 35(2), 584–596.CrossRef
Doush, I. A., Alkhateeb, F., Maghayreh, E. A., & Al-Betar, M. A. (2013a). The design of RIA accessibility evaluation tool. Advances in Engineering Software, 57, 1–7.CrossRef
Doush, I. A., Alkhateeb, F., Maghayreh, E. A., Alsmadi, I., & Samarah, S. (2012). Annotations, collaborative tagging, and searching mathematics in e-learning. CoRR abs/1211.1780.
Doush, I. A., Alshattnawi, S., Al-Tamimi, A., Alhasan, B., & Hamasha, S. (2017). ISAB: Integrated indoor navigation system for the blind. Interacting with Computers, 29(2), 181–202.
Doush, I. A., Alshattnawi, S., & Barhoush, M. (2015). Non-visual navigation interface for completing tasks with a predefined order using mobile phone: a case study of pilgrimage. International Journal of Mobile Network Design and Innovation, 6(1), 1–13.CrossRef
Doush, I. A., & Al-Bdarneh, S. (2013). Automatic semantic generation and Arabic translation of mathematical expressions on the web. International Journal of Web-Based Learning and Teaching Technologies, 8(1), 1–16.CrossRef
Doush, I. A., Bany-Mohammed, A., Ali, E., Al-Betar, M. A. (2013b). Towards a more accessible e-government in Jordan: An evaluation study of visually impaired users and web developers. Behaviour & IT, 32(3), 273–293.
Doush, I. A., & Pontelli, E. (2010). Integrating semantic web and folksonomies to improve e-learning accessibility. In Proceedings of 12th International Conference on Computers Helping People with Special Needs, ICCHP 2010, Vienna, Austria, July 14–16, 2010, Part I (pp. 376–383).
Doush, I. A., & Pontelli, E. (2013). Non-visual navigation of spreadsheets - enhancing accessibility of Microsoft Excel™. Universal Access in the Information Society, 12(2), 143–159.CrossRef
Eagle, N., & (Sandy) Pentland, A. (2006). Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10(4), 255–268.
El-Shafei, M., Shalati, A. A., Rehayel, M., & Damaj, I. (2014). HOBOT: A customizable home management system with a surveillance robot. In IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014, Toronto, ON, Canada, May 4–7, 2014 (pp. 1–7).
Fischer, G. (2012). Context-aware systems: The ‘right’ information, at the ‘right’ time, in the ‘right’ place, in the ‘right’ way, to the ‘right’ person. In Proceedings of the International Working Conference on Advanced Visual Interfaces, AVI ’12 (pp. 287–294)
Ghorbel, M., Kadouche, R., & Mokhtari, M. (2007). User & service modelling in assistive environment to enhance accessibility of dependent people. In International Conference on Information and Communication Technologies and Accessibility, ICTA’07, April, Hammamet, Tunisia.
Grguric, A., Gil, A. M. M., Huljenic, D., Car, Z., & Podobnik, V. (2016). A survey on user interaction mechanisms for enhanced living environments (pp. 131–141). Cham: Springer International Publishing.
Hasan, S. S., Chipara, O., Wu, Y. H., & Aksan, N. (2014). Evaluating auditory contexts and their impacts on hearing aid outcomes with mobile phones. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (pp. 126–133)
Hasan, S. S., Lai, F., Chipara, O., & Wu, Y. H. (2013). Audiosense: Enabling real-time evaluation of hearing aid technology in-situ. In 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 167–172). Piscataway: IEEE.
Hinze, A., & Buchanan, G. (2005). Context-awareness in mobile tourist information systems: challenges for user interaction. In International Workshop on Context in Mobile HCI at the Conference for 7th International Conference on Human Computer Interaction with Mobile Devices and Services.
Ivanov, R. (2012). RSNAVI: An RFID-based context-aware indoor navigation system for the blind. In Proceedings of the 13th International Conference on Computer Systems and Technologies, CompSysTech ’12 (pp. 313–320)
Jarrah, S. I., & Doush, I. A. (2014). Context Detection Using Machine Learning to Assist Smartphone Users with Memory Impairment. Master’s thesis, Yarmouk University, Jordan.
Kbar, G., Abidi, M. H., Hammad Mian, S., Al-Daraiseh, A. A., & Mansoor, W. (2016). A university-based smart and context aware solution for people with disabilities (USCAS-PWD). Computers, 5(3), 18.CrossRef
Kleinberger, T., Becker, M., Ras, E., Holzinger, A., & Muller, P. (2007). Ambient intelligence in assisted living: Enable elderly people to handle future interfaces. In C. Stephanidis (Ed.) Universal access in human-computer interaction. Ambient interaction, lecture notes in computer science (vol. 4555, pp. 103–112). Berlin: Springer.
Lee, H., Choi, J. S., & Elmasri, R. (2009). A classification and modeling of the quality of contextual information in smart spaces. In 2009 IEEE International Conference on Pervasive Computing and Communications (pp. 1–5).
Leem, C. S., & Kim, B. G. (2013). Taxonomy of ubiquitous computing service for city development. Personal and Ubiquitous Computing, 17(7), 1475–1483.CrossRef
Li, X., Eckert, M., Martinez, J. F., & Rubio, G. (2015). Context aware middleware architectures: Survey and challenges. Sensors, 15(8), 20570–20607.CrossRef
Lin, Q., Zhang, D., Connelly, K., Ni, H., Yu, Z., & Zhou, X. (2015). Disorientation detection by mining GPS trajectories for cognitively-impaired elders. Pervasive and Mobile Computing, 19, 71–85.CrossRef
Lukowicz, P., Nanda, S., Narayanan, V., Albelson, H., McGuinness, D. L., & Jordan, M. I. (2012). Qualcomm context-awareness symposium sets research agenda for context-aware smartphones. IEEE Pervasive Computing, 11(1), 76–79.CrossRef
Lustrek, M., Gjoreski, H., Vega, N. G., Kozina, S., Cvetkovic, B., Mirchevska, V., Gams, M. (2015). Fall detection using location sensors and accelerometers. IEEE Pervasive Computing, 14(4), 72–79.CrossRef
Manzoor, A., Truong, H. L., & Dustdar, S. (2008). On the evaluation of quality of context (pp. 140–153). Berlin: Springer.
Marangunić, N., Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95.CrossRef
Margetis, G., Antona, M., Ntoa, S., & Stephanidis, C. (2012). Towards accessibility in ambient intelligence environments. In Ambient intelligence (pp. 328–337). Berlin: Springer.CrossRef
Maxhuni, A., Muñoz-Meléndez, A., Osmani, V., Perez, H., Mayora, O., & Morales, E. F. (2016). Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients. Pervasive and Mobile Computing, 31, 50–66.CrossRef
Mehra, P. (2012). Context-aware computing: Beyond search and location-based services. IEEE Internet Computing, 16(2), 12–16.CrossRef
Mirri, S., Prandi, C., Salomoni, P., Callegati, F., & Campi, A. (2014). On combining crowdsourcing, sensing and open data for an accessible smart city. In 2014 Eighth International Conference on, Next Generation Mobile Apps, Services and Technologies (NGMAST) (pp. 294–299). Piscataway: IEEE.CrossRef
Morse, D. R., Armstrong, S., & Dey, A. K. (2000). The what, who, where, when, why and how of context-awareness. In CHI’00 Extended Abstracts on Human Factors in Computing Systems, CHI EA’00 (pp. 371–371)
Mortazavi, B., Pourhomayoun, M., Ghasemzadeh, H., Jafari, R., Roberts, C. K., & Sarrafzadeh, M. (2015). Context-aware data processing to enhance quality of measurements in wireless health systems: An application to MET calculation of exergaming actions. IEEE Internet of Things Journal, 2(1), 84–93.CrossRef
Nijdam, N. A., Han, S., Kevelham, B., & Magnenat-Thalmann, N. (2010). A context-aware adaptive rendering system for user-centric pervasive computing environments. In Melecon 2010, 15th IEEE Mediterranean Electrotechnical Conference (pp. 790–795)
Novais, P., & Carneiro, D. (2016). The role of non-intrusive approaches in the development of people-aware systems. Progress in Artificial Intelligence, 5(3), 215–220.CrossRef
Okoshi, T., Nozaki, H., Nakazawa, J., Tokuda, H., Ramos, J., & Dey, A. K. (2016). Towards attention-aware adaptive notification on smart phones. Pervasive and Mobile Computing, 26, 17–34. Thirteenth international conference on pervasive computing and communications (PerCom 2015).
Padgham, L., & Winikoff, M. (2004). Developing intelligent agent systems: A practical guide. New York: Wiley.MATHCrossRef
Pereira, A., Nunes, N., Vieira, D., Costa, N., Fernandes, H., & Barroso, J. (2015). Blind guide: An ultrasound sensor-based body area network for guiding blind people. Procedia Computer Science, 67, 403–408. Proceedings of the 6th international conference on software development and technologies for enhancing accessibility and fighting info-exclusion.
Ramos, J., Oliveira, T., Satoh, K., Neves, J., & Novais, P. (2018). Cognitive assistants—an analysis and future trends based on speculative default reasoning. Applied Sciences, 8(742), 1–23.
Rana, R., Hume, M., Reilly, J., Jurdak, R., & Soar, J. (2016). Opportunistic and context-aware affect sensing on smartphones. IEEE Pervasive Computing, 15(2), 60–69.CrossRef
Rantanen, V., Vanhala, T., Tuisku, O., Niemenlehto, P. H., Verho, J., Surakka, V., Juhola, M., & Lekkala, J. (2011). A wearable, wireless gaze tracker with integrated selection command source for human-computer interaction. IEEE Transactions on Information Technology in Biomedicine, 15(5), 795–801.CrossRef
Sanchez, L., Lanza, J., Olsen, R., Bauer, M., & Girod-Genet, M. (2006). A generic context management framework for personal networking environments. In 3rd Annual International Conference on Mobile and Ubiquitous Systems - Workshops, 2006 (pp. 1–8).
Santoro, C., Paterno, F., Ricci, G., & Leporini, B. (2007). A multimodal mobile museum guide for all. In Mobile Interaction with the Real World (MIRW 2007). pp. 21–25.
Saunier, J., & Balbo, F. (2009). Regulated multi-party communications and context awareness through the environment. Multiagent and Grid Systems, 5(1), 75.MATHCrossRef
Schilit, B., Adams, N., & Want, R. (1994). Context-aware computing applications. In Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications, WMCSA ’94 (pp. 85–90).
Shin, D. H. (2009). Ubiquitous city: Urban technologies, urban infrastructure and urban informatics. Journal of Information Science, 35(5), 515–526.CrossRef
Silva, J., Rosa, J., Barbosa, J., Barbosa, D. N. F., & Palazzo, L. A. M. (2009). Content distribution in trial-aware environments. In Proceedings of the XV Brazilian Symposium on multimedia and the web, WebMedia ’09 (pp. 15:1–15:8). New York: ACM.
Tavares, J., Barbosa, J., Cardoso, I., Costa, C., Yamin, A., & Real, R. (2016). Hefestos: An intelligent system applied to ubiquitous accessibility. Universal Access in the Information Society, 15(4), 589–607.CrossRef
Truong, H. L., & Dustdar, S. (2009). A survey on context-aware web service systems. International Journal of Web Information Systems, 5(1), 5–31.CrossRef
Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I., & Duval, E. (2012). Context-aware recommender systems for learning: A survey and future challenges. IEEE Transactions on Learning Technologies, 5(4), 318–335.CrossRef
von Ahn, L., Ginosar, S., Kedia, M., Liu, R., & Blum, M. (2006). Improving accessibility of the web with a computer game. In Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’06 (pp. 79–82)
Wagner, A., Barbosa, J. L. V., & Barbosa, D. N. F. (2014). A model for profile management applied to ubiquitous learning environments. Expert Systems with Applications, 41(4, Part 2), 2023–2034.
Zhan, K., Faux, S., & Ramos, F. (2015). Multi-scale conditional random fields for first-person activity recognition on elders and disabled patients. Pervasive and Mobile Computing, 16, 251–267. Selected papers from the twelfth annual IEEE international conference on pervasive computing and communications (PerCom 2014).
Zhang, D., Huang, H., Lai, C. F., Liang, X., Zou, Q., & Guo, M. (2013). Survey on context-awareness in ubiquitous media. Multimedia Tools and Applications, 67(1), 179–211.CrossRef
Zhu, C., & Sheng, W. (2011). Wearable sensor-based hand gesture and daily activity recognition for robot-assisted living. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 41(3), 569–573.MathSciNetCrossRef
Metadata
Title
A Survey on Accessible Context-Aware Systems
Authors
Iyad Abu Doush
Issam Damaj
Mohammed Azmi Al-Betar
Mohammed A. Awadallah
Ra’ed M. Al-khatib
Alaa Eddin Alchalabi
Asaju L. Bolaji
Copyright Year
2020
Book
Technological Trends in Improved Mobility of the Visually Impaired

Print ISBN: 978-3-030-16449-2

Electronic ISBN: 978-3-030-16450-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-16450-8_2