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Privacy by Design and Cybersecurity for Safe, Effective and Reliable Home Health Care for Aging in Place

  • Helene FournierEmail author
  • Heather Molyneaux
  • Irina Kondratova
  • Noor Ali
Conference paper
First Online:
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 7)

Abstract

This short paper presents findings from a research and development project on remote home health monitoring, specifically tools and technologies for Aging in Place to help seniors live independently at home for longer. A comprehensive literature review was completed to feed into an early concept design and prototype for a mobile video-conferencing application for Android, for use in remote health care services. Findings from the literature review will be presented as well as next phases of the research and development process.

Keywords

Human-computer interaction Home health care Aging in place Cybersecurity IoT 
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References

  1. 1.
    iamdavecook2: A gateway to the internet of things: QR codes. https://anthropologyofinfrastructure2017.wordpress.com/2017/04/20/a-gateway-to-the-internet-of-things-qr-codes/. Accessed 06 June 2019
  2. 2.
  3. 3.
    Munteanu, C.: Natural interactions with assistive technologies for under-represented users. TUX-Toronto User Experience Expo (2016). http://www.tux-hci.org/speaker/ron-baecker/. Accessed 11 July 2018
  4. 4.
    Curran, C.: How will people interact with augmented reality? PWC: next in tech (2016).http://usblogs.pwc.com/emerging-technology/how-will-people-interact-with-augmented-reality/. Accessed 20 Aug 2018
  5. 5.
    Satell, G.: 5 Trends that will drive the future of technology (2013). https://www.forbes.com/sites/gregsatell/2013/03/12/5-trends-that-will-drive-the-future-of-technology/#6539007e51ee. Accessed 05 May 2019
  6. 6.
    Bratishenko, L.: 7 experimental interfaces that show the future of UI design (2014). https://gizmodo.com/7-experimental-interfaces-that-show-the-future-of-ui-de-1642890943. Accessed 20 Aug 2019
  7. 7.
    Gope, P., Hwang, T.: BSN-care: a secure IoT-based modern healthcare system using body sensor network. IEEE Sens. J. 16(5), 1368–1376 (2016). https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7332745. Accessed 20 May 2019
  8. 8.
    Rantz, M.J., Skubic, M., Miller, S., Galambos, C., Alexander, G., Keller, J., Popescu, M.: Sensor technology to support aging in place. J. Post-Acute Long-Term Care Med. 14(6), 386–391 (2013)Google Scholar
  9. 9.
    Morley, J.E.: Aging in place. J. Post-Acute Long-Term Care Med. 13(6), 489–492 (2012)Google Scholar
  10. 10.
    Wood, A., Stankovic, J.A., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., Stoleru, R.: Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Netw. (2008). https://ieeexplore.ieee.org/document/4579768/. Accessed 30 May 2018, 19 May 2019
  11. 11.
    Goodman, A., Righetto, M.: Why the human body will be the next computer interface (2013). https://www.fastcodesign.com/1671960/why-the-human-body-will-be-the-next-computer-interface. Accessed 20 Apr 2019
  12. 12.
    Lee, J., Kim, S., Fukumoto, M., Lee, B.: Reflector: distance-independent, private pointing on a reflective screen. UIST 2017, 22–25 October, Quebec City, Canada (2017)Google Scholar
  13. 13.
    IMS Global Learning Consortium (2018). https://www.imsglobal.org/aboutims.html. Accessed 5 Aug 2018
  14. 14.
    O’Reilly.com: Big data technology landscape (2018). https://www.oreilly.com/library/view/big-data-analytics/9781484209646/9781484209653_Ch01.xhtml. Accessed 10 Sept 2018
  15. 15.
    Boyd, D., Crawford, K.: Critical questions for big data. Inform. Commun. Soc. 15(5), 662–679 (2012).  https://doi.org/10.1080/1369118X.2012.678878CrossRefGoogle Scholar
  16. 16.
    Fenwick, T.: Professional responsibility in a future of data analytics. In: Williamson, B. (ed.) Coding/Learning, Software and Digital Data in Education. University of Stirling, Stirling, UK (2015)Google Scholar
  17. 17.
    Cavoukian, A., Jonas, J.: Privacy by design in the age of big data (2012). https://jeffjonas.typepad.com/Privacy-by-Design-in-the-Era-of-Big-Data.pdf. Accessed 10 Aug 2018
  18. 18.
    Cormack, A.: A data protection framework for learning analytics. Community.jisc.acuk (2015). http://bit.ly/1OdIIKZ. Accessed 5 Sept 2018
  19. 19.
    Johnson, J.A.: Designing technology for an aging population. In: CHI (2018). https://dl.acm.org/ft_gateway.cfm?id=3170641&type=pdf. Accessed 2 Sept 2018
  20. 20.
    Burkhardt, W.: The next hottest thing in silicon valley: gerontechnology (2016). https://www.forbes.com/sites/vinettaproject/2016/09/20/the-next-hottest-thing-in-silicon-valley-gerontechnology/#5b8b70763abe. Accessed 8 Aug 2018
  21. 21.
    Tacken, M., Marcellini, F., Mollenkopf, H., Ruoppila, I., Széman, Z.: Use and acceptance of new technology by older people. Findings of the international MOBILATE survey: enhancing mobility in later life. Gerontechnology, 3(3), 128–137 (2005). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.474.3979&rep=rep1&type=pdf. Accessed 30 May 2018
  22. 22.
    Jansson, T., Kupiainen, T.: Aged people’s experiences of gerontechnology used at home: a narrative literature review. Final Thesis. Helsinki Metropolia University of Applied Sciences (2017). https://www.theseus.fi/bitstream/handle/10024/129279/Jansson_Kupiainen_ONT_21.4.17.pdf?sequence=1. Accessed 3 Sept 2018
  23. 23.
    Pan, A., Zhao, F.: User acceptance factors for mHealth. In: Proceedings of the 20th International Conference, HCI International 2018, Part 1, pp. 173–184 (2018)Google Scholar
  24. 24.
    Dove, G., Halskov, K., Forlizzi, J., Zimmerman, J.: UX design innovation: challenges for working with maching learning as a design material. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 278–288 (2017). https://dl.acm.org/citation.cfm?id=3025739. Accessed 20 Aug 2018
  25. 25.
    Gullà, F., Papetti, A., Menghi, R., Germani, M.: A method to make an existing system adaptive. In: Proceedings of the 20th International Conference, HCI International 2018, Part 1, pp. 91–101 (2018)CrossRefGoogle Scholar
  26. 26.
    Vasilyeva, E., Pechenizkiy, M., Puuronen, S.: Towards the framework of adaptive user interfaces for eHealth. In: Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems, pp. 139–144 (2005). http://www.win.tue.nl/~mpechen/publications/pubs/VasilyevaCBMS05.pdf. Accessed 15 June 2018
  27. 27.
    Gregor, P., Newell, A.F., Zajicek, M.: Designing for dynamic diversity—interfaces for older people. In: Proceedings of the Fifth International ACM Conference on Assistive Technologies, pp. 151–156 (2002). https://dl.acm.org/citation.cfm?id=638277. Accessed 15 Sept 2018
  28. 28.
    Neves, B., Franz, R.L., Munteanu, C., Baecker, R., Ngo, M.: “My hand doesn’t listen to me!”: adoption and evaluation of a communication technology for the oldest old. In: CHI (2015). https://dl.acm.org/citation.cfm?id=2702430. Accessed 30 May 2018
  29. 29.
    Dodd, C., Athauda, R., Adam, M.P.: Designing user interfaces for the elderly: a systematic literature review. In: Australasian Conference on Information Systems, Hobart, Australia (2017). https://www.acis2017.org/wp-content/uploads/2017/11/ACIS2017_paper_146_FULL.pdf. Accessed 5 Sept 2018
  30. 30.
    Jalali, M.S., Razak, S., Gordon, W., Perakslis, E., Madnick, S.: Health care and cybersecurity: bibliometric analysis of the literature. J. Med. Internet Res. 21, 2 (2019)CrossRefGoogle Scholar
  31. 31.
    Maresova, P., et al.: Technological solutions for older people with Alzheimer’s disease: review. Curr. Alzeimer Res. 15, 975–983 (2018)CrossRefGoogle Scholar
  32. 32.
    Henriksen, E., Burkow, T.M., Johnsen, E., Vognild, L.K.: Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education. BMC Med. Inform. Decis. Making 13, 85 (2013)CrossRefGoogle Scholar
  33. 33.
    Nordgren, A.: Remote monitoring or close encounters? Ethic considerations in priority setting regarding telecare. Health Care Anal. 22, 325–339 (2014)CrossRefGoogle Scholar
  34. 34.
    Cavoukian, A., Fisher, A., Killen, S., Hoffman, D.A.: Remote home health care technologies: how to ensure privacy? Build it in: privacy by design. IDIS 3(363), 363–378 (2010)CrossRefGoogle Scholar
  35. 35.
    Al-Shaqi, R., Mourshed, M., Rezgui, Y.: Progress in ambient assisted systems for independent living by the elderly. SpringerPlus 5, 624 (2016)CrossRefGoogle Scholar
  36. 36.
    Kolkowska, E., Kajtazi, M.: Privacy dimensions in design of smart home systems for elderly people. In: WISP 2015 Proceedings, p. 17 (2015)Google Scholar

Copyright information

© Crown 2020

Authors and Affiliations

  1. 1.National Research Council CanadaMonctonCanada
  2. 2.National Research Council CanadaFrederictonCanada
  3. 3.University of New-BrunswickFrederictonCanada

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