Abstract
Older adults (65+) are becoming primary users of technologies, including IoTs, wearables and emerging smart systems, especially for aging in place and in daily living activities related to better health and wellness. Research demonstrates some critical features in home health care and wearable technology adoption by older adults such as wearability, device appearance, display and interaction, the modeling and technical aspects of data measurement and presentation, with more sophisticated, personalized interaction systems and data analysis expected over time. The design and development of home health care technologies are often led by the requirements of their social and caregiving environments rather than the needs and preferences of older adult users. The mismatch between functionalities, intrinsic motivations and expected benefits has a detrimental impact on user acceptance. User acceptance is critical for technology to be integrated within daily living especially in areas such as IoTs and wearables. Cybersecurity is an essential part of a safe, effective and reliable healthcare delivery system. Security and privacy challenges can be overcome by implementing best practices to safeguard systems and devices. There are significant privacy risks associated with wearables and home IoTs. The literature review has identified emerging issues that underscore the need to develop a set of guidelines for conducting HCI and human factors research based on an understanding of older adults’ perceptions and preferences about data privacy and security. Additionally, directions for current and future research are discussed in the paper, including late breaking research on virtual care and support vulnerable seniors during the COVID 19 pandemic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Azimi, I., Rahmani, A.M., Liljeberg, P., Tenhunen, H.: Internet of Things for remote elderly monitoring: a study from user-centered perspective. J. Ambient Intell. Humanized Comput. 8, 273–289 (2017). https://doi.org/10.1007/s12652-016-0387-y. Accessed 20 Apr 2020
Takahashi, Y., Hishida, Y., Kitamura, K., Mizoguchi, H.: Handrail IoT sensor for precision healthcare of elderly people in smart homes. In: 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (2017). https://doi.org/10.1109/iris.2017.8250149. https://www.researchgate.net/publication/322416543_Handrail_IoT_sensor_for_precision_healthcare_of_elderly_people_in_smart_homes. Accessed 25 Apr 2020
Pan, A., Zhao, F.: User acceptance factors for mHealth. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10902, pp. 173–184. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91244-8_14
Boyd, D., Crawford, K.: Critical questions for big data. Inf. Commun. Soc. 15(5), 662–679 (2012). https://doi.org/10.1080/1369118X.2012.678878
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 13 May 2020
Cormack, A.: A data protection framework for learning analytics. Community.jisc.acuk (2015). http://bit.ly/1OdIIKZ. Accessed 20 Mar 2020
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 (2015)
Chopik, W.J.: The benefits of social technology use among older adults are medicated by reduced loneliness. Cyberpsychol. Behav. Soc. Netw. 19(9), 551–556 (2016). https://www.liebertpub.com/doi/full/10.1089/cyber.2016.0151. Accessed 20 Mar 2020
Zamir, S., Hagan Hennessy, C., Taylor, A.H., Jones, R.B.: Video-calls to reduce loneliness and social isolation within care environments for older people: an implementation study using collaboration action research. BMC Geriatr. 18(62) (2018). https://doi.org/10.1186/s12877-018-0746-y. Accessed 12 Jun 2020
Guterres, A.: United Nations COVID-19 Response (2020). https://www.un.org/en/coronavirus/our-response-covid-19-must-respect-rights-and-dignity-older-people. Accessed 6 Jun 2020
Shin, G., et al.: Wearable activity trackers, accuracy, adoption, acceptance and health impact: a systematic literature review. J. Biomed. Inform. 93, 103153 (2019). https://doi.org/10.1016/j.jbi.2019.103153. Accessed 20 Apr 2019
Li, I., Froehlich, J., Grevet, C., Ramirez, E., Larsen, J.E.: Personal informatics in the wild: hacking habits for health & happiness. In: Conference on Human Factors in Computing Systems - Proceedings, 2013-April, pp. 3179–3182 (2013). https://doi.org/10.1145/2468356.2479641. Accessed 15 Jun 2020
Becker, M., Widjaja, T., Matt, C., Hess, T.: Understanding privacy risk perceptions of consumer health wearables – an empirical taxonomy. In: ICIS 2017: Transforming Society with Digital Innovation, pp. 0–21 (2018)
Banerjee, S., Hemphill, T., Longstreet, P.: Wearable devices and healthcare: data sharing and privacy. Inf. Soc. 34(1), 49–57 (2018). https://www.tandfonline.com/doi/full/10.1080/01972243.2017.1391912. Access 15 Jun 2020
Perez, A.J., Zeadally, S.: Privacy issues and solutions for consumer wearables. IT Prof. 20(4), 46–56 (2018). https://doi.org/10.1109/MITP.2017.265105905. Accessed 10 Jun 2020
Canadian Red Cross: Pandemic Study reaffirms Red Cross concern for vulerable seniors (2020), https://www.redcross.ca/about-us/media-news/news-releases/pandemic-study-reaffirms-red-cross-concern-for-vulnerable-seniors. Accessed 20 Jun 2020
Johnson, J.A.: Designing technology for an aging population. In: CHI 2018. https://dl.acm.org/ft_gateway.cfm?id=3170641&type=pdf. Accessed 20 Jun 2020
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 20 May 2020
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 15 Jun 2020
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 05 Apr 2020
Cavoukian, A., Fisher, A., Killen, S., Hoffman, D.A.: Remote home health care technologies: how to ensure privacy? Build it Privacy by Design. IDIS 3(363), 363–378 (2010). https://doi.org/10.1007/s12394-010-0054-y
Chen, K., Chan, A.H.S.: A review of technology acceptance by older adults. Gerontechnology 10, 1–12 (2011)
Cahill, J., McLoughlin, S., O’Connor, M., Stolberg, M., Wetherall, S.: Addressing issues of need, adaptability, user acceptability and ethics in the participatory design of new technology enabling wellness, independence and dignity for seniors living in residential homes. In: Zhou, J., Salvendy, G. (eds.) ITAP 2017. LNCS, vol. 10297, pp. 90–109. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58530-7_7
Offermann-van Heek, J., Gohr, S., Himmel, S., Ziefle, M.: Influence of age on trade-offs between benefits and barriers of AAL technology usage. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11592, pp. 250–266. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22012-9_19
Radin, J.M., Wineinger, N.E., Topol, E.J., Steinhubl, S.R.: Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. Lancet Digit. Health 7500(19), 1–9 (2020). https://doi.org/10.1016/S2589-7500(19)30222. Accessed 19 Mar 2020
Lee, B.C., Ajisafe, Toyin D., Vo, T.V.T., Xie, J.: Understanding long-term adoption and usability of wearable activity trackers among active older adults. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11592, pp. 238–249. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22012-9_18
Nash, E.J.: Notice and consent: a healthy balance between privacy and innovation for wearables. BYU J. Pub. L. 33(2), 197–226 (2018)
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)
Maresova, P., et al.: Technological solutions for older people with Alzheimer’s disease: review. Current Alzeimer Res. 15, 975–983 (2018)
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. Mak. 13, 85 (2013). https://doi.org/10.1186/1472-6947-13-85
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
Peek, S.T.M., Wouters, E.J.M., van Hoof, J., Luijkx, K.G., Boeije, H.R., Vrijhoef, J.M.: Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inform. 83(4), 235–248 (2014). https://doi.org/10.1016/j.ijmedinf.2014.01.004
Al-Shaqi, R., Mourshed, M., Rezgui, Y.: Progress in ambient assisted systems for independent living by the elderly. SpringerPlus 5, 624 (2016). https://doi.org/10.1186/s40064-016-2272-8
McNeill, A.R., Coventry, L., Pywell, J., Briggs, P.: Privacy considerations when designing social network systems to support successful ageing. In: CHI 2017: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 6425–6437 (2017). https://doi.org/10.1145/3025453.3025861. Accessed 28 May 2020
Kolkowska, E., Kajtazi, M.: Privacy dimensions in design of smart home systems for elderly people. In: WISP 2015 Proceedings, vol. 17 (2015)
Yusif, S., Soar, J., Halfeez-Baig, A.: Older people, assistive technologies, and the barriers to adoption: a systematic review. Int. J. Med. Inform. 94, 112–116 (2016). https://doi.org/10.1016/j.ijmedinf.2016.07.004. Accessed 20 May 2020
Jaschinski, C., Ben Allouch, S.: Listening to the ones who care: exploring the perceptions of informal caregivers towards ambient assisted living applications. J. Ambient Intell. Humaniz. Comput. 10(2), 761–778 (2018). https://doi.org/10.1007/s12652-018-0856-6
Tsertsidid, A., Kolkowka, E., Hedstrom, K.: Factors influencing seniors’ acceptance of technology for ageing in place in the post-implementation stage: A literature review. Int. J. Med. Inform. 129, 324–333 (2019), https://doi.org/10.1016/j.ijmedinf.2019.06.027. Accessed 15 May 2020
Mortenson, W.B., Sixsmith, A., Beringer, R.: No place like home? Surveillance and what home means in old age. Can. J. Aging 35(1), 103–114 (2016). https://doi.org/10.1017/S0714980815000549
Schomakers, E.-M., Ziefle, M.: Privacy perceptions in ambient assisted living. In: Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2019), pp. 205–212 https://doi.org/10.5220/0007719802050212
Dasgupta, K., Rosenberg, E., Daskalopoulou, S.S.: Step Monitoring to improve ARTERial health (SMARTER) through step count prescription in type 2 diabetes and hypertension: trial design and methods. Cardiovasc. Diabetol. 13(1), 7 (2014)
Fogg, B.J.: A behavior model for persuasive design. In: Proceedings of the 4th International Conference on Persuasive Technology, pp. 1–7 (2009)
Mercer, K., Giangregorio, L., Schneider, E., Chilana, P., Li, M., Grindrod, K.: Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR MHealth UHealth 4(1), e7 (2016), https://doi.org/10.2196/mhealth.4225. Accessed 20 Apr 2020
Li, L., Peng, W., Kononova, A., Bowen, M., Cotten, S.R.: Factors associated with older adults’ long-term use of wearable activity trackers. Telemed. E-Health 26, 769–775 (2019)
Kerr, D., Butler-Henderson, K., Sahama, T.: Security, privacy, and ownership issues with the use of wearable health technologies. In: Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications, pp. 1629–1644. IGI Global (2019)
Epstein, D.A., Caraway, M., Johnston, C., Ping, A., Fogarty, J., Munson, S.A.: Beyond abandonment to next steps: understanding and designing for life after personal informatics tool use. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1109–1113 (2016)
Wissinger, E.: Blood, sweat, and tears: navigating creepy versus cool in wearable biotech. Inf. Commun. Soc. 21(5), 779–785 (2018)
Bucher, T., Helmond, A., et al.: The affordances of social media platforms. In: Burgess, J., Marwick, A., Poell, T. (eds.) The SAGE Handbook of Social Media, pp. 223–253. Sage, Newcastle upon Tyne (2017)
Tedesco, S., Barton, J., O’Flynn, B.: A review of activity trackers for senior citizens: research perspectives, commercial landscape and the role of the insurance industry. Sensors (Switzerland) 17, 1277 (2017). https://doi.org/10.3390/s17061277
Trendafilova, Z.K.: Discussing Cybersecurity Safeguards Between Older Adults with Mild Cognitive Impairement and their Caregivers. University of Maryland, Baltimore County, p. 22615443. ProQuest Dissertations Publishing, Ann Arbor (2019)
Nurgalieva, L., Frik, A., Ceschel, F., Egalman, S., Marchese, M.: Information design in an aged care context: views of older adults on information sharing in a care triad. In: PervasiveHealth 2019: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare May 2019, pp. 101–110 (2019). https://doi.org/10.1145/3329189.3329211
Matthew-Maich, N., et al.: Designing, implementing, and evaluating mobile health technologies for managing chronic conditions in older adults: a scoping review. JMIR Mhealth Uhealth 4(2), e29 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 National Research Council of Canada
About this paper
Cite this paper
Fournier, H., Kondratova, I., Molyneaux, H. (2020). Designing Digital Technologies and Safeguards for Improving Activities and Well-Being for Aging in Place. In: Stephanidis, C., Antona, M., Gao, Q., Zhou, J. (eds) HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design. HCII 2020. Lecture Notes in Computer Science(), vol 12426. Springer, Cham. https://doi.org/10.1007/978-3-030-60149-2_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-60149-2_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60148-5
Online ISBN: 978-3-030-60149-2
eBook Packages: Computer ScienceComputer Science (R0)