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The Influence of Privacy on the Acceptance of Technologies for Assisted Living

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Human Aspects of IT for the Aged Population. Healthy and Active Aging (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12208))

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Abstract

With population aging and the expected shortage of formal and informal caregivers, emerging technologies for assistive living are on the rise. Focusing on the perspective of the prospective users of these technologies, this study investigates the perceived drivers and barriers that influence AAL adoption. An online survey among 1296 Dutch older adults was conducted. Although loss of privacy was identified as major barrier towards AAL adoption in previous research, the current study provides statistical evidence that these concerns are secondary to the expected benefits of safe and independent living. These findings suggests that older adults consider aging safely in their trusted home environment as a valid trade-off for some loss of privacy. Despite these results, we urge developers to be mindful of privacy aspects when developing AAL applications, as privacy concerns still had a significant negative influence on the attitude towards using AAL.

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References

  1. United Nations: Health - United Nations Sustainable Development. https://www.un.org/sustainabledevelopment/health/

  2. Foster, L., Walker, A.: Active and successful aging: a European policy perspective. Gerontologist 55, 83–90 (2015)

    Article  Google Scholar 

  3. Novitzky, P., et al.: A review of contemporary work on the ethics of ambient assisted living technologies for people with dementia. Sci. Eng. Ethics 21(3), 707–765 (2014). https://doi.org/10.1007/s11948-014-9552-x

    Article  Google Scholar 

  4. Yusif, S., Soar, J., Hafeez-Baig, A.: Older people, assistive technologies, and the barriers to adoption: a systematic review. Int. J. Med. Inform. 94, 112–116 (2016)

    Article  Google Scholar 

  5. Peek, S.T.M., Wouters, E.J.M., van Hoof, J., Luijkx, K.G., Boeije, H.R., Vrijhoef, H.J.M.: Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inform. 83, 235–248 (2014)

    Article  Google Scholar 

  6. Wilkowska, W., Ziefle, M.: Privacy and data security in E-health: requirements from the user’s perspective. Health Inform. J. 18, 191–201 (2012)

    Article  Google Scholar 

  7. Fischer, S.H., David, D., Crotty, B.H., Dierks, M., Safran, C.: Acceptance and use of health information technology by community-dwelling elders. Int. J. Med. Inform. 83, 624–635 (2014)

    Article  Google Scholar 

  8. Beringer, R., Sixsmith, A., Campo, M., Brown, J., McCloskey, R.: The “acceptance” of ambient assisted living: developing an alternate methodology to this limited research lens. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds.) ICOST 2011. LNCS, vol. 6719, pp. 161–167. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21535-3_21

    Chapter  Google Scholar 

  9. Jaschinski, C., Allouch, S.B.: An extended view on benefits and barriers of ambient assisted living solutions. Int. J. Adv. Life Sci. 7, 40–53 (2015)

    Google Scholar 

  10. Boise, L., Wild, K., Mattek, N., Ruhl, M., Dodge, H.H., Kaye, J.: Willingness of older adults to share data and privacy concerns after exposure to unobtrusive home monitoring. Gerontechnology 11, 428–435 (2013)

    Article  Google Scholar 

  11. Steele, R., Lo, A., Secombe, C., Wong, Y.K.: Elderly persons’ perception and acceptance of using wireless sensor networks to assist healthcare. Int. J. Med. Inform. 78, 788–801 (2009)

    Article  Google Scholar 

  12. Wild, K., Boise, L., Lundell, J., Foucek, A.: Unobtrusive in-home monitoring of cognitive and physical health: reactions and perceptions of older adults. J. Appl. Gerontol. 27, 181–200 (2008)

    Article  Google Scholar 

  13. Townsend, D., Knoefel, F., Goubran, R.: Privacy versus autonomy: a tradeoff model for smart home monitoring technologies. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. pp. 4749–4752 (2011)

    Google Scholar 

  14. Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Heal. Inform. 17, 579–590 (2013)

    Article  Google Scholar 

  15. Piau, A., Campo, E., Rumeau, P., Vellas, B.: Aging society and gerontechnology: a solution for an independent living? J. Nutr. Health Aging 18, 97–112 (2014). https://doi.org/10.1007/s12603-013-0356-5

    Article  Google Scholar 

  16. Östlund, B.: Design paradigmes and misunderstood technology: the case of older users. Sociology 41, 25–39 (2005)

    Google Scholar 

  17. Peine, A., Rollwagen, I., Neven, L.: The rise of the “innosumer”-rethinking older technology users. Technol. Forecast. Soc. Change 82, 199–214 (2014)

    Article  Google Scholar 

  18. Eisma, R., Dickinson, A., Goodman, J., Syme, A., Tiwari, L., Newell, A.F.: Early user involvement in the development of information technology-related products for older people. Univ. Access Inf. Soc. 3, 131–140 (2004). https://doi.org/10.1007/s10209-004-0092-z

    Article  Google Scholar 

  19. Karahanna, E., Straub, D.W., Chervany, N.L.: Adoption across technology information time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q. 23, 183–213 (1999)

    Article  Google Scholar 

  20. Karapanos, E., Zimmerman, J., Forlizzi, J., Martens, J.: User experience over time: an initial framework. In: Proceedings of the 27th SIGCHI Conference on Human Factors in Computing Systems, pp. 729–738 (2009)

    Google Scholar 

  21. Rogers, E.M.: Diffusion of Innovations. Free Press, New York (2003)

    Google Scholar 

  22. de Graaf, M.M.A., Ben Allouch, S., van Dijk, J.A.G.M.: Long-term evaluation of a social robot in real homes. Interact. Stud. 17, 461–490 (2016)

    Google Scholar 

  23. Sixsmith, J.: The meaning of home: an exploratory study of environmental experience. J. Environ. Psychol. 6, 281–298 (1986)

    Article  Google Scholar 

  24. Dunne, L.E., Smyth, B.: Psychophysical elements of wearability. In: Conference on Human Factors in Computing Systems – Proceedings, pp. 299–302. Association for Computing Machinery (2007)

    Google Scholar 

  25. Dunne, L.E., et al.: The social comfort of wearable technology and gestural interaction. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 4159–4162. Institute of Electrical and Electronics Engineers Inc. (2014)

    Google Scholar 

  26. Leino-Kilpi, H., et al.: Privacy: a review of the literature. Int. J. Nurs. Stud. 38, 663–671 (2001)

    Article  Google Scholar 

  27. Bright, A.K., Coventry, L.: Assistive technology for older adults: psychological and socio-emotional design requirements. In: ACM International Conference Proceeding Series, pp. 1–4. ACM Press, New York (2013)

    Google Scholar 

  28. 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. Humanized Comput. 10(2), 761–778 (2018). https://doi.org/10.1007/s12652-018-0856-6

    Article  Google Scholar 

  29. Courtney, K.L.: Privacy and senior willingness to adopt smart home information technology in residential care facilities. Methods Inf. Med. 47, 76–81 (2008)

    Article  Google Scholar 

  30. Van Hoof, J., Kort, H.S.M., Rutten, P.G.S., Duijnstee, M.S.H.: Ageing-in-place with the use of ambient intelligence technology: perspectives of older users. Int. J. Med. Inform. 80, 310–331 (2011)

    Article  Google Scholar 

  31. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)

    Article  Google Scholar 

  32. de Graaf, M.M.A., Ben Allouch, S., van Dijk, J.A.G.M.: Why would I use this in my home? A model of domestic social robot acceptance. Hum.-Comput. Interact. 00, 1–59 (2017)

    Google Scholar 

  33. Pavloe, P.A., Fygenson, M.: Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Q. 30, 115–143 (2006)

    Article  Google Scholar 

  34. Roelands, M., Oost, P.V., Depoorter, A., Buysse, A.: A social-cognitive model to predict the use of assistive devices for mobility and self-care in elderly people. Gerontologist 42, 39–50 (2002)

    Article  Google Scholar 

  35. Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6, 144–176 (1995)

    Article  Google Scholar 

  36. Statistics Netherlands: StatLine - Bevolking; geslacht, leeftijd en burgerlijke staat, 1 januari. https://opendata.cbs.nl/statline/#/CBS/nl/dataset/7461bev/table?dl=B875

  37. Sensara: Sensara|Beter weten, beter zorgen. https://sensara.eu

  38. DayClocks International B.V.: DayClocks - Dé tablet voor oriëntatie, planning en verbinding. https://www.dayclocks.nl/

  39. Zora Robotics NV: Zorabots - vision and mission. https://zorarobotics.be/

  40. Lorenzen Huber, L., et al.: How in-home technologies mediate caregiving relationships in later life. Int. J. Hum. Comput. Interact. 29, 441–455 (2012)

    Article  Google Scholar 

  41. Zeng, E., Mare, S., Roesner, F.: End user security & privacy concerns with smart homes. In: Proceedings of the 13th Symposium on Usable Privacy and Security (SOUPS), Santa Clara, CA, USA, pp. 65–80 (2017)

    Google Scholar 

  42. Fitzpatrick, G., Huldtgren, A., Malmborg, L., Harley, D., Ijsselsteijn, W.: Design for agency, adaptivity and reciprocity: reimagining AAL and telecare agendas. In: Wulf, V., Schmidt, K., Randall, D. (eds.) Designing Socially Embedded Technologies in the Real-World. CSCW, pp. 305–338. Springer, London (2015). https://doi.org/10.1007/978-1-4471-6720-4_13

    Chapter  Google Scholar 

  43. Dijk, J.A.G.M., Ben Allouch, S., Graaf, M.M.A., Jaschinski, C.: Toward a process model for selection of theories of technology acceptance. In: 2018 Annual Conference of the International Communication Association, Praag, Czech republic (2018)

    Google Scholar 

  44. Statistics Netherlands: CBS StatLine - Internet; toegang, gebruik en faciliteiten. https://opendata.cbs.nl/statline/#/CBS/nl/dataset/83429NED/table?dl=43EC

  45. Miltgen, C.L., Peyrat-Guillard, D.: Cultural and generational influences on privacy concerns: a qualitative study in seven European countries. Eur. J. Inf. Syst. 23, 103–125 (2014)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Saxion University of Applied Sciences, Enschede, The Netherlands

    Christina Jaschinski & Oscar Peters

  2. Amsterdam University of Applied Sciences, Amsterdam, The Netherlands

    Somaya Ben Allouch

  3. University of Twente, Enschede, The Netherlands

    Jan van Dijk

Authors
  1. Christina Jaschinski
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  2. Somaya Ben Allouch
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  3. Oscar Peters
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  4. Jan van Dijk
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Corresponding author

Correspondence to Christina Jaschinski .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Jaschinski, C., Ben Allouch, S., Peters, O., van Dijk, J. (2020). The Influence of Privacy on the Acceptance of Technologies for Assisted Living. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Healthy and Active Aging. HCII 2020. Lecture Notes in Computer Science(), vol 12208. Springer, Cham. https://doi.org/10.1007/978-3-030-50249-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-50249-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50248-5

  • Online ISBN: 978-3-030-50249-2

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