Skip to main content

Influence of User Factors on the Acceptance of Ambient Assisted Living Technologies in Professional Care Contexts

  • Conference paper
  • First Online:
Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2018)

Abstract

Demographic change in conjunction with increasing amounts of older people and people in need of care pose high burdens and challenges for the care sectors of today’s society. In the last decades, it is tried to face these challenges by developing technical solutions in the area of Ambient Assisted Living (AAL). Besides technical functions and opportunities, the acceptance of future users is decisive for a successful implementation of those technologies in everyday life situations. As AAL technologies have an enormous potential to support care staff as well as caretakers in professional care situations, it is questionable to what extent professional care staff accepts and adopts to use assisting technologies in their professional everyday life. In more detail, it is of major interest to analyze how care professionals perceive potential benefits and barriers of AAL technology usage, specific characteristics of data gathering and storage as well as if individual user factors of care professionals influence the perception and acceptance of AAL technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Pickard, L.: A growing care gap? The supply of unpaid care for older people by their adult children in England to 2032. Ageing Soc. 35(1), 96–123 (2015)

    Article  Google Scholar 

  2. Walker, A., Maltby, T.: Active ageing: a strategic policy solution to demographic ageing in the European Union. Int. J. Soc. Welf. 21, 117–130 (2012)

    Article  Google Scholar 

  3. Bloom, D.E., Canning, D.: Global Demographic Change: Dimensions and Economic Significance National Bureau of Economic Research. Working Paper No. 10817 (2004)

    Google Scholar 

  4. Siewert, U., Fendrich, K., Doblhammer-Reiter, G., Scholz, R.D., Schuff-Werner, P., Hoffmann, W.: Health care consequences of demographic changes in Mecklenburg-West Pomerania: projected case numbers for age-related diseases up to the year 2020, based on the study of health in Pomerania (SHIP). Deutsches Ärzteblatt Int. 107(18), 328 (2010)

    Google Scholar 

  5. Shaw, J.E., Sicree, R.A., Zimmet, P.Z.: Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res. Clin. Pract. 87(1), 4–14 (2010)

    Article  Google Scholar 

  6. Wild, S., Roglic, G., Green, A., Sicree, R., King, H.: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5), 1047–1053 (2004)

    Article  Google Scholar 

  7. Roger, V.L., Go, A.S., Lloyd-Jones, D.M., Adams, R.J., Berry, J.D., Brown, T.M., American Heart Association Statistics Committee and Stroke Statistics Subcommittee: Heart disease and stroke statistics--2011 update: a report from the American Heart Association. Circulation 123(4), e18–e209 (2004)

    Google Scholar 

  8. Poore, C.: Disability in Twentieth-Century German Culture. University of Michigan Press, Ann Arbor (2007)

    Book  Google Scholar 

  9. World Health Organization (WHO): World Health Day 2012: ageing and health: toolkit for event organizers (2012). http://apps.who.int/iris/bitstream/10665/70840/1/WHO_DCO_WHD_2012.1_eng.pdf

  10. Memon, M., Wagner, S.R., Pedersen, C.F., Beevi, F.H.A., Hansen, F.O.: Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors 14(3), 4312–4341 (2014)

    Article  Google Scholar 

  11. Frank, S., Labonnote, N.: Monitoring technologies for buildings equipped with ambient assisted living: current status and where next. In: SAI Intelligent Systems Conference (IntelliSys), pp. 431–438. IEEE (2015)

    Google Scholar 

  12. Cheng, J., Chen, X., Shen, M.: A framework for daily activity monitoring and fall detection based on surface electromyography and accelerometer signals. IEEE J. Biomed. Health Inform. 17(1), 38–45 (2013)

    Article  Google Scholar 

  13. Baig, M.M., Gholamhosseini, H.: Smart health monitoring systems: an overview of design and modeling. J. Med. Syst. 37(2), 1–14 (2013)

    Article  Google Scholar 

  14. Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Müller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis, C. (ed.) UAHCI 2007. LNCS, vol. 4555, pp. 103–112. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73281-5_11

    Chapter  Google Scholar 

  15. Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 17(3), 579–590 (2013)

    Article  Google Scholar 

  16. Wichert, R., Furfari, F., Kung, A., Tazari, M.R.: How to overcome the market entrance barrier and achieve the market breakthrough in AAL. In: Wichert, R., Eberhardt, B. (eds.) Ambient Assisted Living. ATSC, pp. 349–358. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-27491-6_25

    Chapter  Google Scholar 

  17. Georgieff, P.: Ambient assisted living. Marktpotenziale IT-unterstützter Pflege für ein selbstbestimmtes Altern. [Market potential of IT-supported care for self-determined aging]. FAZIT Forschungsbericht 17, 9–10 (2008)

    Google Scholar 

  18. Dohr, A., Modre-Opsrian, R., Drobics, M., Hayn, D., Schreier, G.: The Internet of Things for ambient assisted living. In: 2010 Seventh International Conference on Information Technology: New Generations (ITNG), pp. 804–809. IEEE (2010)

    Google Scholar 

  19. Stone, E.E., Skubic, M.: Fall detection in homes of older adults using the Microsoft Kinect. IEEE J. Biomed. Health Inform. 19(1), 290–301 (2015)

    Article  Google Scholar 

  20. Ni, B., Nguyen, C.D., Moulin, P.: RGBD-camera based get-up event detection for hospital fall prevention. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1405–1408. IEEE (2012)

    Google Scholar 

  21. Costa, R., Novais, P., Costa, Â., Neves, J.: Memory support in ambient assisted living. In: Camarinha-Matos, L.M., Paraskakis, I., Afsarmanesh, H. (eds.) PRO-VE 2009. IAICT, vol. 307, pp. 745–752. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04568-4_75

    Chapter  Google Scholar 

  22. Hristova, A., Bernardos, A.M., Casar, J.R.: Context-aware services for ambient assisted living: a case-study. In: IEEE Applied Sciences on Biomedical and Communication Technologies, pp. 1–5 (2008)

    Google Scholar 

  23. Patel, S., Park, H., Bonato, P., Chan, L., Rodgers, M.: A review of wearable sensors and systems with application in rehabilitation. J. Neuroeng. Rehabil. 9(1), 21 (2012)

    Article  Google Scholar 

  24. Essence Homepage: Smart Care - Care@ Home Product Suite (2018). http://www.essence-grp.com/smart-care/care-at-home-pers

  25. Tunstall Homepage: Tunstall - Solutions for Healthcare Professionals (2018). https://uk.tunstall.com

  26. Gövercin, M., Meyer, S., Schellenbach, M., Steinhagen-Thiessen, E., Weiss, B., Haesner, M.: SmartSenior@home: acceptance of an integrated ambient assisted living system. Results of a clinical field trial in 35 households. Inform. Health Soc. Care 41, 1–18 (2016)

    Article  Google Scholar 

  27. Isern, D., Sánchez, D., Moreno, A.: Agents applied in health care: a review. Int. J. Med. Inform. 79(3), 145–166 (2010)

    Article  Google Scholar 

  28. van Heek, J., Himmel, S., Ziefle, M.: Helpful but spooky? Acceptance of AAL-systems contrasting user groups with focus on disabilities and care needs’. In: Proceedings of the International Conference on ICT for Aging Well (ICT4AWE 2017), pp. 78–90. SCITEPRESS – Science and Technology Publications (2017)

    Google Scholar 

  29. Himmel, S., Ziefle, M.: Smart home medical technologies: users’ requirements for conditional acceptance. I-Com 15(1), 39–50 (2016)

    Article  Google Scholar 

  30. 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 

  31. Sun, H., De Florio, V., Gui, N., Blondia, C.: The missing ones: key ingredients towards effective ambient assisted living systems. J. Ambient Intell. Smart Environ. 2(2), 109–120 (2010)

    Google Scholar 

  32. Wilkowska, W., Ziefle, M.: Privacy and data security in e-health: requirements from users’ perspective. Health Inform. J. 18(3), 191–201 (2012)

    Article  Google Scholar 

  33. Wilkowska, W., Ziefle, M., Himmel, S.: Perceptions of personal privacy in smart home technologies: do user assessments vary depending on the research method? In: Tryfonas, T., Askoxylakis, I. (eds.) HAS 2015. LNCS, vol. 9190, pp. 592–603. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20376-8_53

    Chapter  Google Scholar 

  34. van Heek, J., Himmel, S., Ziefle, M.: Privacy, data security, and the acceptance of AAL-systems – a user-specific perspective. In: Zhou, J., Salvendy, G. (eds.) ITAP 2017. LNCS, vol. 10297, pp. 38–56. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58530-7_4

    Chapter  Google Scholar 

  35. Demiris, G., et al.: Older adults’ attitudes towards and perceptions of “smart home” technologies: a pilot study. Med. Inform. Internet 29(2), 87–94 (2004)

    Article  Google Scholar 

  36. Ziefle, M., Himmel, S., Wilkowska, W.: When your living space knows what you do: acceptance of medical home monitoring by different technologies. In: Holzinger, A., Simonic, K.-M. (eds.) USAB 2011. LNCS, vol. 7058, pp. 607–624. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25364-5_43

    Chapter  Google Scholar 

  37. Larizza, M.F., et al.: In-home monitoring of older adults with vision impairment: exploring patients’, caregivers’ and professionals’ views. J. Am. Med. Inform. Assoc. 21(1), 56–63 (2014)

    Article  Google Scholar 

  38. López, S.A., Corno, F., Russis, L.D.: Supporting caregivers in assisted living facilities for persons with disabilities: a user study. Univ. Access Inf. Soc. 14(1), 133–144 (2015)

    Article  Google Scholar 

  39. Mortenson, W.B., Demers, L., Fuhrer, M.J., Jutai, J.W., Lenker, J., DeRuyter, F.: Effects of an assistive technology intervention on older adults with disabilities and their informal caregivers: an exploratory randomized controlled trial. Am. J. Phys. Med. Rehabil./Assoc. Acad. Physiatr. 92(4), 297–306 (2013)

    Article  Google Scholar 

  40. Ziefle, M., Jakobs, E.M.: New challenges in human computer interaction: strategic directions and interdisciplinary trends. In: 4th International Conference on Competitive Manufacturing Technologies, COMA, pp. 389–398 (2010)

    Google Scholar 

  41. Beier, G.: Kontrollüberzeugungen im Umgang mit Technik, [Control beliefs in dealing with technology]. Rep. Psychol. 9, 684–693 (1999)

    Google Scholar 

  42. Xu, H., Dinev, T., Smith, H.J., Hart, P.: Examining the formation of individual’s privacy concerns: toward an integrative view. In: ICIS 2008 Proceedings, p. 6 (2008)

    Google Scholar 

  43. Morton, A.: Measuring inherent privacy concern and desire for privacy-a pilot survey study of an instrument to measure dispositional privacy concern. In: International Conference on Social Computing (SocialCom), pp. 468–477. IEEE (2013)

    Google Scholar 

  44. McKnight, D.H., Choudhury, V., Kacmar, C.: Developing and validating trust measures for e-commerce: an integrative typology. Inf. Syst. Res. 13(3), 334–359 (2002)

    Article  Google Scholar 

  45. Van Heek, J., Ziefle, M., Himmel, S.: Caregivers’ perspectives on ambient assisted living technologies in professional care contexts. In: Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2018), pp. 37–48 (2018)

    Google Scholar 

  46. Ziefle, M., Schaar, A.K.: Technical expertise and its influence on the acceptance of future medical technologies: what is influencing what to which extent? In: Leitner, G., Hitz, M., Holzinger, A. (eds.) USAB 2010. LNCS, vol. 6389, pp. 513–529. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16607-5_40

    Chapter  Google Scholar 

  47. Simonazzi, A.: Care regimes and national employment models. Camb. J. Econ. 33(2), 211–232 (2008)

    Article  Google Scholar 

Download references

Acknowledgements

This work was partly funded by the German Federal Ministry of Education and Research projects Whistle (16SV7530) and PAAL (6SV7955).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julia Offermann-van Heek .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Offermann-van Heek, J., Ziefle, M., Himmel, S. (2019). Influence of User Factors on the Acceptance of Ambient Assisted Living Technologies in Professional Care Contexts. In: Bamidis, P., Ziefle, M., Maciaszek, L. (eds) Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE 2018. Communications in Computer and Information Science, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-15736-4_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-15736-4_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15735-7

  • Online ISBN: 978-3-030-15736-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics