Skip to main content
SpringerLink
Log in

Enabling personalisation of remote elderly assistance

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

One of the goals of Ambient Assisted Living (AAL) solutions is to extend the time that elderly people can live independently in their preferred environments by using ICT technologies for personal healthcare. However, in order to be optimal, remote monitoring services and health-related interventions should be strongly personalised to specific individuals’ requirements, preferences, abilities and motivations, which can vary among the elderly, and even dynamically evolve over time for the same person depending on changing user needs and context-dependent conditions. In this paper we present an End User Development (EUD) tool for the personalisation of context-dependent assistance by non-technical users in the AAL domain. In particular, we have considered applications for remotely monitoring and assisting elderly people at home through sending multimedia messages and reminders, as well as changing the state of various domestic appliances (e.g. lamps, heating system, TV) and devices available in the context surrounding the user. The design and development of the tailoring environment has been carried out in an iterative manner, informed by the feedback that was gathered through empirical evaluations done with older adults and caregivers.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Cabitza F, Fogli D, Lanzilotti R, Piccinno A (2017) Rule-based tools for the configuration of ambient intelligence systems: a comparative user study. Multimed Tools Appl 76(4):5221–5241

    Article  Google Scholar 

  2. Cesta A, Cortellessa G, Fracasso F, Orlandini A, Turno M (2018) User needs and preferences on AAL systems that support older adults and their carers. JAISE 10(1):49–70

    Google Scholar 

  3. Chesta C, Corcella L, Kroll S, Manca M, Nuss J, Paternò F, Santoro C (2017) Enabling personalisation of remote elderly assistant applications. CHItaly 6:1–6:9

  4. Consolvo S, Roessler P, Shelton BE (2004) The CareNet Display: Lessons Learned from an In Home Evaluation of an Ambient Display, Proc of UbiComp 2004 (eds: Davies N et al.), LNCS 3205, p 1–17, Springer-Verlag Berlin Heidelberg

  5. Corcella L, Manca M, Paternò F (2017). Personalizing a student home. Proceedings of the 6th International Symposium on End User Development (IS-EUD’17), p 18–33. https://doi.org/10.1007/978-3-319-58735-6_2

  6. Corno F, De Russis L, Roffarello AM (2017) A semantic web approach to simplifying trigger-action programming in the IoT. Computer 50(11):18–24

    Article  Google Scholar 

  7. Corno F, De Russis L, Roffarello AM (2017) A High-Level Approach Towards End User Development in the IoT. In: CHI 2017: The 35th Annual CHI Conference on Human Factors in Computing Systems, Denver, CO (USA), May 6–11, 2017. p 1546–1552

  8. Coutaz J, Crowley J (2016) A first person experience with end-user development for smart home. IEEE Pervasive Comput 15(2):26–39

  9. Criel J, Claeys L, Trappeniers L (2011) Deconstructing Casensa: the CAEMP context-aware empowering platform. Bell Lab Tech J 16(1):35–53

  10. Criel J, Geerts M, Claeys L, Kawsar F. (2011) Empowering elderly end-users for ambient programming: the tangible way. International Conference on Grid and Pervasive Computing (GPC’11). 94–104. https://doi.org/10.1007/978-3-642-20754-9_11

  11. Demiris G, Hensel BK (2008) Technologies for and Aging Society: A Systematic Review of "Smart Home" Applications, Yearbook of Medical Informatics 2008, p 33–40

  12. Desolda G, Ardito C, Matera M (2017) Empowering end users to customise their smart environments: model, composition paradigms, and domain-specific tools. ACM Trans Comput Hum Interact 24(2):14:1–14:33

  13. Ghiani G, Manca M, Paternò F, Santoro C (2017) Personalization of context-dependent applications through trigger-action rules. ACM Trans Comput Hum Interact 24(2):12:1–14:52

  14. Huang J, Cakmak M (2015) Supporting mental model accuracy in trigger-action programming. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, p 215–225

  15. Kerbler B (2018). Using information and communication technology in home care for the elderly, caregiving and home care. Mollaoglu M (ed) InTech. https://doi.org/10.5772/intechopen.72083. Available from: https://www.intechopen.com/books/caregiving-and-home-care/using-information-and-communication-technology-in-home-care-for-the-elderly

  16. Lieberman H, Paternò F, Klann M, Wulf V (2006) End-user development: an emerging paradigm. In: Lieberman H, Paternò F, Wulf V (eds) End user development. Springer, Dordrecht, pp 1–8

    Chapter  Google Scholar 

  17. Lucci G, Paternò F Understanding end-user development of context-dependent applications in smartphones, International Conference on Human-Centred Software Engineering, p 182–198

  18. Markland D, Hardy L (1993) The exercise motivations inventory: preliminary development and validity of a measure of individuals' reasons for participation in regular physical exercise. Pers Individ Differ 15:289–296

    Article  Google Scholar 

  19. Metaxas G, Markopoulos P (2017) Natural contextual reasoning for end users. ACM Trans Comput Hum Interact 24(2):1–36

  20. Parry Carmien S, Fischer G (2008) Design, adoption, and assessment of a socio-technical environment supporting independence for persons with cognitive disabilities. In: Proceedings of the SIGCHI conference on human factors in computing systems (CHI '08). ACM, New York, pp 597–606. https://doi.org/10.1145/1357054.1357151

    Google Scholar 

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

  22. Sauro J, Dumas JS (2009) Comparison of Three One-Question, Post-Task Usability Questionnaires. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09), p 1599–1608. https://doi.org/10.1145/1518701.1518946

  23. Steinke F, Fritsch T, Brem D, Simonsen S (2012). Requirement of AAL systems: older persons' trust in sensors and characteristics of AAL technologies. In: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '12). ACM, New York, NY, USA, Article 15 , 6 pages. https://doi.org/10.1145/2413097.2413116

  24. Teixeira PJ, Carraça EV, Markland D, Silva MN, Ryan RM (2012) Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act 9(78):1–30

    Google Scholar 

  25. Tetteroo D, Vreugdenhil P, Grisel I, Michielsen M, Kuppens E, Vanmulken D, Markopoulos P (2015) Lessons Learnt from Deploying an End-User Development Platform for Physical Rehabilitation. CHI, p 4133–4142

  26. Ur B, McManus E, Ho MPY, Littman ML (2014) Practical trigger-action programming in the smart home. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14), p 803–812. https://doi.org/10.1145/2556288.2557420

  27. Vergados DD (2010) Service personalization for assistive living in a Mobile ambient healthcare-networked environment. Pers Ubiquit Comput 14(6):575–590

    Article  Google Scholar 

  28. Yarosh S, Zave P (2017) Locked or not?: Mental Models of IoT Feature Interaction. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, p 2993–2997. https://doi.org/10.1145/3025453.3025617

  29. Zejda D. (2010). Deep design for ambient intelligence - toward acceptable appliances for higher quality of life for elderly. Proc. of Int. Conf. on Intelligent Environments

  30. Zhao JC, Davis RC, Foong PS, Zhao S (2015) CoFaçade: a customizable assistive approach for elders and their helpers. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '15), p 1583–1592. https://doi.org/10.1145/2702123.2702588

Download references

Acknowledgments

This work was partly supported by the Ambient Assisted Living Project PersonAAL (http://www.personaal-project.eu).

Author information

Authors and Affiliations

  1. CNR-ISTI HIIS Laboratory, Pisa, Italy

    Luca Corcella, Marco Manca, Fabio Paternò & Carmen Santoro

  2. SUNNAS RH, Oslo, Norway

    Jan Egil Nordvik & Anne-Marthe Sanders

Authors
  1. Luca Corcella
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marco Manca
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jan Egil Nordvik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fabio Paternò
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anne-Marthe Sanders
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Carmen Santoro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Carmen Santoro.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Corcella, L., Manca, M., Nordvik, J.E. et al. Enabling personalisation of remote elderly assistance. Multimed Tools Appl 78, 21557–21583 (2019). https://doi.org/10.1007/s11042-019-7449-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-019-7449-z

Keywords

Search

Navigation