Enabling personalisation of remote elderly assistance

  • Luca Corcella
  • Marco Manca
  • Jan Egil Nordvik
  • Fabio Paternò
  • Anne-Marthe Sanders
  • Carmen SantoroEmail author


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.


End-user development Ambient assisted living Personalisation rules 



This work was partly supported by the Ambient Assisted Living Project PersonAAL (


  1. 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):5221–5241CrossRefGoogle Scholar
  2. 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):49–70Google Scholar
  3. 3.
    Chesta C, Corcella L, Kroll S, Manca M, Nuss J, Paternò F, Santoro C (2017) Enabling personalisation of remote elderly assistant applications. CHItaly 6:1–6:9Google Scholar
  4. 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 HeidelbergGoogle Scholar
  5. 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.
  6. 6.
    Corno F, De Russis L, Roffarello AM (2017) A semantic web approach to simplifying trigger-action programming in the IoT. Computer 50(11):18–24CrossRefGoogle Scholar
  7. 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 1546–1552Google Scholar
  8. 8.
    Coutaz J, Crowley J (2016) A first person experience with end-user development for smart home. IEEE Pervasive Comput 15(2):26–39Google Scholar
  9. 9.
    Criel J, Claeys L, Trappeniers L (2011) Deconstructing Casensa: the CAEMP context-aware empowering platform. Bell Lab Tech J 16(1):35–53Google Scholar
  10. 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.
  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 33–40Google Scholar
  12. 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):14:1–14:33Google Scholar
  13. 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):12:1–14:52Google Scholar
  14. 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 215–225Google Scholar
  15. 15.
    Kerbler B (2018). Using information and communication technology in home care for the elderly, caregiving and home care. Mollaoglu M (ed) InTech. Available from:
  16. 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 1–8CrossRefGoogle Scholar
  17. 17.
    Lucci G, Paternò F Understanding end-user development of context-dependent applications in smartphones, International Conference on Human-Centred Software Engineering, p 182–198Google Scholar
  18. 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 15:289–296CrossRefGoogle Scholar
  19. 19.
    Metaxas G, Markopoulos P (2017) Natural contextual reasoning for end users. ACM Trans Comput Hum Interact 24(2):1–36Google Scholar
  20. 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. CrossRefGoogle Scholar
  21. 21.
    Rashidi P, Mihailidis A (2013) A survey on ambient-assisted living tools for older adults. IEEE J Biomed Health Inform 17(3):579–590Google Scholar
  22. 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.
  23. 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.
  24. 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):1–30Google Scholar
  25. 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 4133–4142Google Scholar
  26. 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.
  27. 27.
    Vergados DD (2010) Service personalization for assistive living in a Mobile ambient healthcare-networked environment. Pers Ubiquit Comput 14(6):575–590CrossRefGoogle Scholar
  28. 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.
  29. 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 EnvironmentsGoogle Scholar
  30. 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.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.CNR-ISTI HIIS LaboratoryPisaItaly
  2. 2.SUNNAS RHOsloNorway

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