Journal of Reliable Intelligent Environments

, Volume 3, Issue 3, pp 139–157 | Cite as

Reliability and human factors in Ambient Assisted Living environments

The DOREMI case study
  • Filippo Palumbo
  • Davide La Rosa
  • Erina Ferro
  • Davide Bacciu
  • Claudio Gallicchio
  • Alessio Micheli
  • Stefano Chessa
  • Federico Vozzi
  • Oberdan Parodi
Original Article

Abstract

Malnutrition, sedentariness, and cognitive decline in elderly people represent the target areas addressed by the DOREMI project. It aimed at developing a systemic solution for elderly, able to prolong their functional and cognitive capacity by empowering, stimulating, and unobtrusively monitoring the daily activities according to well-defined “Active Ageing” life-style protocols. Besides the key features of DOREMI in terms of technological and medical protocol solutions, this work is focused on the analysis of the impact of such a solution on the daily life of users and how the users’ behaviour modifies the expected results of the system in a long-term perspective. To this end, we analyse the reliability of the whole system in terms of human factors and their effects on the reliability requirements identified before starting the experimentation in the pilot sites. After giving an overview of the technological solutions we adopted in the project, this paper concentrates on the activities conducted during the two pilot site studies (32 test sites across UK and Italy), the users’ experience of the entire system, and how human factors influenced its overall reliability.

Keywords

Ambient Assisted Living Human factors Reliability Intelligent Environments 

References

  1. 1.
    Afsarmanesh H, Brielmann M, Camarinha-Matos L, Ferrada F, Oliveira A, Rosas J, Bond R et al (2011) Consolidated vision of ICT and ageing. BRAID, BrusselsGoogle Scholar
  2. 2.
    Augusto JC, Callaghan V, Cook D, Kameas A, Satoh I (2013) Intelligent environments: a manifesto. Hum Centric Comput Inf Sci 3(1):12CrossRefGoogle Scholar
  3. 3.
    Augusto J, Kramer D, Alegre U, Covaci A, Santokhee A (2017) The user-centred intelligent environments development process as a guide to co-create smart technology for people with special needs. Univers Access Inf Soc 1–16. doi:10.1007/s10209-016-0514-8
  4. 4.
    Bacciu D, Barsocchi P, Chessa S, Gallicchio C, Micheli A (2014) An experimental characterization of reservoir computing in ambient assisted living applications. Neural Comput Appl 24(6):1451–1464CrossRefGoogle Scholar
  5. 5.
    Bacciu D, Chessa S, Ferro E, Fortunati L, Gallicchio C, La Rosa D, Llorente M, Micheli A, Palumbo F, Parodi O et al (2016) Detecting socialization events in ageing people: the experience of the DOREMI project. In: 2016 12th international conference on intelligent environments (IE). IEEE, New York, pp 132–135Google Scholar
  6. 6.
    Bacciu D, Chessa S, Gallicchio C, Micheli A, Ferro E, Fortunati L, Palumbo F, Parodi O, Vozzi F, Hanke S et al (2015) Smart environments and context-awareness for lifestyle management in a healthy active ageing framework. In: Portuguese conference on artificial intelligence. Springer, Berlin, pp 54–66Google Scholar
  7. 7.
    Barbon G, Margolis M, Palumbo F, Raimondi F, Weldin N (2016) Taking Arduino to the Internet of Things: the ASIP programming model. Comput Commun 89:128–140Google Scholar
  8. 8.
    Barsocchi P, Cimino MG, Ferro E, Lazzeri A, Palumbo F, Vaglini G (2015) Monitoring elderly behavior via indoor position-based stigmergy. Pervasive Mob Comput 23:26–42CrossRefGoogle Scholar
  9. 9.
    Barsocchi P, Ferro E, Fortunati L, Mavilia F, Palumbo F (2014) EMS@CNR: an energy monitoring sensor network infrastructure for in-building location-based services. In: 2014 International conference on high performance computing and simulation (HPCS). IEEE, New York, pp 857–862Google Scholar
  10. 10.
    Bonfiglio, S.: Open architecture for accessible services integration and standardisation (OASIS). FIMI SRL Italy, Funded under 7th FWP, ICT-2007.7.1 (2007)Google Scholar
  11. 11.
    van den Broek G, Cavallo F, Wehrmann C (2010) AALIANCE ambient assisted living roadmap, vol 6. IOS, AmsterdamGoogle Scholar
  12. 12.
    Chan J, Shojania KG, Easty AC, Etchells EE (2011) Does user-centred design affect the efficiency, usability and safety of CPOE order sets? J Am Med Inform Assoc 18(3):276–281CrossRefGoogle Scholar
  13. 13.
    Cohen TN, Wiegmann DA, Shappell SA (2015) Evaluating the reliability of the human factors analysis and classification system. Aerosp Med Hum Perform 86(8):728–735CrossRefGoogle Scholar
  14. 14.
    Coradeschi S, Cesta A, Cortellessa G, Coraci L, Galindo C, Gonzalez J, Karlsson L, Forsberg A, Frennert S, Furfari F et al (2014) GiraffPlus: a system for monitoring activities and physiological parameters and promoting social interaction for elderly. In: Hippe ZS, Kulikowski JL, Mroczek T, Wtorek J (eds) Human-computer systems interaction: backgrounds and applications 3, Springer, pp 261–271Google Scholar
  15. 15.
    Corno F, Guercio E, De Russis L, Gargiulo E (2015) Designing for user confidence in intelligent environments. J Reliab Intell Environ 1(1):11–21CrossRefGoogle Scholar
  16. 16.
    De Russis L (2015) Interacting with smart environments: users, interfaces, and devices. J Ambient Intell Smart Environ 7:115–116Google Scholar
  17. 17.
    DIS (2009) ISO:9241-210:2010. Ergonomics of human system interaction-part 210: human-centred design for interactive systems. International Standardization Organization (ISO), GenevaGoogle Scholar
  18. 18.
    Gallicchio C, Micheli A (2011) Architectural and Markovian factors of echo state networks. Neural Netw 24(5):440–456CrossRefGoogle Scholar
  19. 19.
    Gallicchio C, Micheli A, Pedrelli L, Fortunati L, Vozzi F, Parodi O (2016) A reservoir computing approach for balance assessment. Lecture notes in computer science, vol 9785. Springer International Publishing, BerlinGoogle Scholar
  20. 20.
    Giacomin J (2014) What is human centred design? Des J 17(4):606–623MathSciNetGoogle Scholar
  21. 21.
    Girolami M, Palumbo F, Furfari F, Chessa S (2013) The integration of ZigBee with the GiraffPlus robotic framework. In: International joint conference on ambient intelligence. Springer, Berlin, pp 86–101Google Scholar
  22. 22.
    Hanke S,Mayer C, Hoeftberger O, Boos H, Wichert R, Tazari M-R, Wolf P, Furfari F (2011) UniversAAL—an open and consolidated AAL platform. In: Wichert R, Eberhardt B (eds) Ambient assisted living. Springer, pp 127–140Google Scholar
  23. 23.
    Hu Y, Tilke D, Adams T, Crandall AS, Cook DJ, Schmitter-Edgecombe M (2016) Smart home in a box: usability study for a large scale self-installation of smart home technologies. J Reliab Intell Environ 2(2):93–106CrossRefGoogle Scholar
  24. 24.
    IEEE (1991) IEEE standard computer dictionary: a compilation of IEEE standard computer glossaries, vol 610. IEEE, New YorkGoogle Scholar
  25. 25.
    Jaeger H, Haas H (2004) Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304(5667):78–80CrossRefGoogle Scholar
  26. 26.
    Lloyd S (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2):129–137MathSciNetCrossRefMATHGoogle Scholar
  27. 27.
    Martin JL, Clark DJ, Morgan SP, Crowe JA, Murphy E (2012) A user-centred approach to requirements elicitation in medical device development: a case study from an industry perspective. Appl Ergon 43(1):184–190CrossRefGoogle Scholar
  28. 28.
    McCurdie T, Taneva S, Casselman M, Yeung M, McDaniel C, Ho W, Cafazzo J (2012) mHealth consumer apps: the case for user-centered design. Biomed Instrum Technol 46(s2):49–56CrossRefGoogle Scholar
  29. 29.
    Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H (2005) The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53(4):695–699CrossRefGoogle Scholar
  30. 30.
    Orlov LM (2012) Technology for aging in place. In: Aging In Place Technology WatchGoogle Scholar
  31. 31.
    Palumbo F, Barsocchi P, Chessa S, Augusto JC (2015) A stigmergic approach to indoor localization using bluetooth low energy beacons. In: 2015 12th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, New York, pp 1–6Google Scholar
  32. 32.
    Palumbo F, Gallicchio C, Pucci R, Micheli A (2016) Human activity recognition using multisensor data fusion based on reservoir computing. J Ambient Intell Smart Environ 8(2):87–107CrossRefGoogle Scholar
  33. 33.
    Palumbo F, La Rosa D, Chessa S (2014) Gp-m: mobile middleware infrastructure for ambient assisted living. In: 2014 IEEE symposium on computers and communications (ISCC). IEEE, New York, pp 1–6Google Scholar
  34. 34.
    Palumbo F, La Rosa D, Ferro E (2013) Stigmergy-based long-term monitoring of indoor users mobility in Ambient Assisted Living environments: the DOREMI project approach. In: Bandini S, Cortellessa G, Palumbo F (eds) AI*AAL2016 Artificial Intelligence for Ambient Assisted Living 2016, vol 1803 in CEUR workshop proceedings. Aachen, pp 18–32Google Scholar
  35. 35.
    Pannese L (2016) Games keep you forever young in mind and body. In: De Carvalho CV, Escudeiro P, Coelho A (eds) Serious games, interaction, and simulation. Springer, pp 6–8Google Scholar
  36. 36.
    Pannese L, Wortley D, Ascolese A (2016) Gamified wellbeing for all ages—how technology and gamification can support physical and mental wellbeing in the ageing society. In: XIV Mediterranean conference on medical and biological engineering and computing 2016. Springer, Berlin, pp 1281–1285Google Scholar
  37. 37.
    Pennings L, Veugen T, De Korte A (2010) When are intelligent sensor environments successful? Technol Soc 32(3):197–203CrossRefGoogle Scholar
  38. 38.
    Potortì F, Palumbo F (2015) CEO: a context event only indoor localization technique for AAL. J Ambient Intell Smart Environ 7(6):745–760CrossRefGoogle Scholar
  39. 39.
    Sanders EBN, Stappers PJ (2008) Co-creation and the new landscapes of design. CoDesign 4(1):5–18CrossRefGoogle Scholar
  40. 40.
    Teixeira CM, Vasconcelos-Raposo J, Fernandes HM, Brustad RJ (2013) Physical activity, depression and anxiety among the elderly. Soc Indic Res 113(1):307–318CrossRefGoogle Scholar
  41. 41.
    World Health Organization et al (2015) World report on ageing and health. World Health Organization, GenevaGoogle Scholar
  42. 42.
    Yoshimura K, Yamada M, Kajiwara Y, Nishiguchi S, Aoyama T (2013) Relationship between depression and risk of malnutrition among community-dwelling young-old and old-old elderly people. Aging Ment Health 17(4):456–460CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Information Science and Technologies Institute, ISTI-CNRPisaItaly
  2. 2.Department of Computer ScienceUniversity of PisaPisaItaly
  3. 3.Institute of Clinical Physiology, IFC-CNRPisaItaly

Personalised recommendations