Reliability and human factors in Ambient Assisted Living environments

The DOREMI case study

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.

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Notes

  1. 1.

    http://www.sustain-eu.org/.

  2. 2.

    http://www.mario-project.eu/portal/.

  3. 3.

    http://www.sense-cog.eu/.

  4. 4.

    http://www.promiss-vu.eu/.

  5. 5.

    http://www.activeageing.unito.it/.

  6. 6.

    http://www.mindmap-cities.eu/.

  7. 7.

    http://commonwell.eu/.

  8. 8.

    http://www.dreaming-project.org/.

  9. 9.

    http://www.isisemd.eu/.

  10. 10.

    http://www.longlastingmemories.eu/.

  11. 11.

    http://www.sociable-project.eu/.

  12. 12.

    http://tseniority.idieikon.com/.

  13. 13.

    http://www.habiliseurope.eu/?q=node/5.

  14. 14.

    http://www.nexeshealth.eu/.

  15. 15.

    http://www.homesweethome-project.be/.

  16. 16.

    http://www.aal-europe.eu/projects/agnes/.

  17. 17.

    http://www.aal-europe.eu/projects/amica/.

  18. 18.

    http://www.aal-europe.eu/projects/ecaalyx/.

  19. 19.

    http://www.aal-europe.eu/projects/join-in/.

  20. 20.

    http://www.aal-europe.eu/projects/hopes/.

  21. 21.

    http://www.aal-europe.eu/projects/silver-game/.

  22. 22.

    http://www.metadieta.it/.

  23. 23.

    http://www.mantisbt.org/.

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, Brussels

    Google 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):12

    Article  Google 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):1451–1464

    Article  Google 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 132–135

  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 54–66

  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 89:128–140

  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 23:26–42

    Article  Google 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 857–862

  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)

  11. 11.

    van den Broek G, Cavallo F, Wehrmann C (2010) AALIANCE ambient assisted living roadmap, vol 6. IOS, Amsterdam

    Google 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):276–281

    Article  Google 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):728–735

    Article  Google 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 261–271

  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):11–21

    Article  Google Scholar 

  16. 16.

    De Russis L (2015) Interacting with smart environments: users, interfaces, and devices. J Ambient Intell Smart Environ 7:115–116

    Google 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), Geneva

  18. 18.

    Gallicchio C, Micheli A (2011) Architectural and Markovian factors of echo state networks. Neural Netw 24(5):440–456

    Article  Google 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, Berlin

    Google Scholar 

  20. 20.

    Giacomin J (2014) What is human centred design? Des J 17(4):606–623

    MathSciNet  Google 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 86–101

  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 127–140

  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):93–106

    Article  Google Scholar 

  24. 24.

    IEEE (1991) IEEE standard computer dictionary: a compilation of IEEE standard computer glossaries, vol 610. IEEE, New York

    Google Scholar 

  25. 25.

    Jaeger H, Haas H (2004) Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication. Science 304(5667):78–80

    Article  Google Scholar 

  26. 26.

    Lloyd S (1982) Least squares quantization in PCM. IEEE Trans Inf Theory 28(2):129–137

    MathSciNet  Article  MATH  Google 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):184–190

    Article  Google 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):49–56

    Article  Google 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):695–699

    Article  Google Scholar 

  30. 30.

    Orlov LM (2012) Technology for aging in place. In: Aging In Place Technology Watch

  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 1–6

  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):87–107

    Article  Google 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 1–6

  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 18–32

  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 6–8

  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 1281–1285

  37. 37.

    Pennings L, Veugen T, De Korte A (2010) When are intelligent sensor environments successful? Technol Soc 32(3):197–203

    Article  Google 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):745–760

    Article  Google Scholar 

  39. 39.

    Sanders EBN, Stappers PJ (2008) Co-creation and the new landscapes of design. CoDesign 4(1):5–18

    Article  Google 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):307–318

    Article  Google Scholar 

  41. 41.

    World Health Organization et al (2015) World report on ageing and health. World Health Organization, Geneva

  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):456–460

    Article  Google Scholar 

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Acknowledgements

Work co-funded by the European Commission in the framework of the FP7 DOREMI project (Grant Agreement No. 611650). The authors wish to thank all the other partners of the DOREMI consortium: Accord Housing Association Limited (UK); AGE Platform Europe (Belgium); Austrian Institute of Technology (Austria); De Montfort University (UK); Fundació per a la Universitat Oberta de Catalunya (Spain); IMAGINARY (Italy); MYSPHERA (Spain); SI4LIFE (Italy); The ExtraCare Charitable Trust (UK).

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Correspondence to Filippo Palumbo.

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Decrease in cOgnitive decline, malnutrRtion and sedEntariness by elderly empowerment in lifestyle Management and social Inclusion.

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Palumbo, F., La Rosa, D., Ferro, E. et al. Reliability and human factors in Ambient Assisted Living environments. J Reliable Intell Environ 3, 139–157 (2017). https://doi.org/10.1007/s40860-017-0042-1

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Keywords

  • Ambient Assisted Living
  • Human factors
  • Reliability
  • Intelligent Environments