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FlexPersonas: flexible design of IoT-based home healthcare systems targeted at the older adults

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Abstract

The advance in Internet of Things technology has increased the opportunities for a healthcare system design, which is an urgent need owing to the growth in population among the older adults in many countries. This requires giving thought to the kind of innovative technological design methods that can find suitable solutions for home care. The application of Health Smart Homes by means of the technologies of the Internet of Things, can be used to support rehabilitation treatment and help the senior citizens to understand the importance of taking measures to maintain a healthy standard of living that can meet their needs. The aim of this article is to develop and assess a design method for the following purposes: (1) to determine and map out the physical and emotional state of the home care users, such as senior citizens; (2) to implement a participatory design that includes the user within its social, psychological and therapeutic context; (3) to explore the flexible method when applied to older users; (4) to provide a way for the users to be “personalized” through a wide range of solutions that involve analyzing the behavioral patterns of different individuals in a standardized manner and (5) to define a set of smart technologies for each problem and senior citizen. This article sets out a collaborative method called FlexPersonas, which is employed for the flexible mapping of users and to improve decision-making with the support of Internet of Things technologies. In this context, computing systems can identify the behavior of the user and issue warnings to the Carers about any abnormal event (for example falls or accidents). Studies with an interdisciplinary team point out the potential and drawbacks of the method.

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Notes

  1. The study was approved by the Human Research Ethics Committee of the Brazil Platform, Brazil (HREC-45081415.0.0000.0065).

  2. Minimum wage exists in countries like Brazil and Australia and is the lowest remuneration that employers can legally pay their workers. In addition, it is the price floor below which workers may not sell their labor.

References

  • Achterkamp R, Cabrita M (2013) Op den Akker H, Hermens HJ, Vollenbroek-Hutten MMR (2013) Promoting a healthy lifestyle: towards an improved personalized feedback approach. In: 2013 IEEE 15th international conference on e-health networking, applications and services (Healthcom 2013), pp 725–727

  • Alegre U, Augusto JC, Clark T (2016) Engineering context-aware systems and applications: a survey. J Syst Softw 117:55–83

    Article  Google Scholar 

  • Baranauskas MCC, Bonacin R (2008) Design—indicating through signs. Des Issues 24(3):30–45

    Article  Google Scholar 

  • Burrows A, Gooberman-Hill R, Coyle D (2015) Empirically derived user attributes for the design of home healthcare technologies. Pers Ubiquitous Comput 19(8):1233–1245

    Article  Google Scholar 

  • Burrows A, Mitchell V, Nicolle C (2016) Let’s spend some time together: exploring the out-of-box experience of technology for older adults. Int J Mob Hum Comput Interact (IJMHCI) 8(2):69–82

    Article  Google Scholar 

  • Chaimowicz F (2013) Saúde do Idoso. Book, 2nd edn. NESCON UFMG, Belo Horizonte

    Google Scholar 

  • Chidzambwa L, Michell V, Liu K (2017) Applying semiotics in configuration of home telecare devices in ambient assisted living environments. University of Reading, Reading

    Google Scholar 

  • Cooper A (2004) The inmates are running the asylum: why high-tech products drive us crazy and how to restore the sanity, vol 2. Sams, Indianapolis

    Google Scholar 

  • Cozza M, De Angeli A, Tonolli L (2017) Ubiquitous technologies for older people. Pers Ubiquit Comput 21(3):607–619

    Article  Google Scholar 

  • de Miranda LC, Piccolo LSG, Baranauskas MCC (2008) Artefatos físicos de interação com a tvdi: Desafios e diretrizes para o cenário brasileiro. In: Proceedings of the VIII Brazilian symposium on human factors in computing systems, IHC’08, (Porto Alegre, Brazil). Brazilian Computer Society, pp 60–69

  • de Podestá Gaspar R, Bonacin R, Gonçalves VP (2018) Designing IoT solutions for elderly home care: a systematic study of participatory design, personas and semiotics. In: International conference on universal access in human–computer interaction, Springer, pp 226–245

  • Dewandre N (2019) Humans as relational selves. AI Soc 34(1):95–98

    Article  Google Scholar 

  • Dobre C, Mavromoustakis C, Garcia N, Goleva RI, Mastorakis G (2016) Ambient assisted living and enhanced living environments: principles, technologies and control. Butterworth-Heinemann, Oxford

    Google Scholar 

  • Gomes PH, Watteyne T, Gosh P, Krishnamachari B (2016) Competition: reliability through time slotted channel hopping and flooding-based routing. In: Proceedings of the 2016 international conference on embedded wireless systems and networks, EWSN’16, (USA). Junction Publishing, pp 297–298

  • Gonçalves VP, De Almeida Neris VP, Ueyama J (2011) Interação de idosos com celulares: Flexibilidade para atender a diversidade. In: Proceedings of the 10th Brazilian symposium on human factors in computing systems and the 5th Latin American conference on human–computer interaction, IHC + CLIHC’11, (Porto Alegre, Brazil). Brazilian Computer Society, pp 343–352

  • Gonçalves VP, Neris VP, Ueyama J, Seraphini S (2012) An analitic approach to evaluate flexible mobile user interfaces for the elderly. In: 2012 14th international conference on enterprise information systems (ICEIS 2012)

  • Gonçalves VP, Neris VP, Ueyama J, Seraphini S, Dias TC, Rocha Filho GP (2013) Senior citizens in interaction with mobile phones: a flexible middleware approach to support the diversity. 1:315–321

    Google Scholar 

  • Gonçalves VP, de Almeida Neris VP, Seraphini S, Dias TC, Pessin G, Johnson T, Ueyama J (2017a) Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly. Univ Access Inf Soc 16(1):129–149

    Article  Google Scholar 

  • Gonçalves VP, Giancristofaro GT, Rocha Filho GP, Johnson T, Carvalho V, Pessin G, de Almeida Neris VP, Ueyama J (2017b) Assessing users’ emotion at interaction time: a multimodal approach with multiple sensors. Soft Comput 21(18):5309–5323

    Article  Google Scholar 

  • Gonçalves VP, Costa EP, Valejo A, Rocha Filho GP, Johnson TM, Pessin G, Ueyama J (2017c) Enhancing intelligence in multimodal emotion assessments. Appl Intell 46(2):470–486

    Article  Google Scholar 

  • Goodwin K (2011) Designing for the digital age: how to create human-centered products and services. Wiley, New York

    Google Scholar 

  • Greenhalgh T, Wherton J, Sugarhood P, Hinder S, Procter R, Stones R (2013) What matters to older people with assisted living needs? A phenomenological analysis of the use and non-use of telehealth and telecare. Soc Sci Med 93:86–94

    Article  Google Scholar 

  • Haslwanter JDH, Fitzpatrick G (2017) Issues in the development of AAL systems: what experts think. In: Proceedings of the 10th international conference on pervasive technologies related to assistive environments. ACM, pp 201–208

  • Holden RJ, Kulanthaivel A, Purkayastha S, Goggins KM, Kripalani S (2017) Know thy ehealth user: development of biopsychosocial personas from a study of older adults with heart failure. Int J Med Inform 108:158–167

    Article  Google Scholar 

  • Holzinger A, Searle G, Auinger A, Ziefle M (2011) Informatics as semiotics engineering: lessons learned from design, development and evaluation of ambient assisted living applications for elderly people. In: International conference on universal access in human–computer interaction. Springer, pp 183–192

  • Huang KY, Wu CH, Su MH, Kuo YT (2018) Detecting unipolar and bipolar depressive disorders from elicited speech responses using latent affective structure model. IEEE Trans Affect Comput 11:393–404

    Article  Google Scholar 

  • IBGE (2020) Projeção da população do brasil e das unidades da federação. Brazilian Institute of Geography and Statistics. https://ww2.ibge.gov.br/apps/populacao/projecao/. Accessed 8 Jan 2020

  • Kolkman M (1993) Problem articulation methodology. Ph.D. Thesis. University of Twente, Netherlands

  • Kostoulas T, Mporas I, Kocsis O, Ganchev T, Katsaounos N, Santamaria JJ, Jimenez-Murcia S, Fernandez-Aranda F, Fakotakis N (2012) Affective speech interface in serious games for supporting therapy of mental disorders. Expert Syst Appl 39(12):11072–11079

    Article  Google Scholar 

  • Kyriazakos S, Mihaylov M, Anggorojati B, Mihovska A, Craciunescu R, Fratu O, Prasad R (2016) Ewall: an intelligent caring home environment offering personalized context-aware applications based on advanced sensing. Wirel Pers Commun 87(3):1093–1111

    Article  Google Scholar 

  • Lacerda Filho EM, Gonçalves VP (2020) Achieving privacy, security, and interoperability among biometric networks using symmetric encryption. In: Proceedings of the 6th international conference on information systems security and privacy, vol 1, p 481–489

  • Lang PJ, Bradley MM, Cuthbert BN (2008) International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical report A-8

  • LeRouge C, Ma J, Sneha S, Tolle K (2013) User profiles and personas in the design and development of consumer health technologies. Int J Med Inform 82(11):e251–e268

    Article  Google Scholar 

  • Lindsay S, Jackson D, Schofield G, Olivier P (2012) Engaging older people using participatory design. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI’12, (New York, NY, USA) ACM, pp 1199–1208

  • Liu K (2000) Semiotics in information systems engineering. Cambridge University Press, New York

    Book  MATH  Google Scholar 

  • Liu K, Li W (2014) Organizational semiotics for business informatics. Routledge, Oxfordshire

    Book  Google Scholar 

  • Mader S, Natkin S, Levieux G (2012) How to analyse therapeutic games: the player/game/therapy model. Springer, Berlin, pp 193–206

    Google Scholar 

  • Mano LY (2018) Emotional condition in the health smart homes environment: emotion recognition using ensemble of classifiers. In: 2018 innovations in intelligent systems and applications (IN-ISTA). IEEE, pp 1–8

  • Mano LY, Faiçal BS, Nakamura LH, Gomes PH, Libralon GL, Meneguete RI, Filho GP, Giancristofaro GT, Pessin G, Krishnamachari B, Ueyama J (2016) Exploiting IoT technologies for enhancing health smart homes through patient identification and emotion recognition. Comput Commun 89–90:178–190

    Article  Google Scholar 

  • Mano L, Mazzo A, Neto JRT, Cotta Filho CK, Goncalves VP, Ueyama J, Junior GAP (2019) The relation of satisfaction, self-confidence and emotion in a simulated environment. Int J Nurs Educ Scholarsh 16:1–9

    Article  Google Scholar 

  • Melo-Solarte DS, Baranauskas MCC (2009) Resolução de problemas e colaboração a distância: modelo, artefatos e sistema. Rev Bras Inf Educ 17(2):21–35

    Google Scholar 

  • Memon M, Wagner SR, Pedersen CF, Beevi FHA, Hansen FO (2014) Ambient assisted living healthcare frameworks, platforms, standards, and quality attributes. Sensors 14(3):4312–4341

    Article  Google Scholar 

  • Nielsen J (2020) Generation app: 62% of mobile users 25-34 own smartphones. http://blog.nielsen.com/nielsenwire/online_mobile-generation-app-62-of-mobile-users-25-34-own-smartphones. Accessed 17 Feb 2020

  • Ouchi K, Doi M (2013) Smartphone-based monitoring system for activities of daily living for elderly people and their relatives etc. In: Proceedings of the 2013 ACM conference on pervasive and ubiquitous computing adjunct publication. ACM, pp 103–106

  • Peirce CS (1960) Collected papers of charles sanders peirce, vol 2. Harvard University Press, Cambridge

    Google Scholar 

  • Phull R, Liscano R, Mihailidis A (2016) Comparative analysis of prominent middleware platforms in the domain of ambient assisted living (aal) for an older adults with dementia (oawd) scenario. Procedia Comput Sci 83:537–544

    Article  Google Scholar 

  • Piccolo LS, Pereira R (2019) Culture-based artefacts to inform ICT design: foundations and practice. AI Soc 34(3):437–453

    Article  Google Scholar 

  • Piccolo LS, Baranauskas C, Azevedo R (2017) A socially inspired energy feedback technology: challenges in a developing scenario. AI Soc 32(3):383–399

    Article  Google Scholar 

  • Pruitt J, Adlin T (2006) Persona life cycle: keeping people in mind throughout product design. Morgan Kaufmann. Elsevier, San Francisco

    Google Scholar 

  • Rocha Filho GP, Meneguette RI, Maia G, Pessin G, Gonçalves VP, Weigang L, Ueyama J, Villas LA (2020) A fog-enabled smart home solution for decision-making using smart objects. Future Gener Comput Syst 103:18–27

    Article  Google Scholar 

  • RochaFilho GP, Villas LA, Gonçalves VP, Pessin G, Loureiro AA, Ueyama J (2019) Energy-efficient smart home systems: infrastructure and decision-making process. Internet Things 5:153–167

    Article  Google Scholar 

  • Rodrigues KH, Garcia FE, Bocanegra L, Gonçalves VP, Carvalho V, Neris VP (2015) Personas-driven design for mental health therapeutic applications. SBC J Interact Syst 6(1):18–34

    Google Scholar 

  • Rodrigues KH, Gonçalves VP, Neris VP (2016) Tecnologias de Informação e Comunicação Inclusivas e o Envelhecer. In: Campos ACV, Berlezi EM, Corrêa AHM (Org). Promoção da Saúde para um Envelhecimento Saudável, 1 edn, vol 4. Ijuí-RS: Unijuí, p 265–288

  • Rogers Y, Paay J, Brereton M, Vaisutis KL, Marsden G, Vetere F (2014) Never too old: engaging retired people inventing the future with makey makey. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI’14 (New York, NY, USA). ACM, pp 3913–3922

  • Schulte BF, Marshall P, Cox AL (2016) Homes for life: a design fiction probe. In: Proceedings of the 9th nordic conference on human–computer interaction. ACM, p 80

  • Stamper R, Althans K, Backhouse J (1998) MEASUR: Method for Eliciting, Analizing and Specifying User Requirements. In: Olle T, Verrijn-Stuart A, Bhabuts L (eds) Computerized Assistance During the Information Systems Life-cycle. Elsevier Science, Amsterdam, pp 67–116

    Google Scholar 

  • Talamo A, Camilli M, Di Lucchio L, Ventura S (2017) Information from the past: how elderly people orchestrate presences, memories and technologies at home. Univ Access Inf Soc 16(3):739–753

    Article  Google Scholar 

  • TorresNeto JR, RochaFilho GP, Mano LY, Villas LA, Ueyama J (2019) Exploiting offloading in IoT-based microfog: experiments with face recognition and fall detection. Wirel Commun Mob Comput 2019:13

    Google Scholar 

  • UN (2020) United nations: Levels and trends in population ageing. http://www.un.org/en/index.html. Accessed 28 Feb 2020

  • Union I (2014) Communication from the commission to the European parliament, the council, the european economic and social committee and the committee of the regions

  • Vincent CJ, Blandford A (2014) The challenges of delivering validated personas for medical equipment design. Appl Ergon 45(4):1097–1105

    Article  Google Scholar 

  • Wagner S, Hansen FO, Pedersen CF, Memon M, Aysha FH, Mathissen M, Nielsen C, Wesby OL (2013) Carestore platform for seamless deployment of ambient assisted living applications and devices. In: 2013 7th international conference on pervasive computing technologies for healthcare and workshops. IEEE, pp 240–243

  • Wärnestål P, Svedberg P, Nygren J (2014) Co-constructing child personas for health-promoting services with vulnerable children. In: Proceedings of the 32nd annual ACM conference on human factors in computing systems, CHI’14, (New York, NY, USA). ACM, pp 3767–3776

  • WHO (2020) World health organization: data and statistics on world ageing. https://www.who.int/en/. Accessed 3 Feb 2020

  • Yogesh CK, Hariharan M, Ngadiran R, Adom AH, Yaacob S, Berkai C, Polat K (2017) A new hybrid pso assisted biogeography-based optimization for emotion and stress recognition from speech signal. Expert Syst Appl 69:149–158

    Article  Google Scholar 

  • Zhao S, Rudzicz F, Carvalho LG, Marquez-Chin C, Livingstone S (2014) Automatic detection of expressed emotion in parkinson’s disease. In: 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 4813–4817

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Acknowledgements

The authors thank the health professionals, CNPq, CAPES and FAPESP for support and funding and research group for the valuable contributions on the development of the method and feasibility study—Ligia de Santis, Juliana Faccioli, Mariane Bernardi, Maria Clara Miceli, Patrícia W. Schelini, Jó Ueyama, Alex B. França, José R. Torres Neto.

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Correspondence to Vinícius P. Gonçalves.

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Gonçalves, V.P., Filho, G.P.R., Mano, L.Y. et al. FlexPersonas: flexible design of IoT-based home healthcare systems targeted at the older adults. AI & Soc 36, 955–973 (2021). https://doi.org/10.1007/s00146-020-01113-9

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