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A systematic review of gamification techniques applied to elderly care

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Abstract

The proportion of the world’s population growing older is rapidly increasing over the last decades. With the recent progresses seen in information and communication technologies, there have been great concerns about developing personalized healthcare services that can ensure the living conditions and active aging of the elderly people. Among these technologies, we highlight and review in this work, the current state of gamification and related techniques applied to the elderly care context. Six research questions were defined to provide an overview on the current state in the development of gamified systems for elderly care through the identification of publication source types, research areas, target groups, game design elements and technologies employed and observed issues and benefits of using gamification in this context. Results have shown a great diversity in publication source types and research areas, even within the health domain. Different target groups were identified based on surrounding environment and physical and cognitive capabilities of the elderly person. Feedback, progression, rewards and social interaction enhancement are highlighted as the most relevant and frequently used game design elements for this context. Technological features observed include self-management systems, portable devices, physical robots, consoles and wearable technologies. The use of gamification techniques to support elderly people has proven to be beneficial to improve wellbeing as well as both physical, cognitive, social, and emotional state of the elderly person. Current challenges are most related with the need for traditional healthcare services to integrate gamification techniques to improve personalized healthcare and answer different necessities and adapt the support provided according to the individual capabilities of elderly people. The findings presented in this systematic literature review should be considered in the development of future personalized elderly care solutions by adapting the support provided according to interests, capabilities, necessities and contexts associated to the elderly person as a means to improve independence, health and wellbeing, capture interest and positive engagement, facilitate social interaction and decrease impact of many different medical conditions affecting older people.

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References

  • Agrigoroaie RM, Tapus A (2016) Developing a healthcare robot with personalized behaviors and social skills for the elderly. In: 2016 11th ACM/IEEE international conference on human-robot interaction (HRI). IEEE, pp 589–590

  • Ahmed B, Kim DH, Hwang Y, Park S-J (2018) Treatment of Alzheimer’s, cognitive, chronic pain rehabilitation, depression and anxiety disorders in one system for elderly using VR. In: 2018 15th international conference on ubiquitous robots (UR). IEEE, pp 483–488

  • Ahn HS, Santos MPG, Wadhwa C, MacDonald B (2014) Development of brain training games for a healthcare service robot for older people. In: Beetz M, Johnston B, Williams MA (eds) Social robotics, vol 8755, pp 1–10

  • Alahäivälä T, Oinas-Kukkonen H (2016) Understanding persuasion contexts in health gamification: a systematic analysis of gamified health behavior change support systems literature. Int J Med Inform 96:62–70

    Google Scholar 

  • Alkhushayni S, McRoy S (2016) mHealth technology: towards a new mobile application for caregivers of the elderly living with multiple chronic conditions (ELMCC). ACM

  • Alla A, Nafil K (2019) Gamification in IoT application: a systematic mapping study. Proc Comput Sci 151:455–462

    Google Scholar 

  • Alloni A, Sinforiani E, Zucchella C, Sandrini G, Bernini S, Cattani B, Pardell DT, Quaglini S, Pistarini C (2017) Computer-based cognitive rehabilitation: the CoRe system. Disabil Rehabil 39:407–417

    Google Scholar 

  • Amritha N, Mahima MM, Namitha K, Unnikrishnan R, Harish MT, Ravi S, Bhavani RR (2016) Design and development of balance training platform and games for people with balance impairments. In: 2016 international conference on advances in computing, communications and informatics (ICACCI). IEEE, pp 960–966

  • Anguera JA, Gazzaley A (2015) Video games, cognitive exercises, and the enhancement of cognitive abilities. Curr Opin Behav Sci 4:160–165

    Google Scholar 

  • Awada IA, Mocanu I, Jecan S, Rusu L, Florea AM, Cramariuc O, Cramariuc B (2017) Mobile@ old-an assistive platform for maintaining a healthy lifestyle for elderly people. In: E-Health and bioengineering conference (EHB). IEEE, pp 591–594

  • Bauer C, Dey AK (2016) Considering context in the design of intelligent systems: current practices and suggestions for improvement. J Syst Softw 112:26–47

    Google Scholar 

  • Bieryla KA (2016) Xbox Kinect training to improve clinical measures of balance in older adults: a pilot study. Aging Clin Exp Res 28:451–457

    Google Scholar 

  • Bieryla KA, Dold NM (2013) Feasibility of Wii Fit training to improve clinical measures of balance in older adults. Clin Interv Aging 8:775–781

    Google Scholar 

  • Billis AS, Konstantinidis EI, Ladas AI, Tsolaki MN, Pappas C, Bamidis PD (2011) Evaluating affective usability experiences of an exergaming platform for seniors. In: 2011 10th international workshop on biomedical engineering, pp 1–4

  • Boot WR, Moxley JH, Roque NA, Andringa R, Charness N, Czaja SJ, Sharit J, Mitzner T, Lee CC, Rogers WA (2018) Exploring older adults’ video game use in the PRISM computer system. Innov Aging 2:igy009

    Google Scholar 

  • Boquete L, Rodriguez-Ascariz JM, Amo-Usanos C, Martinez-Arribas A, Amo-Usanos J, Oton S (2011) User-friendly cognitive training for the elderly: a technical report. Telemed E-Health 17:456–460

    Google Scholar 

  • Borghese NA, Pirovano M, Lanzi PL, Wüest S, de Bruin ED (2013) Computational intelligence and game design for effective at-home stroke rehabilitation. Games Health 2:81–88

    Google Scholar 

  • Botsis T, Demiris G, Pedersen S, Hartvigsen G (2008) Home telecare technologies for the elderly. J Telemed Telecare 14:333–337

    Google Scholar 

  • Brauner P, Valdez AC, Schroeder U, Ziefle M (2013) Increase physical fitness and create health awareness through exergames and gamification. In: Human factors in computing and informatics. Springer, pp 349-362

  • Brox E, Konstantinidis ST, Evertsen G, Fernandez-Luque L, Remartinez A, Oesch P, Civit A (2016) GameUp: exergames for mobility—a project to keep elderly active. In: Kyriacou E, Christofides S, Pattichis CS (eds) Xiv mediterranean conference on medical and biological engineering and computing 2016, vol 57, pp 1219–1224

  • Buchem I, Merceron A, Kreutel J, Haesner M, Steinert A (2015a) Gamification designs in wearable enhanced learning for healthy ageing. In: 2015 international conference on interactive mobile communication technologies and learning (IMCL), pp 9–15

  • Buchem I, Merceron A, Kreutel J, Haesner M, Steinert A (2015b) Wearable enhanced learning for healthy ageing: conceptual framework and architecture of the “Fitness MOOC”. Interaction Design and Architectures 24:111–124

    Google Scholar 

  • Budgen D, Brereton P (2006) Performing systematic literature reviews in software engineering. In: Proceedings of the 28th international conference on Software engineering. ACM, pp 1051–1052

  • Burdea G, Polistico K, Liu R, House G, Muñiz R, Macaro N, Slater L, Parker FE, Hundal J, Pollack S (2015) BrightBrainer feasibility study in a medical adult day program. In: 2015 International conference on virtual rehabilitation proceedings (ICVR). IEEE, pp 57–64

  • Caggianese G, Chirico A, De Pietro G, Gallo L, Giordano A, Predazzi M, Neroni P (2018) Towards a virtual reality cognitive training system for mild cognitive impairment and alzheimer’s disease patients. In: 2018 32nd international conference on advanced information networking and applications workshops (WAINA). IEEE, pp 663–667

  • Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, Saunders TJ, Katzmarzyk PT, Okely AD, Connor Gorber S, Kho ME, Sampson M, Lee H (2016) Tremblay MS (2016) Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab 41:S240–S265

    Google Scholar 

  • Catala L, Julian V, Gil-Gomez JA (2014) A CBR-Based game recommender for rehabilitation videogames in social networks. In: Corchado E, Lozano JA, Quintian H, Yin H (eds) Intelligent data engineering and automated learning-ideal 2014, vol 8669, pp 370–377

  • Chan J, Nejat G (2010) Promoting engagement in cognitively stimulating activities using an intelligent socially assistive robot. In: 2010 IEEE/ASME international conference on advanced intelligent mechatronics (AIM). IEEE, pp 533–538

  • Chao F-L, Feng C-S, Fanjiang B, Sun C-L (2017) Design Jigsaw puzzle and app for Nostalgia-based support on elderly with Dementia. In: 2017 IEEE 8th international conference on awareness science and technology (iCAST). IEEE, pp 284–289

  • Chatterjee S, Price A (2009) Healthy living with persuasive technologies: framework, issues, and challenges. J Am Med Inform Assoc 16:171–178

    Google Scholar 

  • Chromy A, Zalud L, Klima O (2016) DeskBalance: novel gamified system for diagnosis and treatment of postural stability. IFAC-PapersOnLine 49:200–205

    Google Scholar 

  • Codreanu IA, Florea AM (2015) A proposed serious game architecture to self-management healthcare for older adults. In: 2015 17th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC). IEEE, pp 437–440

  • Codreanu I, Florea AM, Mocanu I (2017) A home based health-care solution for older adults using Kinect. In: 2017 19th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC), pp 352–355

  • Cook D, Das SK (2004) Smart environments: technology, protocols and applications. Wiley, Hoboken

    Google Scholar 

  • Cornejo R, Hernández D, Favela J, Tentori M, Ochoa S (2012) Persuading older adults to socialize and exercise through ambient games. In: 2012 6th international conference on pervasive computing technologies for healthcare (PervasiveHealth) and workshops, pp 215–218

  • Courtial E, Palestra G, Rebiai M (2017) A tailored serious game for preventing falls of the elderly. In: International conference on augmented reality, virtual reality and computer graphics. Springer, pp 230–239

  • De Morais WO, Wickström N (2011) A serious computer game to assist Tai Chi training for the elderly. In: 2011 IEEE 1st International Conference on serious games and applications for health (SeGAH). IEEE, pp 1–8

  • de Vette F, Tabak M, Dekker-van Weering M, Vollenbroek-Hutten M (2015) Engaging elderly people in telemedicine through gamification. JMIR Serious Games 3:e9

    Google Scholar 

  • Deacon M, Parsons J, Mathieson S, Davies TC (2018) Can Wii balance? evaluating a stepping game for older adults. IEEE Trans Neural Syst Rehabil Eng 26:1783–1793

    Google Scholar 

  • Dell’Acqua P, Klompstra LV, Jaarsma T, Samini A (2013) An assistive tool for monitoring physical activities in older adults. In: 2013 IEEE 2nd international conference on serious games and applications for health (SeGAH), pp 1–6

  • Deterding S, Dixon D, Khaled R, Nacke L (2011) From game design elements to gamefulness: defining gamification. In: Proceedings of the 15th international academic MindTrek conference: envisioning future media environments. ACM, pp 9–15

  • Deterding S, Sicart M, Nacke L, O’Hara K, Dixon D (2011) Gamification. using game-design elements in non-gaming contexts. In: CHI’11 extended abstracts on human factors in computing systems. ACM, pp 2425–2428

  • Devos P, Jou AM, De Waele G, Petrovic M (2015) Design for personalized mobile health applications for enhanced older people participation. Eur Geriatr Med 6:593–597

    Google Scholar 

  • Dias LPS, Barbosa JLV, Vianna HD (2018) Gamification and serious games in depression care: a systematic mapping study. Telematics Inform 35:213–224

    Google Scholar 

  • Durick J, Robertson T, Brereton M, Vetere F, Nansen B (2013) Dispelling ageing myths in technology design. In: Proceedings of the 25th Australian computer-human interaction conference: augmentation, application, innovation, collaboration. ACM, pp 467–476

  • Fan J, Beuscher L, Newhouse PA, Mion LC, Sarkar N (2016) A robotic coach architecture for multi-user human-robot interaction (RAMU) with the elderly and cognitively impaired. In: 2016 25th IEEE international symposium on robot and human interactive communication (RO-MAN), pp 445–450

  • Ferland F, Agrigoroaie R, Tapus A (2018) Assistive humanoid robots for the elderly with mild cognitive impairment. In: Humanoid robotics: a reference, pp 2377–2396

  • Fernandez-Cervantes V, Neubauer N, Hunter B, Stroulia E, Liu L (2018) VirtualGym: a kinect-based system for seniors exercising at home. Entertain Comput 27:60–72

    Google Scholar 

  • Gamecho B, Silva H, Guerreiro J, Gardeazabal L, Abascal J (2015) A context-aware application to increase elderly users compliance with physical rehabilitation exercises at home via animatronic biofeedback. J Med Syst 39:135

    Google Scholar 

  • Garcia JA, Felix Navarro K (2015) StepKinnection: a fall prevention game mindfully designed for the elderly. Stud Health Technol Inform 214:43–49

    Google Scholar 

  • Geman O, Postolache OA, Chiuchisan I, Prelipceanu M, Ritambhara HDJ (2019) An intelligent assistive tool using exergaming and response surface methodology for patients with brain disorders. IEEE Access 7:21502–21513

    Google Scholar 

  • Gerling KM, Masuch M (2011) Exploring the potential of gamification among frail elderly persons. In: Proceedings of the CHI 2011 workshop gamification: using game design elements in non-game contexts

  • Gerling KM, Schulte FP, Masuch M (2011) Designing and evaluating digital games for frail elderly persons. In: Proceedings of the 8th international conference on advances in computer entertainment technology. ACM, p 62

  • González CS, Gómez N, Navarro V, Cairós M, Quirce C, Toledo P, Marrero-Gordillo N (2016) Learning healthy lifestyles through active videogames, motor games and the gamification of educational activities. Comput Hum Behav 55:529–551

    Google Scholar 

  • Gschwind YJ, Eichberg S, Marston HR, Ejupi A, de Rosario H, Kroll M, Drobics M, Annegarn J, Wieching R, Lord SR, Aal K, Delbaere K (2014) ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial. BMC Geriatr 14:91

    Google Scholar 

  • Hamari J, Koivisto J, Sarsa H (2014) Does gamification work? a literature review of empirical studies on gamification. In: 2014 47th Hawaii international conference on system sciences (HICSS). IEEE, pp 3025–3034

  • Hanada R, Kitakoshi D, Suzuki M (2014) Analysis of a system for dementia prevention based on the concept of human-agent interaction. In: 2014 IEEE international conference on granular computing (GrC), pp 88–93

  • Hansen ST, Rasmussen DM, Bak T (2012) Field study of a physical game for older adults based on an autonomous, mobile robot. In: 2012 international conference on collaboration technologies and systems (CTS), pp 125–130

  • Hermens H, op den Akker H, Tabak M, Wijsman J, Vollenbroek M (2014) Personalized coaching systems to support healthy behavior in people with chronic conditions. J Electromyogr Kinesiol 24:815–826

    Google Scholar 

  • Hofacker CF, De Ruyter K, Lurie NH, Manchanda P, Donaldson J (2016) Gamification and mobile marketing effectiveness. J Interact Mark 34:25–36

    Google Scholar 

  • Hoshino Y, Mitani K (2018) A proposal of a usability scale system for rehabilitation games based on the cognitive therapeutic exercise. Int J Innov Comput Inf Control 14:1189–1205

    Google Scholar 

  • Hsiao K-F, Rashvand HF (2015) Data modeling mobile augmented reality: integrated mind and body rehabilitation. Multimed Tools Appl 74:3543–3560

    Google Scholar 

  • Ijsselsteijn W, Nap HH, de Kort Y, Poels K (2007) Digital game design for elderly users. In: Proceedings of the 2007 conference on future play. ACM, pp 17–22

  • Jirayucharoensak S, Israsena P, Pan-Ngum S, Hemrungrojn S, Maes M (2019) A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment. Clin Interv Aging 14:347–360

    Google Scholar 

  • Kappen DL, Nacke LE, Gerling KM, Tsotsos LE (2016) Design strategies for gamified physical activity applications for older adults. In: 2016 49th Hawaii international conference on system sciences (HICSS), pp 1309–1318

  • Kappen DL, Mirza-Babaei P, Nacke LE (2019) Older adults’ physical activity and exergames: a systematic review. Int J Hum Comput Interact 35:140–167

    Google Scholar 

  • Khosla R, Chu M-T, Nguyen K (2013) Affective robot enabled capacity and quality improvement of nursing home aged care services in Australia. In: 2013 IEEE 37th annual on computer software and applications conference workshops (COMPSACW). IEEE, pp 409–414

  • Kitakoshi D, Hanada R, Iwata K, Suzuki M (2015) Cognitive training system for dementia prevention using memory game based on the concept of human-agent interaction. J Adv Comput Intell Intell Inform 19:727–737

    Google Scholar 

  • Kitakoshi D, Okano T, Suzuki M (2017a) An empirical study on evaluating basic characteristics and adaptability to users of a preventive care system with learning communication robots. Soft Comput 21:331–351

    Google Scholar 

  • Kitakoshi D, Suzuki M, Noguchi S, Suzuki K (2017b) A study on fall-prevention system for older adults with communication robot. In: 2017 international conference on biometrics and kansei engineering (ICBAKE). IEEE, pp 153–157

  • Kitchenham B (2004) Procedures for performing systematic reviews. Keele, UK, Keele Univ 33:1–26

    Google Scholar 

  • Konstantinidis EI, Billis AS, Mouzakidis CA, Zilidou VI, Antoniou PE, Bamidis PD (2016) Design, implementation, and wide pilot deployment of FitForAll: an easy to use exergaming platform improving physical fitness and life quality of senior citizens. IEEE J Biomed Health Inform 20:189–200

    Google Scholar 

  • Konstantinidis EI, Billis AS, Paraskevopoulos IT, Bamidis PD (2017a) The interplay between IoT and serious games towards personalised healthcare. In: 2017 9th international conference on virtual worlds and games for serious applications (VS-Games). pp 249-252

  • Konstantinidis EI, Bamparopoulos G, Bamidis PD (2017b) Moving real exergaming engines on the web: the webfitforall case study in an active and healthy ageing living lab environment. IEEE J Biomed Health Inform 21:859–866

    Google Scholar 

  • Korn O, Schmidt A (2015) Gamification of business processes: re-designing work in production and service industry. Proc Manuf 3:3424–3431

    Google Scholar 

  • Korn O, Buchweitz L, Rees A, Bieber G, Werner C, Hauer K (2019) Using augmented reality and gamification to empower rehabilitation activities and elderly persons a study applying design thinking. In: Ahram TZ (ed) Advances in artificial intelligence, software and systems engineering, vol 787, pp 219–229 (2019)

  • Kostopoulos P, Kyritsis AI, Ricard V, Deriaz M, Konstantas D (2018) Enhance daily live and health of elderly people. Proc Comput Sci 130:967–972

    Google Scholar 

  • Kyriazis M, Kiourti E (2018) Video games and other online activities may improve health in ageing. Front Med 5:8

    Google Scholar 

  • Lange B, Chang C-Y, Suma E, Newman B, Rizzo AS, Bolas M (2011) Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor. In: 2011 annual international conference of the IEEE engineering in medicine and biology society, EMBC. IEEE, pp 1831–1834

  • Lawrence E, Sax C, Navarro KF, Qiao M (2010) Interactive games to improve quality of life for the elderly: towards integration into a WSN monitoring system. In: 2010 second international conference on eHealth, telemedicine, and social medicine, pp 106–112

  • Leutwyler H, Hubbard EM, Vinogradov S, Dowling GA (2012) Videogames to promote physical activity in older adults with schizophrenia. Games Health J 1:381–383

    Google Scholar 

  • Leutwyler H, Hubbard EM, Dowling GA (2014) Adherence to a videogame-based physical activity program for older adults with schizophrenia. Games Health J 3:227–233

    Google Scholar 

  • Li N, Chen W (2017) A mobile game for the social and cognitive well-being of elderly people in China. Stud Health Technol Inform 242:614–621

    Google Scholar 

  • Li J, Louie W-YG, Mohamed S, Despond F, Nejat G (2016) A user-study with tangy the bingo facilitating robot and long-term care residents. In: 2016 IEEE international symposium on robotics and intelligent sensors (IRIS). IEEE, pp 109–115

  • Li JH, Xu XX, Phat PT, Theng YL, Katajapuu N, Luimula M (2017) Exergames designed for older adults: a pilot evaluation on psychosocial well-being. Games Health J 6:371–378

    Google Scholar 

  • Li J, Erdt M, Lee JCB, Vijayakumar H, Robert C, Theng Y (2018) Designing a digital fitness game system for older adults in community settings. In: 2018 international conference on cyberworlds (CW), pp 296–299

  • Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, Clarke M, Devereaux PJ, Kleijnen J, Moher D (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 6:e1000100

    Google Scholar 

  • Lins C, Hein A, Halder L, Gronotte P (2016) Still in flow: long-term usage of an activity motivating app for seniors. In: 2016 IEEE 18th international conference on e-health networking, applications and services (Healthcom), pp 1–4

  • Liu S, Shen Z, McKeown MJ, Leung C, Miao C (2014) A fuzzy logic based parkinson’s disease risk predictor. In: 2014 IEEE international conference on fuzzy systems (FUZZ-IEEE). IEEE, pp 1624–1631

  • Liu L, Stroulia E, Nikolaidis I, Miguel-Cruz A, Rincon AR (2016) Smart homes and home health monitoring technologies for older adults: a systematic review. Int J Med Inform 91:44–59

    Google Scholar 

  • Liu K-Y, Chen S-M, Huang H-L (2017) Development of a game-based cognitive measures system for elderly on the basis of mini-mental state examination. In: 2017 international conference on applied system innovation (ICASI). IEEE, pp 1853–1856

  • Liukkonen TN, Mäkilä T, Ahtosalo H, Heinonen T, Raitoharju R, Pitkäkangas P (2015) Motion tracking exergames for elderly users. IADIS Int J Comput Sci Inf Syst 10(2):52–64

    Google Scholar 

  • Louie W-YG, McColl D, Nejat G (2012) Playing a memory game with a socially assistive robot: A case study at a long-term care facility. In: 2012 IEEE RO-MAN. IEEE, pp 345–350

  • Lu MH, Lin W, Yueh HP (2017) Development and evaluation of a cognitive training game for older people: a design-based approach. Front Psychol 8:1837

    Google Scholar 

  • Lunardini F, Basilico N, Ambrosini E, Essenziale J, Mainetti R, Pedrocchi A, Daniele K, Marcucci M, Mari D, Ferrante S, Borghese NA (2017) Exergaming for balance training, transparent monitoring, and social inclusion of community-dwelling elderly. IEEE

  • Madeira RN, Postolache O, Correia N (2012) Gaming for therapy in a healthcare smart ambient. In: Wichert R, VanLaerhoven K, Gelissen J (eds) Constructuring ambient intelligence, vol 277, pp 224

  • Malwade S, Abdul SS, Uddin M, Nursetyo AA, Fernandez-Luque L, Zhu XK, Cilliers L, Wong C-P, Bamidis P, Li Y-CJ (2018) Mobile and wearable technologies in healthcare for the ageing population. Comput Methods Programs Biomed 161:233–237

    Google Scholar 

  • Manera V, Ben-Sadoun G, Aalbers T, Agopyan H, Askenazy F, Benoit M, Bensamoun D, Bourgeois J, Bredin J, Bremond F (2017) Recommendations for the use of serious games in neurodegenerative disorders: 2016 Delphi Panel. Front Psychol 8:1243

    Google Scholar 

  • Marczewski A (2015) Even ninja monkeys like to play: Gamification, game thinking and motivational design. Gamified (2015)

  • McCallum S (2012) Gamification and serious games for personalized health. Stud Health Technol Inform 177:85–96

    Google Scholar 

  • Meza-Kubo V, Moran AL, Rodriguez MD (2014) Bridging the gap between illiterate older adults and cognitive stimulation technologies through pervasive computing. Univ Access Inf Soc 13:33–44

    Google Scholar 

  • Mishra P, Dham SO (2018) Application of gaming in new media marketing. IGI Global, Pennsylvania

    Google Scholar 

  • Mocanu I, Marian C, Rusu L, Arba R (2016) A Kinect based adaptive exergame. In: 2016 IEEE 12th international conference on intelligent computer communication and processing (ICCP), pp 117–124

  • Mondellini M, Arlati S, Pizzagalli S, Greci L, Sacco M, Ferrigno G (2018) Assessment of the usability of an immersive virtual supermarket for the cognitive rehabilitation of elderly patients: A pilot study on young adults. In: 2018 IEEE 6th international conference on serious games and applications for health (SeGAH). IEEE, pp 1–8

  • Money AG, Atwal A, Boyce E, Gaber S, Windeatt S, Alexandro K (2019) Falls sensei: a serious 3D exploration game to enable the detection of extrinsic home fall hazards for older adults. BMC Med Inform Decis Mak 19:85

    Google Scholar 

  • Mullins JK, Sabherwal R (2018) Gamification: a cognitive-emotional view. J Bus Res 106:304–314

    Google Scholar 

  • Navarro J, Zamudio V, Doctor F, Lino C, Baltazar R, Martinez C, Torres J, Bermudez L, Gutierrez B (2013) Game based monitoring and cognitive therapy for elderly. In: Botia JA, Charitos D (eds) Workshop proceedings of the 9th international conference on intelligent environments, vol 17, pp 116–127

  • Navarro-Barrientos JE, Herfert D, Iwainsky A (2015) Towards ambient intelligent care and assistance systems for patients with dementia. In: Lagunas OP, Alcantara OH, Figueroa GA (eds) Advances in artificial intelligence and its applications, Micai 2015, Pt Ii, vol 9414, pp 297–309

  • O’Connor D, Brennan L, Caulfield B (2018) The use of neuromuscular electrical stimulation (NMES) for managing the complications of ageing related to reduced exercise participation. Maturitas 113:13–20

    Google Scholar 

  • Ofli F, Kurillo G, Obdržálek Š, Bajcsy R, Jimison HB, Pavel M (2016) Design and evaluation of an interactive exercise coaching system for older adults: lessons learned. IEEE J Biomed Health Inform 20:201–212

    Google Scholar 

  • Okano T, Kitakoshi D, Suzuki M (2013) A preliminary study on preventive care system based on game playing with communication robots. In: 2013 Conference on technologies and applications of artificial intelligence. IEEE, pp 84–89

  • Ona ED, Balaguer C, Cano-de la Cuerda R, Collado-Vazquez S, Jardon A (2018) Effectiveness of serious games for leap motion on the functionality of the upper limb in parkinson’s disease: a feasibility study. Comput Intell Neurosci 2018:7148427

    Google Scholar 

  • Organization WH (2017) Rehabilitation in health systems [online] Available: https://www.who.int/rehabilitation/rehabilitation_health_systems/en/

  • Padala KP, Padala PR, Lensing SY, Dennis RA, Bopp MM, Roberson PK, Sullivan DH (2017) Home-based exercise program improves balance and fear of falling in community-dwelling older adults with mild alzheimer’s disease: a pilot study. J Alzheimer’s Disease JAD 59:565–574

    Google Scholar 

  • Paravizo E, Chaim OC, Braatz D, Muschard B, Rozenfeld H (2018) Exploring gamification to support manufacturing education on industry 4.0 as an enabler for innovation and sustainability. Proc Manuf 21:438–445

    Google Scholar 

  • Pisan Y, Marin JG, Navarro KF, Assoc Comp M (2013) Improving lives: using Microsoft Kinect to predict the loss of balance for elderly users under cognitive load. In: Proceedings of the 9th Australasian conference on interactive entertainment: matters of life and death, pp 1–4

  • Proffitt R, Lange B, Chen C, Winstein C (2015) A comparison of older adults’ subjective experiences with virtual and real environments during dynamic balance activities. J Aging Phys Act 23:24–33

    Google Scholar 

  • Rabin B, Burdea G, Hundal J, Roll D, Damiani F (2011) Integrative motor, emotive and cognitive therapy for elderly patients chronic post-stroke a feasibility study of the BrightArm™ rehabilitation system. In: 2011 international conference on virtual rehabilitation (ICVR). IEEE, pp 1–8

  • Rosyid HA, Palmerlee M, Chen K (2018) Deploying learning materials to game content for serious education game development: a case study. Entertain Comput 26:1–9

    Google Scholar 

  • Roupa Z, Nikas M, Gerasimou E, Zafeiri V, Giasyrani L, Kazitori E, Sotiropoulou P (2010) The use of technology by the elderly. Health Sci J 4:118

    Google Scholar 

  • Saenz-de-Urturi Z, Soto BGZ (2016) Kinect-based virtual game for the elderly that detects incorrect body postures in real time. Sensors 16:704

    Google Scholar 

  • Santos A, Guimarães V, Matos N, Cevada J, Ferreira C, Sousa I (2015) Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. In: Proceedings of the 9th international conference on pervasive computing technologies for healthcare. Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), pp 65–71

  • Shake MC, Crandall KJ, Mathews RP, Falls DG, Dispennette AK (2018) Efficacy of Bingocize((R)): a game-centered mobile application to improve physical and cognitive performance in older adults. Games Health J 7:253–261

    Google Scholar 

  • Smaerup M, Gronvall E, Larsen SB, Laessoe U, Henriksen JJ, Damsgaard EM (2017) Exercise gaming: a motivational approach for older adults with vestibular dysfunction. Disabil Rehabil Assist Technol 12:137–144

    Google Scholar 

  • Smith ST, Davies TA, Lennox J (2013) Step training system: an ICT solution to measure and reduce fall risk in older adults. 2013 35th annual international conference of the IEEE engineering in medicine and biology society. IEEE, pp 7033–7035

  • Stokes B (2005) Videogames have changed: time to consider Serious Games’? Dev Educ J 11:12

    Google Scholar 

  • Stutzel MC, Fillipo M, Sztajnberg A, Brittes A, da Motta LB (2016) SMAI-Mobile system for elderly monitoring. In: 2016 IEEE International Conference on serious games and applications for health (SeGAH). IEEE, pp 1–8

  • Sween J, Wallington SF, Sheppard V, Taylor T, Llanos AA, Adams-Campbell LL (2014) The role of exergaming in improving physical activity: a review. J Phys Act Health 11:864–870

    Google Scholar 

  • Thompson C, Mohamed S, Louie WG, He JC, Li J, Nejat G (2017) The robot tangy facilitating trivia games: a team-based user-study with long-term care residents. In: 2017 IEEE international symposium on robotics and intelligent sensors (IRIS), pp 173–178

  • Tondello GF, Wehbe RR, Diamond L, Busch M, Marczewski A, Nacke LE (2016) The gamification user types hexad scale. In: Proceedings of the 2016 annual symposium on computer-human interaction in play. ACM, pp 229–243

  • UN (2017) World population ageing 2017 report [online] Available: https://www.un.org/en/development/desa/population/theme/ageing/WPA2017.asp

  • Van Diest M, Lamoth CJ, Stegenga J, Verkerke GJ, Postema K (2013) Exergaming for balance training of elderly: state of the art and future developments. J Neuroeng Rehabil 10:101

    Google Scholar 

  • Vartholomeos P, Rizou S, Tagaris T, Barelle C, Montesa J, Tsirmpas C, Pantelopoulos S, Vellidou E, Koutsouris D, KINOPTIM system architecture: modules and services for fall prevention through telerehabilitation. In: 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, IEEE pp 135–138 (2014)

  • Vaziri DD, Aal K, Gschwind YJ, Delbaere K, Weibert A, Annegarn J, de Rosario H, Wieching R, Randall D, Wulf V (2017) Analysis of effects and usage indicators for a ICT-based fall prevention system in community dwelling older adults. Int J Hum Comput Stud 106:10–25

    Google Scholar 

  • Villani D, Serino S, Triberti S, Riva G (2017) Ageing positively with digital games. In: Giokas K, Bokor L, Hopfgartner F (eds) Ehealth 360 degree, vol 181, pp 148–155

  • Wallace B, Goubran R, Knoefel F, Petriu M, McAvoy A (2014) Design of games for measurement of cognitive impairment. In: IEEE-EMBS international conference on biomedical and health informatics (BHI). IEEE, pp 117–120

  • Wanick V, Bui H (2019) Gamification in management: a systematic review and research directions. Int J Serious Games 6:57–74

    Google Scholar 

  • Wargnier P, Phuong E, Marivan K, Benveniste S, Bloch F, Reingewirtz S, Kemoun G, Rigaud A-S (2016) Virtual promenade: a new serious game for the rehabilitation of older adults with post-fall syndrome. In: 2016 IEEE international conference on serious games and applications for health (SeGAH). IEEE, pp 1–8

  • Webster D, Celik O (2014) Systematic review of Kinect applications in elderly care and stroke rehabilitation. J Neuroeng Rehabil 11:108

    Google Scholar 

  • Whitehead A, Johnston H, Nixon N, Welch J (2010) Exergame effectiveness: what the numbers can tell us. In: Proceedings of the 5th ACM SIGGRAPH symposium on video games. ACM, pp 55-62

  • Whyatt C, Merriman NA, Young WR, Newell FN, Craig C (2015) A Wii bit of fun: a novel platform to deliver effective balance training to older adults. Games Health J 4:423–433

    Google Scholar 

  • Wittland J, Brauner P, Ziefle M (2015) Serious games for cognitive training in ambient assisted living environments: a technology acceptance perspective. In: Abascal J, Barbosa S, Fetter M, Gross T, Palanque P, Winckler M (eds) Human-computer interaction, Pt I, vol 9296, pp 453–471

  • Yeo SN, Lee TS, Sng WT, Heo MQ, Bautista D, Cheung YB, Zhang HH, Wang CC, Chin ZY, Feng L, Zhou J, Chong MS, Ng TP, Krishnan KR, Guan CT (2018) Effectiveness of a personalized brain-computer interface system for cognitive training in healthy elderly: a randomized controlled trial. J Alzheimers Disease 66:127–138

    Google Scholar 

  • Zichermann G, Cunningham C (2011) Gamification by design: implementing game mechanics in web and mobile apps. O’Reilly Media, Inc., Newton

    Google Scholar 

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Acknowledgements

The work presented in this paper has been developed under the EUREKA - ITEA3 Project PHE (PHE-16040), and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the project UID/EEA/00760/2019 and by NORTE-01-0247-FEDER-033275 (AIRDOC - “Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios de Doentes Obstrutivos Crónicos ”) by NORTE 2020 (Programa Operacional Regional do Norte).

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  1. Research Group On Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    Diogo Martinho, João Carneiro & Goreti Marreiros

  2. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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  1. Diogo Martinho
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Appendix 1

Appendix 1

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Table 12 Quality appraisal results
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Martinho, D., Carneiro, J., Corchado, J.M. et al. A systematic review of gamification techniques applied to elderly care. Artif Intell Rev 53, 4863–4901 (2020). https://doi.org/10.1007/s10462-020-09809-6

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