Gerontechnology Ranking Using the TOPSIS Methods

• Autorzy: Katarzyna Halicka , Arkadiusz Gola
• Języki publikacji: EN

Abstrakty

EN

Population ageing is a major challenge affecting the future of science and technology policy and governance in industrialised societies. In this context, a key element is ensuring adequate protection, safety and care for older people when needed. The solution to enable active and healthy ageing is innovative technologies called gerontechnologies, which support older people. However, there is a knowledge gap regarding the systematic analysis and evaluation of gerontechnologies, which requires research in theoretical and empirical aspects. There is a need to focus on developing and supporting gerontechnologies to help older people reach their full potential in different spheres of life. Research should focus on analysing these technologies, their effectiveness and their impact on the quality of life of older people. This paper evaluates, analyses and builds a ranking of several selected technologies: (1) the wheelchair based on artificial intelligence Wheelie7, (2) the humanoid Rudy Robot, and (3) the wristband/watch VitalBand. The research was conducted in Poland. Based on a literature review, the authors identified relevant technologies to improve the quality of life of older people. These technologies were then assessed by people over 40 against various criteria. This age group was chosen because the issues of gerontechnology concern these people now in the context of their parents using the technology and being potential users of gerontechnology in 20-30 years. The study answered the following research questions: (1) What are the criteria for evaluating technologies that enhance the quality of life for older individuals? (2) How were the selected gerontechnologies evaluated? (3) How should the TOPSIS method be applied to build a ranking of gerontechnologies? (4) Which of the selected gerontechnologies was rated the highest by potential users? (original abstract)

Słowa kluczowe

EN

Technology; Management; Ageing of the population; Elderly people; Multiple-criteria decision making; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

PL

Technologia; Zarządzanie; Starzenie się społeczeństw; Ludzie starsi; Wielokryterialne podejmowanie decyzji; Metoda TOPSIS

• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2024
• Numer: nr 1
• Strony: 93--103

Twórcy

autor

Katarzyna Halicka

• Bialystok University of Technology

autor

Arkadiusz Gola

• Lublin University of Technology

Bibliografia

• Abdi, S., Witte, L. d., & Hawley, M. (2021). Exploring the Potential of Emerging Technologies to Meet the Care and Support Needs of Older People: A Delphi Survey. Geriatrics, 6(1), 1-17. doi.org/10.3390/geriatrics6010019
• Arthanat, S., Wilcox, J., & Macuch, M. (2019). Profiles and predictors of smart home technology adoption by older adults. OTJR: Occupational Therapy Journal of Research, 39(4), 247-256.
• Asghar, I., Cang, S., & Yu, H. (2017). Assistive technology for people with dementia: An overview and bibliometric study. Health Information & Libraries Journal, 34(1). doi: 10.1111/hir.12173
• Astasio-Picado, Á., Cobos-Moreno, P., Gómez-Martín, B., Verdú-Garcés, L., & Zabala-Baños, M. C. (2022). Efficacy of Interventions Based on the Use of Information and Communication Technologies for the Promotion of Active Aging. International Journal of Environmental Research and Public Health, 19(3), 1534. doi: 10.3390/ijerph19031534
• Behzadian, M., Otaghsara, S.K., Yazdan, M., & Ignatius, J. (2012). A state-of the art survey of TOPSIS applications. Expert Systems with Applications, 39, 13051-13069. doi: 10.1016/j.eswa.2012.05.056
• Bevilacqua, R., Casaccia, S., Cortellessa, G., Astell, A., Lattanzio, F., Corsonello, A., D'ascoli, P., Paolini, S., DiRosa, M., Rossi, L., & Maranesi, E. (2020). Coaching through technology: a systematic review into efficacy and effectiveness for the ageing population. International Journal of Environmental Research and Public Health, 17(16), 1-14.
• Bouma, H. (1992). Gerontechnology - making technology relevant for the elderly. Gerontechnology, 3, 1-5.
• Chan, M., Esteve, D., Escriba, C., & Campo E. (2008). A review of smart homes-Present state and future challenges. Computer Methods and Programs in Biomedicine, 91(1), 55-81. doi: 10.1016/j.cmpb.2008.02.001
• Chaparro, E.B.M., Muñoz-Arteaga, J., Muñoz Zavala, Á.E., Reyes, H.C., Condori, K.O.V. (2023). Mixed Reality Ecosystem Architecture to Support Visuoconstructive Ability in Older Adults. Revista Iberoamericana de Tecnologias del Aprendizaje, 18(2), 182-189. doi: 10.1109/RITA.2023.3259986
• Chen, K., & Chan, A.H.S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: a senior technology acceptance model (STAM). Ergonomics, 57(5), 635-652.
• Cohen, C., Kampel, T., & Verloo, H. (2016). Acceptability of an intelligent wireless sensor system for the rapid detection of health issues: findings among home-dwelling older adults and their informal caregivers. Patient Preference and Adherence, 10, 1687-1695.
• Cohen, C., Kampel, T., & Verloo, H. (2017). Acceptability among community healthcare nurses of intelligent wireless sensor-system technology for the rapid detection of health issues in home-dwelling older adults. The Open Noursing Journal, 11(1), 54-63.
• Cook, M.D., Sandu, A.K., & Joyce, J.P. (2020). Effect of New Zealand blackcurrant on blood pressure, cognitive function and functional performance in older adults. Journal of Nutrition in Gerontechnology and Geriatrics, 32(2), 99-113.
• Delbreil, E., & Zvobgo, G. (2013). Wireless sensor technology in dementia care: caregiver perceptions, technology take-up and business model innovation. EuroMed Journal of Business, 8(1), 79-97.
• Ejdys, J. (2018). Building technology trust in ICT application at a University. International Journal of Emerging Markets, 13(5), 980-997. doi: 10.1108/IJoEM-07-2017-0234
• Ejdys, J., & Gulc, A. (2022). Factors influencing the intention to use assistive technologies by older adults. Human Technology, 18(1), 6-28. doi: 10.14254/1795-6889.2022.18-1.2
• Ejdys, J., & Halicka, K. (2018). Sustainable Adaptation of New Technology - The Case of Humanoids Used for the Care of Older Adults. Sustainability, 10(10), 3770. doi: 10.3390/su10103770
• EUROSTAT. (2023). Demography 2023 edition. Interactive publications. Retrieved from https://ec.europa.eu/eurostat/web/interactive-publications/demography-2023
• Ezhilarasan, N., & Vijayalakshmi, C. (2020). Optimization of Fuzzy programming with TOPSIS Algorithm. Procedia Computer Science, 172, 473-479. doi: 10.1016/j. procs.2020.05.144
• Forkan, A.R.M., Branch, P., Jayaraman, P.P., & Ferretto, A. (2019). HalleyAssist: A personalised internet of things technology to assist the elderly in daily living. Proceedings of the Annual Hawaii International Conference on System Sciences, 4194-4203. doi: 10.24251/HICSS.2019.507
• Gasteiger, N., Ahn, H.S., Gasteiger, C., Lee, C., Lim, J., Fok C., MacDonald, B.A., Kim, G.H., & Broadbent, E. (2021). Robot-Delivered Cognitive Stimulation Games for Older Adults: Usability and Acceptability Evaluation, ACM Transactions on Human-Robot Interaction, 10(4), 3451882. doi: 10.1145/3451882
• Graafmans, J.A.M., Taipale, V., & Charness, N. (1998). Gerontechnology: A Sustainable Investment in the Future. Studies in Health Technology and Informatics, 48, 3-6.
• Gullà, F., Ceccacci, S., Germani, M., & Cavalieri, L. (2015). Design adaptable and adaptive user interfaces: a method to manage the information. Biosystems & Biorobotics, 11, 47-58.
• Halicka, K. (2020). Technology selection using the TOPSIS method. Foresight and STI Governance, 14(1), 85-96. doi: 10.17323/2500-2597.2020.1.85.96
• Halicka, K., & Kacprzak, D. (2021). Linear ordering of selected gerontechnologies using selected MC- GDM methods. Technological and Economic Development of Economy, 27(4), 921-947. doi: 10.3846/tede.2021.15000
• Halicka, K., & Surel, D. (2021). Gerontechnology - new opportunities in the service of older adults. Engineering Management in Production and Services, 13(3), 114-126. doi: 10.2478/emj-2021-0025
• Hasnain, S., Ali, M.K., Akhter, J., & Abbas, N. (2020). Selection of an industrial boiler for a soda-ash production plant using analytical hierarchy process and TOPSIS approaches. Case Studies in Thermal Engineering, 19, 8. doi: 10.1016/j.csite.2020.100636
• Henny, V.E., Collins, S.C., & Platts, R. (1992). Gerontechnology in practice - a framework for the development of assistive technology for elderly persons. Gerontechnology, 3, 435-437.
• Hopwood, J., Walker, N., McDonagh, L., Rait, G., Walters, K., Iliffe, S., Ross, J., & Davies, N. (2018). Internet-based interventions aimed at supporting family care-givers of people with dementia: Systematic review. Journal of Medical Internet Research, 20(6), e216.
• Huang, G., & Oteng, S.A. (2023). Gerontechnology for better elderly care and life quality: a systematic literature review. European Journal of Ageing, 20(1), 27. doi: 10.1007/s10433-023-00776-9
• Huang, H., Chen, Z., Cao, S., Xiao, M., Xie, L., & Zhao, Q. (2021). Adoption intention and factors influencing the use of gerontechnology in Chinese community-dwelling older adults: a mixed-methods study. Frontiers in Public Health, 9, 1-12.
• Hwang, C.L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey. Verlag, Berlin: Springer.
• Jarvis, M.A., Sartorius, B., & Chipps, J. (2020). Technology acceptance of older persons living in residential care. Information Development, 36(3), 339-353.
• Kacprzak, D. (2019). A doubly extended TOPSIS method for group decision making based on ordered fuzzy numbers. Expert Systems with Applications, 116, 243-254. doi: 10.1016/j.eswa.2018.09.023
• Kacprzak, D. (2020). An extended TOPSIS method based on ordered fuzzy numbers for group decision making. Artificial Intelligence Review, 53(3), 2099-2129. doi: 10.1007/s10462-019-09728-1
• Kozlowska, J. (2022). Methods of multi-criteria analysis in technology selection and technology assessment: a systematic literature review. Engineering Management in Production and Services, 14(2), 116-137. doi: 10.2478/emj-2022-002
• Kwon, S. (2017). Research, Practice, and Principles in the Field of Technology and Aging. New York: Springer Publishing Company.
• Lotfi F.H., & Fallahnejad, R. (2010). Imprecise Shannon's Entropy and Multi Attribute Decision Making. Entropy, 12(1), 53-62. doi: 10.3390/e12010053
• Maia, J.C., Diniz, J.L., de Sousa, C.R., Oliveira, F.G.L., Evangelista, B.P., Coutinho, J.F.V., Marques, M.B., & Barbosa, R.G.B. (2023). Interactive gerontechnology for fall prevention in the elderly: a descriptive study. Revista Brasileira de Enfermagem, 76(2), e20220739. doi: 10.1590/0034-7167-2022-0739
• McHugh, J.E., & Lawlor, B.A. (2012). Exercise and social support are associated with psychological distress outcomes in a population of community-dwelling older adults. Journal of Health Psychology, 17(6), 833-844.
• Menghi, R., Ceccacci, S., Gullà, F., Cavalieri, L., Germani, M., & Bevilacqua, R. (2017). How older people who have never used touchscreen technology interact with a tablet. Lecture Notes in Computer Science, 10513, 117-131.
• Nowak, P.M., Koscielniak, P., Tobiszewski, M., Ballester-Caudet, A., & Campíns-Falcó, P. (2020). Overview of the three multicriteria approaches applied to a global assessment of analytical methods. TrAC Trends in Analytical Chemistry, 133, 116065. doi: 10.1016/j.trac.2020.116065
• Ollevier, A., Aguiar, G., Palomino, M., & Simpelaere, I.S. (2020). How can technology support ageing in place in healthy older adults? A systematic review. Public Health Review, 41(1), 1-12.
• Ozkaya, G., & Erdin, C. (2020). Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique. Heliyon, 6(1), e05052. doi: 10.1016/j.heliyon.2020.e05052
• Pak, R., & Collins McLaughlin, A. (2018). Aging, Technology and Health. Academic Press. doi: 10.1016/C2015-0-06164-0
• Pawanr, S., Garg, G.K., & Routroy, S. (2019). Multi-objective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS. Procedia CIRP, 86, 116-120. doi: 10.1016/j.procir.2020.01.036
• Peek, S.T.M., Luijkx, K.G., Rijnaard, M.D., Nieboer, M.E., Van DerVoort, C.S., Aarts, S., VanHoof, J., Vrijhoef, H.J.M., & Wouters, E.J.M. (2016). Older adults' reasons for using technology while aging in place. Gerontology, 62(2), 226-237.
• Portet, F., Vacher, M., Golanski, C., Roux, C., & Meillon, B. (2013). Design and evaluation of a smart home voice interface for the elderly: acceptability and objection aspects. Personal and Ubiquitous Computing, 17(1), 127-144.
• Reitsma, A., Spil, T., & DeVries, S. (2019). Using laddering to understand the use of gamified wearables by seniors. Communications in Computer and Information Science, 1219, 92-103.
• Robinson, E.L., Park, G., Lane, K., Skubic, M., & Rantz, M. (2020). Technology for healthy independent living: creating a tailored in-home sensor system for older adults and family caregivers. Journal of Gerontechnological Nursing, 176(46(7)), 35-40.
• Scott, P.A., Harvey, C., Felzmann, H., Suhonen, R., Habermann, M., Halvorsen, K., Christiansen, K., Toffoli, L., & Papastavrou, E. (2019). On behalf of the RANCARE Consortium COST - CA 15208 Resource allocation and rationing in nursing care: a discussion paper. Nursing Ethics, 26(5), 1528-1539. doi: 10.1177/0969733018759831
• Seifert, A., & Schelling, H.R. (2018). Attitudes toward aging and retirement homes before and after entry into a retirement home. Journal of Housing for the Elderly, 32(1), 12-25. doi: 10.1080/02763893.2017.1393484
• Shekhovtsov, A., & Kołodziejczyk, J. (2020). Do distance-based multi-criteria decision analysis methods create similar rankings? Procedia Computer Science, 176, 3718-3729. doi: 10.1016/j.procs.2020.09.015
• Sixsmith, J., & Sixmith, A. (1992). The social-psychological context of gerontechnology. Gerontechnology, 3, 439-441.
• Varatharajulua, M., Duraiselvama, M., Bhuvanesh Kumar, M., Jayaprakash, G., & Baskarc, N. (2022). Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91. Journal of Magnesium and Alloys, 9(10). doi: 10.1016/j.jma.2021.05.006
• Vermijs, P., & Vanbeurden, L. (1992). Gerontechnology assessment - an introduction to educational programs. Gerontechnology, 3, 425-430.
• Wang, T.C., & Chang, T.H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870-880. doi: 10.1016/j.eswa.2006.07.003
• Watrobski, J., Karczmarczyk, A., & Rymaszewski, S. (2020). Multi-criteria decision making approach to production line optimization. Procedia Computer Science, 176, 3825-3830. doi: 10.1016/j.procs.2020.09.005
• Wieckowski, J., & Salabun, W. (2020). How to handling with uncertain data in the TOPSIS technique? Procedia Computer Science, 176, 2233-2242. doi: 10.1016/j.procs.2020.09.260
• Wilson, G., Gates, J.R., Vijaykumar, S., & Morgan, D.J. (2021). Understanding older adults' use of social technology and the factors influencing use. Ageing & Society, 43(1), 222-245.
• Wu, X., Freeman, S., Miyagi, M., Park, U., Nomura, K., & Ebihara, S. (2023). Comprehensive Geriatric Assessment in the era of telemedicine. Geriatrics and Gerontology International. doi: 10.1111/ggi.14705
• Wu, Y.H., Damnée, S., Kerhervé, H., Ware, C., & Rigaud, A.S. (2015) Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies. Clinical Interventions in Aging, 10, 193-201.
• Ye, F., & Li, Y.N. (2009). Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information. Expert Systems with Applications, 36, 9350-9357. doi: 10.1016/j.eswa.2009.01.015
• Yue, Z. (2014). TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting. Information Sciences, 277(1), 141-153. doi: 10.1016/j.ins.2014.02.01
• Yusif, S., Soar, J., & Hafeez-Baig, A. (2016). Older people, assistive technologies, and the barriers to adoption: a systematic review. International Journal of Medical Informatics, 94, 112-116.

Identyfikatory

DOI

https://doi.org/10.2478/emj-2024-0007