ABSTRACT
New technology provides opportunities for the transport of vast, bendy interventions with older adults. Twenty first century is penetrating era in our lives like smart home technology Smart home era is innovation to help the old age population in this era. As smart home consists of numerous interactive generations as an answer for aged people Last few years, the adoption of smart home technology has critical subject among research industries. According to previous studies, smart home technology (SHT) have effective outcomes on the old age people. There is no restrict of gender, religion and locality for SHT. The findings of the well-installed studies indicate that there's need to test the belief of old age people approximately the usability of SHT in Pakistan's lifestyle. Many of the preceding studies already conducted but their results had been challenged so there's need to conduct new examine with large pattern and populace.
- Gao, Q., Ebert, D., Chen, X., & Ding, Y. (2015). Design of a mobile social community platform for older Chinese people in urban areas. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(1), 66--89.Google ScholarDigital Library
- Culley, J.M., Herman, J., Smith, D,& Tavakoli, A.(2013). Effects of technology and connectedness on community- dwelling older adults. Online Journal of Nursing Informatics17(3), Retrieved from http://ojni.org/issues/?p=2864Google Scholar
- Rogers, E. M. (1995) Diffusion of Innovations, 4th edn. Free Press, New York.Google Scholar
- Dommes, A., Chevalier, A., & Lia, S. (2011). The role of cognitive flexibility and vocabulary abilities of younger and older users in searching for information on the web. Applied Cognitive Psychology, 25(5), 717--726.Google ScholarCross Ref
- Zhou, J., Rau, P. L. P., & Salvendy, G. (2012). Use and design of handheld computers for older adults: A review and appraisal. International Journal of Human-Computer Interaction, 28(12), 799--826Google ScholarCross Ref
- A. Leeraphong, B. Papasratorn, and V. Chongsuphajaisiddhi, "A study on factors influencing elderly intention to use smart home in Thailand: a pilot study," in The 10th International Conference on e-Business, Bangkok, Thailand, 2015.Google Scholar
- A. Alaiad and L. Zhou, "Patients' behavioral intentions toward using WSN based smart home healthcare systems: an empirical investigation," in 2015 48th Hawaii International Conference on System Sciences, pp. 824--833, Kauai, HI, USA, 2015, IEEE. View at Publisher · View at Google Scholar · View at ScopusGoogle Scholar
- Geraedts H. A. E., Zijlstra W., Zhang W., Bulstra S., Stevens M. (2014). Adherence to and effectiveness of an individually tailored home-based exercise program for frail older adults, driven by mobility monitoring: design of a prospective cohort study. BMC Public Health 14:570. 10.1186/1471-2458-14-570Google ScholarCross Ref
- EleftheriaVaportzis, MariaGiatsiClausen and Alan J.Gow "Older Adults Perceptions of Technology and Barriers to Interacting with Tablet Computers: A Focus Group Study" Human-Media Interaction, a section of the journal Frontiers in Psychology 04 October 2017Google Scholar
- Li, Q., & Luximon, Y. (2018). Understanding older adults' post-adoption usage behavior and perceptions of mobile technology. International Journal of Design, 12(3), 93--110.Google Scholar
- https://www.iotevolutionworld.com/m2m/articles/376816-history-smart-homes.htm retrived on 5 may 2019Google Scholar
- Sofianiza Abd MalMuna Azuddin, "The Use of Technology by Older People "2013 International Journal Of Interactive Digital Media, Vol. 1(3), ISSN 2289-4098, e-ISSN 2289-4101Google Scholar
- T. J. Morrison, and A. Barnett, "Older people, technology and community the potential of technology to help older people renew or develop social contacts and to actively engage in their communities" Calouste Gulbenkian Foundation, Technical Report, 2011.Google Scholar
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425--478.Google ScholarDigital Library
- R. Hill, A. Dickinson, J. Arnott, P. Gregor, and L. McIver, "Older Web Users' Eye Movements: Experience Counts", in Proceeding CHI '11 Proceedings of the 2011 annual conference on Human factors in computing systems, pp. 1151--1160, 2011.Google ScholarDigital Library
- Barnard, Y., Bradley, M. D., Hodgson, F., & Lloyd, A. D. (2013). Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability. Computers in Human Behavior, 29(4), 1715--1724.Google ScholarDigital Library
- U.S. Census Bureau (2011). The older population: 2010. Census Briefs 2010, 1--19. Retrieved from http://www.census.gov/prod/cen2010/briefs/c2010br-09.pdfGoogle Scholar
- Olson, K. E., O'Brien, M. A., Rogers, W. A., & Charness, N. (2011). Diffusion of technology: Frequency of use for younger and older adults. Ageing International, 36, 123--145. doi: 10.1007/s12126-010-9077-9Google ScholarCross Ref
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319--337. doi:10.2307/249008Google ScholarDigital Library
- Arning, K., & Ziefle, M. (2009). Different perspectives on technology acceptance: The role of technology type and age. Lecture Notes in Computer Science, 5889/2009, 20--41. doi: 10.1007/978-3-642-10308-7_2Google ScholarDigital Library
- Rogers, E. M. (2003). Diffusion of innovations. New York, NY: Free Press.Google Scholar
- Chen, K.&Chan, A.H.S.(2014).Gerontechnologyacceptance by elderly Hong Kong Chinese: A senior technology acceptance model (STAM). Ergonomics, 57(5), 635--652.Google ScholarCross Ref
- Birnholtz, J. (2010). Adopt, adapt, abandon: Understanding why some young adults start, and then stop, using instant messaging. Computers in Human Behavior, 26(6), 1427--1433.Google ScholarDigital Library
- Albertin, L. A., & Albertin, R. M. M. (2005). Tecnologia de Informação -- Desafios da tecnologia de informac ¸ão aplicada aos negócios. São Paulo: Atlas.Google Scholar
- Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (CREATE). Psychology and Aging, 21(2), 333--352Google ScholarCross Ref
- Perceived Value and Technology Adoption Across Four End User GroupsGoogle Scholar
- C. Reinisch, M. J. Kofler, and W. Kastner, "ThinkHome: a smart home as digital ecosystem," in 4th IEEE International Conference on Digital Ecosystems and Technologies, pp. 256--261, Dubai, UAE, 2010, IEEE.Google Scholar
- T. Koskela and K. Väänänen-Vainio-Mattila, "Evolution towards smart home environments: empirical evaluation of three user interfaces," Personal and Ubiquitous Computing, vol. 8, no. 3-4, pp. 234--240, 2004.Google Scholar
- Heetae Yang, Wonji Lee, and Hwansoo Lee "IoT Smart Home Adoption: The Importance of Proper Level Automation" Journal of Sensors Volume 2018Google Scholar
- Drag, L. L., & Bieliauskas, L. A. (2010). Contemporary review 2009: Cognitive aging. Journal of Geriatric Psychiatry and Neurology, 23(2), 75--93.Google ScholarCross Ref
- Borson, S., Scanlan, J., Brush, M., Vitaliano, P., & Dokmak, A. (2000). The mini-cog: A cognitive 'vital signs' measure for dementia screening in multi-lingual elderly. International Journal of Geriatric Psychiatry, 15(11), 1021--1027.Google ScholarCross Ref
- Agrell, B., & Dehlin, O. (1998). The clock-drawing test. Age and Ageing, 27(3), 399--404.Google ScholarCross Ref
- Benedict, R. H., Smerbeck, A., Parikh, R., Rodgers, J., Cadavid, D., & Erlanger, D. (2012). Reliability and equivalence of alternate forms for the symbol digit modalities test: Implications for multiple sclerosis clinical trials. Multiple Sclerosis Journal, 18(9), 1320--1325.Google ScholarCross Ref
- Zaphiris, P., Kurniawan, S., & Ghiawadwala, M. (2007). A systematic approach to the development of research-based web design guidelines for older people. Universal Access in the Information Society, 6(1), 59--75.Google ScholarDigital Library
- Peek, S. T., Wouters, E. J., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. (2014). Factors influencing acceptance of technology for aging in place: A systematic review. International Journal of Medical Informatics, 83(4), 235--248.Google ScholarCross Ref
Index Terms
- Aging Population Perception and Post Adoption Behavior About the Usability of Smart Home Technology of Pakistani Culture
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