[
Blok M., van Ingen E., de Boer A.H., Slootman M. (2020). The use of information and communication technologies by older people with cognitive impairments: from barriers to benefits, Comput. Hum. Behav. 104 106173.
]Search in Google Scholar
[
Braun M.T. (2013). Obstacles to social networking website use among older adults, Comput. Hum. Behav. 29 (3) 673–680.
]Search in Google Scholar
[
Chen K., Chan A.H. (2014). Predictors of gerontechnology acceptance by older Hong Kong Chinese, Technovation 34 (2) 126–135.
]Search in Google Scholar
[
Chen K., Lou V.W.Q., Lo S.S.C. (2021). Exploring the acceptance of tablets usage for cognitive training among older people with cognitive impairments: a mixed-methods study, Appl. Ergon. 93 103381.
]Search in Google Scholar
[
Craik F.I. (1994). Memory changes in normal aging, Curr. Dir. Psychol. Sci. 3 (5) 155–158.
]Search in 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), Psychol. Aging 21 (2) 333.
]Search in Google Scholar
[
Deng Z., Mo X., Liu S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China, Int. J. Med. Inf. 83 (3) 210–224.
]Search in Google Scholar
[
Ekeland A.G., Bowes A., Flottorp S. (2010). Effectiveness of telemedicine: a systematic review of reviews, Int. J. Med. Inf. 79 (11) 736–771.
]Search in Google Scholar
[
Ellis M.E., Downey J.P., Chen A.N., Lu H.K. (2021). Why Taiwanese seniors use technology, Asia Pac. Manag. Rev. 26 (3) 149–159.
]Search in Google Scholar
[
Ferguson, H.J., Brunsdon, V. E. A., Bradford, E. E. F. (2021). The developmental trajectories of executive functions from adolescence to old age. Scientific reports, 2021-01, Vol.11 (1), p.1382-1382,
]Search in Google Scholar
[
Kuoppamäki S.M., Taipale S., Wilska T.A. (2017). The use of mobile technology for online shopping and entertainment among older adults in Finland, Telematics Inf. 34 (4) 110–117.
]Search in Google Scholar
[
Li, Q. Ma, A.H., Chan, S.S. (2019). Health monitoring through wearable technologies for older adults: smart wearables acceptance model, Appl. Ergon. 75 162–169.
]Search in Google Scholar
[
Lian J.W., Yen D.C. (2014). Online shopping drivers and barriers for older adults: age and gender differences, Comput. Hum. Behav. 37 133–143.
]Search in Google Scholar
[
Ma Q., Chan A.H., Chen K. (2016). Personal and other factors affecting acceptance of smartphone technology by older Chinese adults, Appl. Ergon. 54 62–71.
]Search in Google Scholar
[
Nikou S., Agahari W., Keijzer-Broers W., de Reuver M. (2020). Digital healthcare technology adoption by elderly people: a capability approach model, Telematics Inf. 53 101315.
]Search in Google Scholar
[
Pan S., Jordan-Marsh M. (2010). Internet use intention and adoption among Chinese older adults: from the expanded technology acceptance model perspective, Comput. Hum.Behav. 26 (5) 1111–1119.
]Search in Google Scholar
[
Salthouse, T. A.(1996). The Processing-Speed Theory of Adult Age Differences in Cognition. Psychological review, 1996-07, Vol.103 (3), p.403-428
]Search in Google Scholar
[
Scheibe, S., Blanchard-Fields, F. (2009). Effects of Regulating Emotions on Cognitive Performance: What Is Costly for Young Adults Is Not So Costly for Older Adults. Psychology and aging, 2009-03, Vol.24 (1), p.217-223
]Search in Google Scholar
[
Schieber F. (2003). Human factors and aging: identifying and compensating for age- related deficits in sensory and cognitive function, in: N. Charness, K.W. Schaie (Eds.), Impact of Technology on Successful Aging, Springer, New York, pp. 42–84.
]Search in Google Scholar
[
Shirahada K., Ho B.Q., Wilson A. (2019), Online public services usage and the elderly: assessing determinants of technology readiness in Japan and the UK, Technol. Soc. 58 101115.
]Search in Google Scholar
[
Small S.A., Stern Y., Tang M., Mayeux R. (1999). Selective decline in memory function among healthy elderly. Neurology, 52:1392-1396.
]Search in Google Scholar
[
Yakhno, N N., Zakharov, V V., Lokshina, A B. (2007). Impairment of memory and attention in the elderly. Neuroscience and behavioral physiology, 2007-03, Vol.37 (3), p.203-208
]Search in Google Scholar
[
Yap, Y.-Y., Tan, S., Choon, S. (2022). Elderly’s intention to use technologies: A systematic literature review. Heliyon. 8. e08765, DOI: 10.1016/j.heliyon.2022.e08765
]Search in Google Scholar
[
Yin, S., Zhu, X., Li, J., Ren, W., Huo, L.(2017). Positive emotion boosts memory training effects: a randomized controlled trial. Innovation in aging, 2017-07, Vol.1 (suppl_1), p.153-153
]Search in Google Scholar
[
Zhou M., Zhao L., Kong N., Campy K.S., Qu S., Wang S. (2019). Factors influencing behavior intentions to telehealth by Chinese elderly: an extended TAM model, Int.J. Med. Inf. 126 118–127.
]Search in Google Scholar
