Predicting technology adoption in people with dementia; initial results from the taut project

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8868, Issue , 2014, Pages 266-274

  Cleland, Ian ^a   Nugent, Chris D ^a   McClean, Sally I ^a   Hartin, Phillip J ^a   Sanders, Chelsea ^b   Donnelly, Mark ^a   Zhang, Shuai ^a   Scotney, Bryan ^a   Smith, Ken ^c   Norton, Maria C ^b   Tschanz, Joann T ^b  

^a UNIVERSITY OF ULSTER   (United Kingdom)

^b UTAH STATE UNIVERSITY   (United States)

^c UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Assistive technology; Dementia; Reminding Technology; Technology adoption

Indexed keywords

ASSISTED LIVING; FORECASTING; MHEALTH; NEURODEGENERATIVE DISEASES; BEHAVIORAL RESEARCH;

ACCEPTANCE OF TECHNOLOGIES; ASSISTIVE TECHNOLOGY; COGNITIVE ASSESSMENTS; DEMENTIA; PHYSICAL PARAMETERS; TECHNOLOGY ADOPTION; TECHNOLOGY SOLUTIONS; UTAH POPULATION DATABASE;

BEHAVIORAL RESEARCH; CELLULAR TELEPHONE SYSTEMS;

EID: 84937192302     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13105-4_39     Document Type: Article

References (15)

1. Kane, M., Cook, L.: Dementia 2013: The hidden voice of loneliness. Alzheimer’s Society, London (2013)
2. Chuttur, M.: Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Sprouts: Working Papers on Information Systems 9, Article 37 (2009)
3. Wilkowska, W., Gaul, S., Ziefle, M.: A Small but Significant Difference – The Role of Gender on Acceptance of Medical Assistive Technologies. In: Leitner, G., Hitz, M., Holzinger, A. (eds.) USAB 2010. LNCS, vol. 6389, pp. 82–100. Springer, Heidelberg (2010)
4. Day, H., Jutai, J.: Measuring the Psychosocial Impact of Assistive Devices: the PIADS. Canadian Journal of Rehabilitation 9(2), 159–168 (1996)
5. Yen, D.C., Wu, C., Cheng, F., Huang, Y.: Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Comput. Hum. Behav. 26, 906–915 (2010)
6. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science 35(8), 982–1003 (1989)
7. Kowalewski, S., Wilkowska, W., Ziefle, M.: Accounting for User Diversity in the Acceptance of Medical Assistive Technologies. In: Szomszor, M., Kostkova, P. (eds.) e-Health. LNICST, vol. 69, pp. 175–183. Springer, Heidelberg (2011)
8. Scherer, M.J., Jutai, J., Fuhrer, M., Demers, L., Deruyter, F.: A framework for modelling the selection of assistive technology devices (ATDs). Disab. & Rehab.: Assis. Tech. 2, 1–8 (2007)
9. Stronge, A.J., Rogers, W.A., Fisk, A.D.J.: Human factors considerations in implementing telemedicine systems to accommodate older adults. Telemed Telecare 13, 1–3 (2007)
10. Ziefle, M.: Age perspectives on the usefulness on e-health applications. In: International Conference on Health Care Systems, Ergonomics, and Patient Safety (HEPS), Straßbourg, France (2008)
11. Arning, K., Ziefle, M.: Different Perspectives on Technology Acceptance: The Role of Technology Type and Age. In: Holzinger, A., Miesenberger, K. (eds.) USAB 2009. LNCS, vol. 5889, pp. 20–41. Springer, Heidelberg (2009)
12. Cartwright, M., Hirani, S.P., Rixon, L., Beynon, M., Doll, H., Bower, P., et al.: Effect of telehealth on quality of life and psychological outcomes over 12 months (Whole Systems Demonstrator telehealth questionnaire study): nested study of patient reported outcomes in a pragmatic, cluster randomized controlled trial. BMJ 346, 653 (2013)
13. Zhang, S., McClean, S.I., Nugent, C.D., et al.: A predictive model for assistive technology adoption for people with dementia. IEEE Journal of Biomedical and Health Informatics 18(1), 375 (2014)
14. O’Neill, S.A., Parente, G., Donnelly, et al.: Assessing task compliance following mobile phone-based video reminders. In: Proceedings of the IEEE EMBC 2011, pp. 5295–5298 (2011)
15. Hartin, P.J., Nugent, C.D., McClean, S.I., et al.: A smartphone application to evaluate technology adoption and usage in persons with dementia. In: 2014 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Chicago, pp. 5389–5392 (2014)