or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
Dr Priyanka Chaurasia,
Prof Michaela Black,
Dr Pratheepan Yogarajah
Monday, February 24, 2025
Competition Funded PhD Project (Students Worldwide)
Londonderry
United Kingdom
Artificial Intelligence
Health Informatics
Human Computer Interaction
Computer Science
About the Project
A range of health impairments is more common in the ageing population, which imbalances their health and well-being. As a result, strategies that promote better brain health and well-being in older age are an urgent public health priority. Assistive technologies have been identified as a potential solution for the provision of elderly care. The stay of these older adults at home can be prolonged and made comfortable with the aid of Artificial Intelligence (AI)-based assistive technologies and remote monitoring. Such technologies, in general, can enhance the quality of life and fill in the gap between caregiving and healthy ageing. However, the potential of these technologies is yet to be utilised by the ageing population due to a lack of acceptance, usability, and trust.
Technophobia is a barrier to adoption. Most of the earlier studies have described people’s behaviour in general towards technology. However, the reasons for adoption failure in older adults have not been looked at in detail. In this context, building trust in older adults for ATs requires looking into factors that affect their continued engagement. Older adults can be enthusiastically involved in utilising and co-creating ATs that incorporate their actual requirements and needs. The proposed project aims to build trust towards AI-based assistive technologies and provide healthy living for the ageing population. The objective is to integrate assistive technologies, data analysis and modelling, remote monitoring, data security, and ethics to deliver a trusted application aimed towards healthy ageing. The project will also investigate how securely the data is retrieved and stored over the cloud from each of these devices. The devices will be analysed for reliability in providing the desired information, the kind of security concern with each type of monitoring and how it can be addressed.
References
[1] Kenigsberg, P. A., Aquino, J. P., Bérard, A., Brémond, F., Charras, K., Dening, T., ... & Manera, V. (2019). Assistive technologies to address capabilities of people with dementia: from research to practice. Dementia, 18(4), 1568-1595.
[2] Chaurasia, P., McClean, S., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2022). Modelling mobile-based technology adoption among people with dementia. Personal and Ubiquitous Computing, 26(2), 365-384.
[3] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016). Modelling assistive technology adoption for people with dementia. Journal of biomedical informatics, 63, 235-248.
[4] Knowles, B., & Hanson, V. L. (2018). Older adults’ deployment of ‘distrust’. ACM Transactions on Computer-Human Interaction (TOCHI), 25(4), 1-25.
[5] Boyle, L. D., Husebo, B. S., & Vislapuu, M. (2022). Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature. BMC Health Services Research, 22(1), 1573.
[6] Soar, J., Yu, L., & Al-Hakim, L. (2020). Older people’s needs and opportunities for assistive technologies. In The Impact of Digital Technologies on Public Health in Developed and Developing Countries: 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings 18 (pp. 404-414). Springer International Publishing.
[7] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016, August). Technology adoption and prediction tools for everyday technologies aimed at people with dementia. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4407-4410). IEEE.
[8] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016). Impact of medical history on technology adoption in Utah Population Database. In Ubiquitous Computing and Ambient Intelligence: 10th International Conference, UCAmI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29–December 2, 2016, Part II 10 (pp. 98-103). Springer International Publishing.
[9] McCann, A., McNulty, H., Rigby, J., Hughes, C. F., Hoey, L., Molloy, A. M., ... & Moore, A. (2018). Effect of area‐level socioeconomic deprivation on risk of cognitive dysfunction in older adults. Journal of the American Geriatrics Society, 66(7), 1269-1275.
[2] Chaurasia, P., McClean, S., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2022). Modelling mobile-based technology adoption among people with dementia. Personal and Ubiquitous Computing, 26(2), 365-384.
[3] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016). Modelling assistive technology adoption for people with dementia. Journal of biomedical informatics, 63, 235-248.
[4] Knowles, B., & Hanson, V. L. (2018). Older adults’ deployment of ‘distrust’. ACM Transactions on Computer-Human Interaction (TOCHI), 25(4), 1-25.
[5] Boyle, L. D., Husebo, B. S., & Vislapuu, M. (2022). Promotors and barriers to the implementation and adoption of assistive technology and telecare for people with dementia and their caregivers: a systematic review of the literature. BMC Health Services Research, 22(1), 1573.
[6] Soar, J., Yu, L., & Al-Hakim, L. (2020). Older people’s needs and opportunities for assistive technologies. In The Impact of Digital Technologies on Public Health in Developed and Developing Countries: 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings 18 (pp. 404-414). Springer International Publishing.
[7] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016, August). Technology adoption and prediction tools for everyday technologies aimed at people with dementia. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4407-4410). IEEE.
[8] Chaurasia, P., McClean, S. I., Nugent, C. D., Cleland, I., Zhang, S., Donnelly, M. P., ... & Tschanz, J. (2016). Impact of medical history on technology adoption in Utah Population Database. In Ubiquitous Computing and Ambient Intelligence: 10th International Conference, UCAmI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29–December 2, 2016, Part II 10 (pp. 98-103). Springer International Publishing.
[9] McCann, A., McNulty, H., Rigby, J., Hughes, C. F., Hoey, L., Molloy, A. M., ... & Moore, A. (2018). Effect of area‐level socioeconomic deprivation on risk of cognitive dysfunction in older adults. Journal of the American Geriatrics Society, 66(7), 1269-1275.
Register your interest for this project
The university will respond to you directly. You will have a FindAPhD account to view your sent enquiries and receive email alerts with new PhD opportunities and guidance to help you choose the right programme.
It looks like you alredy have a FindAPhD Account
Log in to save time sending your enquiry and view previously sent enquiries
* required field
The information you submit to Ulster University - Magee Campus will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.
Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Londonderry, United Kingdom
Start a New search with our database of over 4,000 PhDs
PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Sonification and smart sensors for healthy ageing
Anglia Ruskin University ARU
Designing Technology for Personalised Nutrition
University of Reading
Semantic random-access technology for future wireless ecosystems
University of York