Presentation Schedule
Does Training Elderly to Use Generative Artificial Intelligence Tool Increase Their Psychological Well Being? A Pilot Study (109468)
Session Chair: Rowena Mende
Sunday, 12 July 2026 14:50
Session: Session 4
Room: UCL Torrington, B17 (Basement Floor)
Presentation Type:Oral Presentation
In the older population, loneliness are on the rise and have potential negative impacts on their health outcomes . Conversational Artificial Intelligence (AI) tools, such as ChatGPT, offer a promising solution to address these concerns by providing human-like conversation, offering emotional support, and facilitating communication with loved ones and caregivers . However, older adults may feel overwhelmed and distressed by rapidly advancing technology that surpasses their own capabilities . The current research aims to develop a tailor-made training programme – the Generative Artificial Intelligence Literacy Inclusion Programme (GAILIP) – for older adults through investigating their major barriers to and concerns about learning AI technologies. Our GAILIP involved 12 workshops conducted for older adults. In the programme, older adults will be trained in using GenAI technologies (i.e. ChatGPT) to create artefacts such as artwork, music, and chatbots in a much quicker and better way. Leveraging GenAI in common leisure activities like art creation and music composition can significantly foster cognitive and mental health in older adults. This pilot study, which included 30 samples (N=30), applied quasi-experimental study approach to measure their psychological wellbeing pre and post. Their psychological wellbeing is measured by the 18-item Ryff’s Psychological Well-Being Scale (RPWS), a validated instrument for measuring psychological wellbeing. T-test was conducted for data analysis and the result indicated that the score of RPWS is increased. The results provide initial evidence that our GAILIP could improve the psychological well-being among elderly. Increasing sample size is recommended to obtain a more impactful result.
Authors:
Ying Wai Bryan HO, The Hong Kong Metropolitan University, Hong Kong
Mei Yi Tsang, Castle Peak Hospital, Hong Kong
Wai Kit Wong, Hong Kong Metropolitan University, Hong Kong
About the Presenter(s)
Dr Ying Wai Bryan HO is a University Assistant Professor/Lecturer at The Hong Kong Metropolitan University in Hong Kong
Connect on ResearchGate
https://www.researchgate.net/profile/Bryan_Ho5
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