Strategies to Improve the Ageing-friendly Experience of AIGC Elderly Care Products from the Perspective of Emotional Interaction
DOI:
https://doi.org/10.54691/c4a21y31Keywords:
AIGC, elderly care products, emotional interaction, ageing-friendly experience.Abstract
As artificial intelligence generated content (AIGC) technology into the field of elderly care services, the functional form and service mode of elderly care products are changing, and the demand of elderly users for intelligent products is gradually extending from basic life assistance to emotional companionship, information exchange and personalised services. Seen through emotional interaction, AIGC elderly care products not only need to pay attention to the realisation of technical functions. Yet also fully consider the cognitive characteristics, emotional needs and usage habits of the elderly group. The author analyses the actual needs of AIGC elderly care products for ageing, points out the problems of the current products, and puts forward experience improvement strategies in terms of reconstructing the interaction logic of elderly care products, expanding natural emotional interaction methods, and improving personalised emotional companionship services. On this basis, a guarantee mechanism is proposed in terms of establishing a participatory design mechanism for elderly users, improving emotional interaction and data security standards, and building a collaborative service system for enterprises, families and elderly care institutions, so as to promote the deep integration of AIGC technology with ageing-friendly design and emotional interaction concepts, and optimise smart elderly care products. And provide reference for the improvement of the digital life experience of elderly users.
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[1] Bickmore, T. W., Caruso, L., Clough Gorr, K., & Heeren, T. (2005). “It’s just like you talk to a friend”: Relational agents for older adults. Interacting with Computers, 17(6), 711–735. https://doi.org/10.1016/j.intcom.2005.09.002
[2] Chen, S. C., Moyle, W., Jones, C., & Petsky, H. (2020). A social robot intervention on depression, loneliness, and quality of life for Taiwanese older adults in long term care. International Psychogeriatrics, 32(8), 981–991. https://doi.org/10.1017/S1041610220000459
[3] Dosso, J. A., Kailley, J. N., Guerra, G. K., & Robillard, J. M. (2023). Older adult perspectives on emotion and stigma in social robots. Frontiers in Psychiatry, 13, 1051750. https://doi.org/10.3389/fpsyt.2022.1051750
[4] Gasteiger, N., Loveys, K., Law, M., & Broadbent, E. (2021). Friends from the future: A scoping review of research into robots and computer agents to combat loneliness in older people. Clinical Interventions in Aging, 16, 941–971. https://doi.org/10.2147/CIA.S282709
[5] Heerink, M., Kröse, B., Evers, V., & Wielinga, B. J. (2010). Assessing acceptance of assistive social agent technology by older adults: The Almere model. International Journal of Social Robotics, 2(4), 361–375. https://doi.org/10.1007/s12369 010 0068 5
[6] Irfan, B., Kuoppamäki, S., & Skantze, G. (2024). Recommendations for designing conversational companion robots with older adults through foundation models. Frontiers in Robotics and AI, 11, 1363713. https://doi.org/10.3389/frobt.2024.1363713
[7] Looije, R., Neerincx, M. A., & Cnossen, F. (2010). Persuasive robotic assistant for health self management of older adults: Design and evaluation of social behaviors. International Journal of Human Computer Studies, 68(6), 386–397. https://doi.org/10.1016/j.ijhcs.2009.08.007
[8] Pu, L., Moyle, W., Jones, C., & Todorovic, M. (2019). The effectiveness of social robots for older adults: A systematic review and meta analysis of randomized controlled studies. The Gerontologist, 59(1), e37–e51. https://doi.org/10.1093/geront/gny046
[9] Vandemeulebroucke, T., Dzi, K. T. J., & Gastmans, C. (2021). Older adults’ experiences with and perceptions of the use of socially assistive robots in aged care: A systematic review of quantitative evidence. Archives of Gerontology and Geriatrics, 95, 104399. https://doi.org/10.1016/j.archger.2021.104399
[10] Yu, S., & Chen, T. (2024). Understanding older adults’ acceptance of chatbots in healthcare delivery: An extended UTAUT model. Frontiers in Public Health, 12, 1435329. https://doi.org/10.3389/fpubh.2024.1435329
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