TY - GEN
T1 - Enhancing Senior Tourism and Quality of Life Through AI-Driven Destination Personalisation
AU - Zheng, Shufan
AU - Lo, Ying Tuan
AU - Li, Songyue
AU - Tan, Andrew Huey Ping
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This paper explores the intersection of senior tourism, quality of life, and AI-driven destination personalisation amidst China's demographic shifts. Decades of family planning policies have rapidly aged China's population, altering traditional family structures and caregiving dynamics for the elderly. The challenges magnified by urbanization, the one-child policy, and uneven economic development have further underscored the plight of seniors in ‘empty-nest families’, revealing the pressing imperative to tackle aging-related issues, a domain where AI and big data technologies can play a transformative role. The paper emphasises aims to address these issues by identifying the impact of AI and big data in senior tourism, proposing personalised travel experiences tailored to the evolving needs and preferences of older travelers. By doing so, we will develop a senior tourism model that can replace traditional models as more travel agencies adopt AI. Ultimately, this conceptual paper aims to present a novel theoretical framework that seeks to enhance the quality of life for seniors, offering them fulfilling and accessible travel experience.
AB - This paper explores the intersection of senior tourism, quality of life, and AI-driven destination personalisation amidst China's demographic shifts. Decades of family planning policies have rapidly aged China's population, altering traditional family structures and caregiving dynamics for the elderly. The challenges magnified by urbanization, the one-child policy, and uneven economic development have further underscored the plight of seniors in ‘empty-nest families’, revealing the pressing imperative to tackle aging-related issues, a domain where AI and big data technologies can play a transformative role. The paper emphasises aims to address these issues by identifying the impact of AI and big data in senior tourism, proposing personalised travel experiences tailored to the evolving needs and preferences of older travelers. By doing so, we will develop a senior tourism model that can replace traditional models as more travel agencies adopt AI. Ultimately, this conceptual paper aims to present a novel theoretical framework that seeks to enhance the quality of life for seniors, offering them fulfilling and accessible travel experience.
KW - AI-Driven Destination
KW - Quality of Life
KW - Senior Tourism
UR - http://www.scopus.com/inward/record.url?scp=85211340670&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70687-5_23
DO - 10.1007/978-3-031-70687-5_23
M3 - Conference Proceeding
AN - SCOPUS:85211340670
SN - 9783031706868
T3 - Lecture Notes in Networks and Systems
SP - 214
EP - 223
BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
A2 - Abdul Majeed, Anwar P. P.
A2 - Yap, Eng Hwa
A2 - Liu, Pengcheng
A2 - Huang, Xiaowei
A2 - Nguyen, Anh
A2 - Chen, Wei
A2 - Kim, Ue-Hwan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Y2 - 6 December 2023 through 8 December 2023
ER -
