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Paper Session 6: Information Behavior, Design, and Analysis for Aging
Time:
Sunday, 16/Nov/2025:
2:00pm - 3:30pm
Location: Potomac VI
Presentations
2:00pm - 2:30pm When Chatman Meets Chinese Rural Older People with Health Anxiety: From Life in the Round to Concentric Life Circles
L. Wang , X. Wu, H. Zhu
Hangzhou Dianzi University, People's Republic of China
Rural Chinese older people face significant information poverty and elevated health anxiety, yet their health information behavior remains understudied in non-Western contexts. This study employs in-depth interviews, grounded theory, and information horizon mapping to investigate the health information seeking patterns of this vulnerable group. Our findings reveal a concentric life circle pattern, where health information behavior radiates outward from the core life circle (kinship ties/close community) to transitional life circles (extended networks). By integrating Chatman's small world theory and life in the round theory with China’s localized context, we propose the original "Concentric Life Circle Theory" (CLCT). This theory advances cross-cultural information behavior research and offers actionable solutions to mitigate health anxiety through culturally tailored information interventions.
2:30pm - 2:45pm Exploring the Impact of AI-generated Image, Story and Song Creations on AI Literacy and Well-Being Among Older Adults: A Mixed-Methods Study
P. Peng 1 , L. Xu2 , D. T. K. Ng3 , C. S. Y. Lee4 , S. K. W. Chu2
1 The University of Hong Kong, Hong Kong S.A.R., People's Republic of China; 2 Hong Kong Metropolitan University, Hong Kong S.A.R., People's Republic of China; 3 The Education University of Hong Kong, Hong Kong S.A.R., People's Republic of China; 4 University of Birmingham, United Kingdom
Generative Artificial intelligence (GenAI) has provided opportunities for multimodal expressions among people who lack AI literacy like older adults. A 10-lesson AI literacy for lifelong learning (AILL) programme was designed for 23 older adults aged 56 to 75 in Hong Kong to enable them to interact with AI to create songs, images, and stories. Adopting a mixed-methods approach, this study investigated the impact of AILL on the participants’ AI literacy, well-being, social connection and collaboration. Results indicated that the AILL programmes significantly enhanced the participants’ psychological well-being, life satisfaction, and reduced loneliness. Qualitative interviews identified four key themes: AI literacy, well-being, socialization and ethical concerns. These themes highlight technological, psychological, ethical, and pedagogical dimensions, offering valuable insights for policymakers and professionals in gerontology. This study enhances the existing AI literacy model by incorporating the concept of “Enable AI” to advance the framework to GenAI literacy. This updated model aims to foster an AI-inclusive society that supports and empowers older adults who can learn other knowledge with the support of AI.
