Music-based reminiscence has the potential to positively impact the
psychological well-being of older adults. However, the aging process and
physiological changes, such as memory decline and limited verbal communication,
may impede the ability of older adults to recall their memories and life
experiences. Given the advanced capabilities of generative artificial
intelligence (AI) systems, such as generated conversations and images, and
their potential to facilitate the reminiscing process, this study aims to
explore the design of generative AI to support music-based reminiscence in
older adults. This study follows a user-centered design approach incorporating
various stages, including detailed interviews with two social workers and two
design workshops (involving ten older adults). Our work contributes to an
in-depth understanding of older adults' attitudes toward utilizing generative
AI for supporting music-based reminiscence and identifies concrete design
considerations for the future design of generative AI to enhance the
reminiscence experience of older adults.

通过用户中心设计方法，本研究探索了使用生成式人工智能系统来支持音乐回忆对老年人心理福祉的影响，发现老年人对使用生成式人工智能来增强回忆体验持有积极态度，并提出了未来设计中的具体考虑要素。

探索支持老年人基于音乐回忆的生成式人工智能设计

Exploring the Design of Generative AI in Supporting Music-based  Reminiscence for Older Adults

Modeling differential stress expressions in urban and rural regions in China
can provide a better understanding of the effects of urbanization on
psychological well-being in a country that has rapidly grown economically in
the last two decades. This paper studies linguistic differences in the
experiences and expressions of stress in urban-rural China from Weibo posts
from over 65,000 users across 329 counties using hierarchical mixed-effects
models. We analyzed phrases, topical themes, and psycho-linguistic word choices
in Weibo posts mentioning stress to better understand appraisal differences
surrounding psychological stress in urban and rural communities in China; we
then compared them with large-scale polls from Gallup. After controlling for
socioeconomic and gender differences, we found that rural communities tend to
express stress in emotional and personal themes such as relationships, health,
and opportunity while users in urban areas express stress using relative,
temporal, and external themes such as work, politics, and economics. These
differences exist beyond controlling for GDP and urbanization, indicating a
fundamentally different lifestyle between rural and urban residents in very
specific environments, arguably having different sources of stress. We found
corroborative trends in physical, financial, and social wellness with
urbanization in Gallup polls.

本文从微博的用户中研究表达压力的语言差异现象，发现在控制了社会经济和性别差异的情况下，中国的城乡居民在表达压力时具有很大的差异，且这种差异是城乡地区的不同环境和生活方式导致的。