RemiHaven: Integrating "In-Town" and "Out-of-Town" Peers to Provide Personalized Reminiscence Support for Older Drifters

要旨

With increasing social mobility and an aging society, more older adults in China are migrating to new cities, known as “older drifters”. Due to fewer social connections and cultural adaptation, they face negative emotions such as loneliness and depression. While reminiscence-based interventions have been used to improve older adults' psychological well-being, challenges such as the lack of tangible materials and limited social resources constrain the feasibility of traditional reminiscence approaches for older drifters. To address this challenge, we designed RemiHaven, a personalized reminiscence support tool based on a two-phase formative study. It integrates “In-Town” and “Out-of-Town” peer agents to enhance personalization, engagement, and emotional resonance in the reminiscence process powered by Multimodal Large Language Models (MLLMs). Our evaluations show RemiHaven's strengths in supporting reminiscence while identifying potential challenges. We conclude by offering insights for the future design of reminiscence support tools for older migrants.

著者
Xuechen Zhang
Fudan University, Shanghai, China
Changyang He
Max Planck Institute for Security and Privacy, Bochum, Germany
Peng Zhang
Fudan University, Shanghai, China
Hansu Gu
Independent, Seattle, Washington, United States
Ning Gu
Fudan University, Shanghai, Shanghai, China
Qi Shen
Fudan University, Shanghai, China
Zhan Hu
Fudan University, Shanghai, China
Tun Lu
Fudan University, Shanghai, Shanghai, China
DOI

10.1145/3706598.3714277

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714277

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Elderly

G316+G317
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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