  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.
