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

arXiv: https://arxiv.org/abs/2403.01413 · HTML: https://mlsanity.com/paper/2403.01413/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 94 references that are in the map.
- First posted on arXiv 3 Mar 2024.

## Builds on (most cited first, 6 of 6)

- [Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals](https://mlsanity.com/paper/2209.14958/) (2022)
- [One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles](https://mlsanity.com/paper/2108.09355/) (2021)
- [Biases in Generative Art -- A Causal Look from the Lens of Art History](https://mlsanity.com/paper/2010.13266/) (2020)
- [Toward General Design Principles for Generative AI Applications](https://mlsanity.com/paper/2301.05578/) (2023)
- [Smart Conversational Agents for Reminiscence](https://mlsanity.com/paper/1804.06550/) (2018)
- [Automatic Reminiscence Therapy for Dementia](https://mlsanity.com/paper/1910.11949/) (2019)

## Built on by (most cited first, 4 of 4)

- [Conversational Agents for Older Adults' Health: A Systematic Literature Review](https://mlsanity.com/paper/2503.23153/) (2025)
- [The Role of Generative AI in Facilitating Social Interactions: A Scoping Review](https://mlsanity.com/paper/2506.10927/) (2025)
- [ONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science](https://mlsanity.com/paper/2604.20719/) (2026)
- ["MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults](https://mlsanity.com/paper/2609.24706/) (2026)

## Abstract (arXiv)

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.