The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Chorus of the Past: Toward Designing a Multi-agent Conversational Reminiscence System with Digital Artifacts for Older Adults
Abstract
Reminiscence has been shown to provide benefits for older adults, but traditionally relies on personal photos as memory cues and interactions with real people who may not always be available. We present ReminiBuddy, a novel LLM-powered multi-agent conversational system, which allows older adults to engage with two distinct agents - one embodying an older identity and the other a younger identity - while using not only personal photos but also 3D models of generic nostalgic objects as memory cues. Our study, with older adult participants, found that the conversational approach both enjoyable and beneficial for reminiscence. While the younger agent was perceived as more emotionally engaging, the older one fostered greater resonance in content. Personal photos prompted autobiographical memories, whereas 3D generic nostalgic objects evoked shared memories of an era, contributing to a more multifaceted reminiscence experience. We further present design implications for better supporting older adults in reminiscing with LLM-powered conversational agents.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Findings show that participants demonstrated higher engagement and emotional involvement during interactions.”
From Designing for Reminiscence in Digital Photo Systems for Older Adults: A Scoping Review (2026) · cites this paper as Sun et al., 2025
In the citing paper
“For example, Chorus of the Past uses a multi-agent dialogue system to continuously pose questions around photographs and nostalgic objects, guiding older adults to gradually elaborate their memories (Sun et al., 2025).”
From Designing for Reminiscence in Digital Photo Systems for Older Adults: A Scoping Review (2026) · cites this paper as Sun et al., 2025
Citations
Cites
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.2.333 · Cited by 2,113
Nostalgia: content, triggers, functions
Wildschut, T., Sedikides, C., Arndt, J., & Routledge, C. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.91.5.975 · Cited by 1,252
McAdams, D. P., Reynolds, J., Lewis, M., Patten, A. H., & Bowman, P. J. (2001) · Personality and Social Psychology Bulletin · doi:10.1177/0146167201274008 · Cited by 822
Conway, M. A. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.02.003 · Cited by 519 · cited 2×
“Visual cues, particularly photos, are among the most effective triggers for reminiscence, as autobio-graphical memories are often encoded visually [12, 19].”
The effects of reminiscence on psychological well-being in older adults: A meta-analysis
Bohlmeijer, E., Roemer, M., Cuijpers, P., & Smit, F. (2007) · Aging & Mental Health · doi:10.1080/13607860600963547 · Cited by 390
Turn-taking in conversational systems and human-robot interaction: a review
Skantze, G. (2021) · Computer Speech & Language · doi:10.1016/j.csl.2020.101178 · Cited by 298
Kobayashi, M., Kosugi, A., Takagi, H., Nemoto, M., Nemoto, K., Arai, T., & Yamada, Y. (2019) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-29390-1_4 · Cited by 45
Metaphors in Voice User Interfaces: A Slippery Fish
Desai, S., & Twidale, M. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3609326 · Cited by 42 · cited 1×
“We found that older adults’ interaction behaviors, perceptions, and preferences varied with agent identities, aligning with previous research showing that metaphorical descriptions help older adults conceptualize voice assistants (VAs) and establish interaction norms [11, 17].”
Chin, J., Desai, S., Lin, S. (.-H., & Mejia, S. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637365 · Cited by 27 · cited 2×
“Moreover, unlike traditional VAs, which are often perceived as fictional characters or acquaintances [11], our agents were mostly viewed as distinct individuals.”
Research works printed but not linked: 41
- Alaa Abd-alrazaq Dari Alhuwail Eiman Al-Jafar Arfan Ahmed Farag Shuweihdi Shuja Mohd Reagu and Mowafa Househ. 2022. The Effectiveness of Serious Games in Improving Memory Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis. JMIR Serious Games 10 3 (Aug. 2022) e35202. 10.2196/35202 · DOI
- Arlene J. Astell Maggie P. Ellis Norman Alm Richard Dye and Gary Gowans. 2010. Stimulating people with dementia to reminisce using personal and generic photographs. International Journal of Computers in Healthcare 1 2 (2010) 177. 10.1504/IJCIH.2010.037461 · DOI
- 10.1145/3180308.3180330 · DOI
- Benett Axtell and Cosmin Munteanu. 2019. Back to Real Pictures: A Cross-generational Understanding of Users’ Mental Models of Photo Cloud Storage. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 3 3 (Sept. 2019) 1–24. 10.1145/3351232 · DOI
- 10.1145/3290607.3313272 · DOI
- 10.1145/3491102.3517692 · DOI
- Steven Baker Ryan M. Kelly Jenny Waycott Romina Carrasco Roger Bell Zaher Joukhadar Thuong Hoang Elizabeth Ozanne and Frank Vetere. 2021. School’s Back: Scaffolding Reminiscence in Social Virtual Reality with Older Adults. Proceedings of the ACM on Human-Computer Interaction 4 CSCW3 (Jan. 2021) 1–25. 10.1145/3434176 · DOI
- 10.1145/3372278.3391927 · DOI
- 10.1109/ICASSP40776.2020.9053159 · DOI
- Maria Cotelli Rosa Manenti and Orazio Zanetti. 2012. Reminiscence therapy in dementia: A review. Maturitas 72 3 (July 2012) 203–205. 10.1016/j.maturitas.2012.04.008 · DOI
- Burcu Demiray Marianne Mischler and Mike Martin. 2019. Reminiscence in Everyday Conversations: A Naturalistic Observation Study of Older Adults. The Journals of Gerontology: Series B 74 5 (June 2019) 745–755. 10.1093/geronb/gbx141 · DOI
- 10.18653/v1/2023.acl-long.225 · DOI
- 10.1007/978-3-030-77080-8_27 · DOI
- D Greenberg M Eacott D Brechin and D Rubin. 2005. Visual memory loss and autobiographical amnesia: a case study. Neuropsychologia 43 10 (2005) 1493–1502. 10.1016/j.neuropsychologia.2004.12.009 · DOI
- 10.1007/978-3-031-61281-7_24 · DOI
- 10.1145/3613905.3650979 · DOI
- 10.1145/3613904.3642800 · DOI
- 10.1145/3411764.3445688 · DOI
- Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022. Large Language Models are Zero-Shot Reasoners. In Advances in Neural Information Processing Systems , S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.), Vol. 35. Curran Associates, Inc., 22199–22213. https://proceedings.neurips.cc/paper_files/paper/2022/file/8bb0d291acd4acf06ef112099c16f326-Paper-Conference.pdf
- 10.1145/3613904.3642168 · DOI
- 10.1145/3477495.3532001 · DOI
- Zisu Li Li Feng Chen Liang Yuru Huang and Mingming Fan. 2023. Exploring the Opportunities of AR for Enriching Storytelling with Family Photos between Grandparents and Grandchildren. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 7 3 (Sept. 2023) 1–26. 10.1145/3610903 · DOI
- Amna Liaqat Benett Axtell and Cosmin Munteanu. 2022. "With a hint she will remember": Collaborative Storytelling and Culture Sharing between Immigrant Grandparents and Grandchildren Via Magic Thing Designs. Proc. ACM Hum.-Comput. Interact. 6 CSCW2 Article 268 (nov 2022) 37 pages. 10.1145/3555158 · DOI
- Siân E. Lindley. 2012. Before I Forget: From Personal Memory to Family History. Human–Computer Interaction 27 1-2 (2012) 13–36. 10.1080/07370024.2012.656065 · DOI
- 10.1145/2441776.2441802 · DOI
- 10.18653/v1/2023.emnlp-main.814 · DOI · Paper page
- Wilson Tam Sum Nok Poon Rathi Mahendran Ee Heok Kua and Xi Vivien Wu. 2021. The effectiveness of reminiscence-based intervention on improving psychological well-being in cognitively intact older adults: A systematic review and meta-analysis. International Journal of Nursing Studies 114 (Feb. 2021) 103847. 10.1016/j.ijnurstu.2020.103847 · DOI
- 10.1145/1377999.1378023 · DOI
- 10.1145/2470654.2466215 · DOI
- 10.1145/2212776.2223698 · DOI
- Seiki Tokunaga Kazuhiro Tamura and Mihoko Otake-Matsuura. 2021. A Dialogue-Based System with Photo and Storytelling for Older Adults: Toward Daily Cognitive Training. Frontiers in Robotics and AI 8 (June 2021) 644964. 10.3389/frobt.2021.644964 · DOI
- Xin Wang Juan Li Tianyi Liang Wordh Ul Hasan Kimia Tuz Zaman Yang Du Bo Xie and Cui Tao. 2024. Promoting Personalized Reminiscence Among Cognitively Intact Older Adults Through an AI-Driven Interactive Multimodal Photo Album: Development and Usability Study. JMIR aging 7 (Jan. 2024) e49415. 10.2196/49415 · DOI
- J. D. Webster. 1993. Construction and Validation of the Reminiscence Functions Scale. Journal of Gerontology 48 5 (Sept. 1993) P256–P262. 10.1093/geronj/48.5.P256 · DOI
- 10.1145/3544548.3581405 · DOI
- Gerben J. Westerhof and Ernst T. Bohlmeijer. 2014. Celebrating fifty years of research and applications in reminiscence and life review: State of the art and new directions. Journal of Aging Studies 29 (April 2014) 107–114. 10.1016/j.jaging.2014.02.003 · DOI
- Shuai Yang Yuying Ge Yang Li Yukang Chen Yixiao Ge Ying Shan and Yingcong Chen. 2024. SEED-Story: Multimodal Long Story Generation with Large Language Model. arxiv:https://arXiv.org/abs/2407.08683 [cs.CV] https://arxiv.org/abs/2407.08683 · arXiv
- Shukang Yin Chaoyou Fu Sirui Zhao Ke Li Xing Sun Tong Xu and Enhong Chen. 2024. A Survey on Multimodal Large Language Models. arxiv:https://arXiv.org/abs/2306.13549 [cs.CV] https://arxiv.org/abs/2306.13549 · arXiv
- Chuanqi Zang Jiji Tang Rongsheng Zhang Zeng Zhao Tangjie Lv Mingtao Pei and Wei Liang. 2024. Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller. arxiv:https://arXiv.org/abs/2403.07301 [cs.CV] https://arxiv.org/abs/2403.07301 · arXiv
- 10.1145/3613904.3642545 · DOI
- Zhongyue Zhang Lina Xu Xingkai Wang Xu Zhang and Mingming Fan. 2025. Understanding and Co-designing Photo-based Reminiscence with Older Adults. Proc. ACM Hum.-Comput. Interact. 9 2 Article CSCW196 (April 2025) 30 pages. 10.1145/3711094 · DOI
- 10.1145/3491102.3501855 · DOI
Cited by
Sorted by citations
Designing for Reminiscence in Digital Photo Systems for Older Adults: A Scoping Review
Shen, Y. (2026) · AHFE International · doi:10.54941/ahfe1007577
Metadata
- Authors
- Sun, J., Zhang, Z., Wang, M., Li, N., Lu, Z., Xiang, Y., Zhang, L., Zhang, Y., Wang, Q., & Fan, M.
- Affiliations
- Lenovo Research, Beijing, China
- The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
- Southeast University, Nanjing, China and Lenovo Research, Beijing, China
- The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China and The Hong Kong University of Science and Technology, Hong Kong, China
- ORCID
- Venue
- Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2025-04-25
- Pages
- 1-22
- Cited by
- 12
- References
- 9
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review