Yoo, Yae Rin Yang, Eui Jeong Sung, Jee Eun Lim, Yoonseob 2026-03-06T01:30:18Z 2026-03-06T01:30:18Z 2026-03-06 2025-08 1944-9445 https://pubs.kist.re.kr/handle/201004/154398 With advancements in Large Language Models, conversational companion robots are increasingly recognized for their potential in supporting and caring for older adults. This study examines older adults' experiences and functional preferences for a conversational robot designed to enable personalized interactions across multiple sessions. The robot engages users in open-ended conversations by recalling previous dialogues, integrating personal information, and facilitating memory-stimulating conversations. Thirty healthy older adults participated in three one-hour interaction sessions with the robot, followed by post-interaction surveys. Results showed that participants found the interactions engaging and meaningful, expressing high satisfaction with the robot's ability to remember them and sustain personalized conversations. Among the robot's functions, health monitoring and retrospective memory support were identified as highly valued by older adults. These findings provide insights for developing more adaptive and socially engaging robots, emphasizing the importance of personalized memory retention and user-tailored interactions in enhancing social support and cognitive engagement for older adults. English IEEE What Do Older Adults Want? Exploring Experiences in Multi-Session Personalized Conversations with Companion Robots Conference 10.1109/RO-MAN63969.2025.11217696 1 34th International Symposium on Robot and Human Interactive Communication-RO-MAN-Annual, pp.2039 - 2045 34th International Symposium on Robot and Human Interactive Communication-RO-MAN-Annual 2039 2045 US Eindhoven, NETHERLANDS 2025-08-25 2025 34TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN 001672967200274 2-s2.0-105024564152 Proceedings Paper