Feasibility of an Embedded Voice-Based AI Health Monitoring Within a Group-Based Longevity Program for Older Adults (Preprint)

2026 Preprint Open access

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Authors: Kumiko Endo, Ha Huynh Mai Khanh, Yoshihiro Ikehata, Sohyeong Jeong, Makoto Komazawa, Boeun Kwak, Regine Paola Velilla, Hansol Paeng, Bao C. Q. Truong, Shigeo Horie
DOI: 10.2196/preprints.92827
Cited by: 0
References: 7

Abstract

UNSTRUCTURED This feasibility study of daily voice-based AI health monitoring among 14 elderly Japanese adults (mean age 71 years) within an 8-week group-based longevity intervention demonstrated 73% median daily engagement and generation of 4,876 qualitatively rich conversational messages, suggesting voice AI succeeds not by replacing human connection but by mediating it within social support structures.

Fields of Study & Subjects

Technology Use by Older Adults Innovative Human-Technology Interaction Context-Aware Activity Recognition Systems

Publication details

Publication date
3 February 2026
Language
EN
Document type
Preprint