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Feasibility of an Embedded Voice-Based AI Health Monitoring Within a Group-Based Longevity Program for Older Adults
Kumiko Endo;
Ha Huynh Mai Khanh;
Yoshihiro Ikehata;
Sohyeong Jeong;
Makoto Komazawa;
Boeun Kwak;
Regine Paola Velilla;
Hansol Paeng;
Bao Truong;
Shigeo Horie
ABSTRACT
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.
Citation
Please cite as:
Endo K, Mai Khanh HH, Ikehata Y, Jeong S, Komazawa M, Kwak B, Velilla RP, Paeng H, Truong B, Horie S
Feasibility of an Embedded Voice-Based AI Health Monitoring Within a Group-Based Longevity Program for Older Adults