Investigating Older Adults' Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study.

ABSTRACT:

Background

The aging population and the shortage of geriatric care workers are major global concerns. Socially assistive robots (SARs) have the potential to address these issues, but developing SARs for various types of users is still in its infancy.

Objective

This study aims to examine the characteristics and use patterns of SARs.

Methods

This study analyzed log data from 64 older adults who used a SAR called Hyodol for 60 days to understand use patterns and their relationship with user characteristics. Data on user interactions, robot-assisted content use, demographics, physical and mental health, and lifestyle were collected. Time series clustering was used to group users based on use patterns, followed by profiling analysis to relate these patterns to user charact

SUBMITTER: Yoo IJ 

PROVIDER: S-EPMC11450348 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature