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

Journal: JMIR formative research
PMID: 39298762

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.

Authors

  • In-Jin Yoo
    Graduate School of Business IT, Kookmin University, Seoul, Republic of Korea.
  • Do-Hyung Park
    Graduate School of Business IT, Kookmin University, Seoul, Republic of Korea.
  • Othelia EunKyoung Lee
    The University of North Carolina , Charlotte, North Carolina, USA, othelia.lee@uncc.edu.
  • Albert Park
    Department of Biomedical Informatics, School of Medicine University of Utah 421 Wakara Way Ste 140, Salt Lake City, UT 84108-3514, USA.

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