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Older Adults' Medication Management in the Home: How can Robots Help?

Akanksha Prakash1, Jenay M Beer1, Travis Deyle2

  • 1School of Psychology Georgia Institute of Technology Atlanta, GA, USA.

Proceedings of the ... ACM SIGCHI. ACM Conference on Human-Robot Interaction
|June 27, 2019
PubMed
Summary

Older adults are open to robot assistance for medication management, preferring robots for reminders but humans for complex decisions and administration. Robot design should consider user preferences for successful aging in place.

Keywords:
Agingassistive robotsdelivering medicationhome environmentmedication managementolder adults

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Area of Science:

  • Gerontology
  • Human-Robot Interaction
  • Assistive Technology

Background:

  • Medication non-adherence is a significant issue for older adults, impacting their ability to age in place.
  • Robotic assistance in medication management could support independence and improve health outcomes for seniors.
  • Understanding user attitudes and preferences is crucial for designing effective medication management robots.

Purpose of the Study:

  • To assess older adults' reactions to medication hand-off from a mobile manipulator robot.
  • To identify factors influencing older adults' attitudes toward robots for home medication management.
  • To understand preferences for robot versus human assistance in different medication management tasks.

Main Methods:

  • A study involving 12 older adult participants (ages 68-79) assessed their responses to a mobile manipulator robot during medication tasks.
  • Interviews and observations were used to gather data on participants' concerns, attitudes, and preferences.
  • Analysis focused on identifying key factors affecting acceptance of robotic assistance.

Main Results:

  • Older adults expressed openness to robot assistance for medication management.
  • Preferences varied by task: robots were preferred for reminders, while humans were preferred for decision-making and administration.
  • Perceptions of personal capability and robot reliability significantly influenced attitudes toward robotic assistance.

Conclusions:

  • Robots show promise for supporting older adults' medication management and independence.
  • Tailoring robot design and function to specific medication management tasks and user preferences is essential.
  • Further research should explore user-centered design principles for assistive robots in aging populations.