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Family caregivers' acceptance of AI-enabled technologies for providing care to older adults

Yee et al. "Family caregivers' acceptance of AI-enabled technologies for providing care to older adults." BMC Geriatrics 26:150, 2026.

Key findings used in wiki

  • The study found that caregiver intention to use AI-enabled technologies was shaped most strongly by social influence, followed by effort expectancy, performance expectancy, trust, professional advice, and facilitating conditions.
  • Perceived cost and technology anxiety acted as barriers to adoption.
  • The paper supports a narrow but important design claim: caregiver AI adoption depends heavily on usability, trust, and enabling conditions, not just raw capability.
  • It does not prove that SMS is inherently the best channel. It supports the smaller claim that familiar, low-friction, credible channels are more likely to be usable in practice.