.png){kind=icon}
.png){kind=icon}
Return
NegotiAge—An AI-Based Caregiver Negotiation Training: Results From the Multiphase Optimization Strategy (MOST) Trial
.png){kind=icon}
OA
AI
V
A
C
C
J
J
J
M
A
L
DOI：10.1111/jgs.70546.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Family caregivers experience conflicts in caring for people with Alzheimer's dementia (PWD; e.g., siblings disagreeing, advocating with providers, PWD refusing assistance). Subsequently, family caregivers experience frustration, burden, and stress. Furthermore, these caregivers rarely receive formal conflict resolution training to ameliorate these concerns. We developed NegotiAge—an artificial intelligence (AI)-based negotiation training intervention that teaches caregivers how to resolve conflicts and provides the opportunity to practice negotiating with online avatars in real-world conflicts. We sought to optimize the potency and test the early effect of NegotiAge on family caregivers following the multiphase optimization strategy (MOST).
Keywords:
artificial intelligence
conflict resolution
family caregivers
negotiation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.5
Papers:
1.8W
Citations:
3.7W
Organization
Cited Papers