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Dementia Care Research and Psychosocial Factors
Lili Marlene Camacho-Bustamante1, Sergio Alberto Navarro-Tuch2, Alberto Agustín Palacios-García2
1Tecnologico de Monterrey, Mexico City, VL, Mexico.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
Summary
Designing voice assistants can improve social interaction for individuals with Alzheimer's disease (AD). Tailored technology can enhance well-being and combat isolation in AD patients.
Area of Science:
- Gerontology and Cognitive Science
- Human-Computer Interaction
- Assistive Technology Design
Background:
- Social interaction is vital for Alzheimer's disease (AD) patients, enhancing resilience and quality of life.
- Active social networks reduce emotional distress and isolation in individuals with AD.
- Barriers like cognitive decline and stigma impede social engagement for AD patients, worsening isolation.
Purpose of the Study:
- To identify key factors for designing voice assistants for individuals with Alzheimer's disease.
- To develop a framework for creating user-centered voice assistant technology for AD patients.
- To ensure voice assistant design addresses the unique needs and challenges of individuals with AD.
Main Methods:
- Comprehensive analysis of factors influencing voice assistant design for AD.
- Consideration of AD symptoms, emotional/social well-being, and disease progression.
- Evaluation of cognitive decline, memory, and communication impairments for usability.
Main Results:
- A framework for designing tailored voice assistants for individuals with Alzheimer's disease is proposed.
- The framework emphasizes age, symptom progression, and user needs for accessible design.
- Holistic consideration ensures voice assistants are adaptable and usable for AD patients.
Conclusions:
- The proposed framework provides a comprehensive approach to voice assistant design for AD.
- Voice assistants can improve social interaction and quality of life for individuals with Alzheimer's disease.
- Tailored voice assistant technology can effectively meet the specific needs of AD patients.
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