# Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer's Disease, and Related Dementia in Long Term Care Settings

> **NIH NIH R01** · VANDERBILT UNIVERSITY · 2021 · $623,182

## Abstract

Project Summary/Abstract
A large proportion of older adults residing in long term care (LTC) settings, such as nursing homes and assisted
living facilities, suffer from Mild Cognitive Impairment (MCI), Alzheimer's disease (AD) and AD-related dementias
(ADRD). Apathy is common in persons with AD and ADRD with prevalence rates up to 72%. It is associated with
further cognitive decline, functional deficits, reduced quality of life, social isolation, and increased mortality.
Apathy imposes significant burden on LTC staff and negatively impact quality of care, staff satisfaction and
turnover. Since few pharmacologic options exist, a major strategy is to foster older adults' engagement in social,
physical and cognitive activities, primarily those that are multimodal in nature. However, these interventions often
require significant personnel time and resources, a major concern given the current nursing shortage and high
turnover among LTC nursing personnel. The Centers of Medicare and Medicaid Services mandates LTC facilities
to provide meaningful engaging activities for residents, which can be resource intensive and are difficult for many
US LTC settings. In order to partially mitigate some of these issues, intervention based on an intelligent socially
assistive robot (SAR) based architecture, called ARIA (Adaptive Robot-mediated Intervention Architecture),
developed under a R21 grant, that can adaptively and dynamically interact with older adults with MCI, AD and
ADRD who reside in LTC settings, is proposed in this grant application. This interdisciplinary proposal is directly
aligned with the NIA goals of understanding and developing effective interventions using smart technology to
reduce the burden of age-related diseases and address the special caregiver needs of those caring for persons
with dementia (PWD). This multi-phase, multi-site, mixed methods clinical trial will systematically examine
responsiveness and engagement among persons with MCI or dementia to two types of SARs (humanoid and
animal), its effect on cognitive, physical and social function as well as the impact of SARs on informal and formal
caregivers with a goal towards future scalability and sustainability. The specific aims of the proposed research
are: Aim 1: To improve our novel social robotic interaction architecture through additional software development
to a) make it more versatile in combining multimodal quantitative data capturing engagement, b) more robust
such that non-experts can operate it and create new tasks by concatenating task primitives, and c) expand tasks
to address varying degrees of cognitive and physical impairments of older adults (Months 1-18). Aim 2: To
compare the effect of usual care (UC) group to UC+ARIA group on reducing apathy among older adults with
mild cognitive impairment (MCI), mild dementia, or moderate dementia (Months 19-48). Aim 3: To identify
barriers and facilitators to SAR implementation across sites to address future scalability and sus...

## Key facts

- **NIH application ID:** 10143162
- **Project number:** 5R01AG062685-02
- **Recipient organization:** VANDERBILT UNIVERSITY
- **Principal Investigator:** LORRAINE C MION
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $623,182
- **Award type:** 5
- **Project period:** 2020-05-01 → 2025-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10143162

## Citation

> US National Institutes of Health, RePORTER application 10143162, Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer's Disease, and Related Dementia in Long Term Care Settings (5R01AG062685-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10143162. Licensed CC0.

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