# Social Assistive Robot Interface for People with Alzheimer's and Other Dementias to Aid in Care Management

> **NIH NIH R44** · ADVANCED MEDICAL ELECTRONICS CORPORATION · 2021 · $1,924,651

## Abstract

Project Summary/Abstract
Advanced Medical Electronics Corporation and our partners propose to develop a Socially-Assistive Robot
(SAR) system for persons with dementia (PWD),(mild cognitive impairment, Alzheimer's disease, or other
dementias), who are living in assisted living facilities. The proposed system uses Augmented Intelligence (AI)
to communicate with the PWD in natural language. The system's goals are three-fold. First, the system helps
PWD transition from living in their homes to ALFs by fostering relationships and conveying schedules. Second,
the system enables PWD to age in place by addressing the challenges that often lead to an escalation of care
(i.e., nursing homes). Third, the system engages PWD via activities such as storytelling and simple games. We
will integrate the proposed SAR system with current assistive technology, which is based on the evidence from
tested, personalized psychosocial approaches to deliver non-drug intervention to improve everyday behavior,
function, and quality of life in PWD. A strong multi-disciplinary team of engineers, academic experts in SAR
and PWD, and a commercialization partner has been assembled to achieve these goals.

## Key facts

- **NIH application ID:** 10020889
- **Project number:** 5R44AG058337-03
- **Recipient organization:** ADVANCED MEDICAL ELECTRONICS CORPORATION
- **Principal Investigator:** DANIEL S HEDIN
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,924,651
- **Award type:** 5
- **Project period:** 2017-09-15 → 2023-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10020889

## Citation

> US National Institutes of Health, RePORTER application 10020889, Social Assistive Robot Interface for People with Alzheimer's and Other Dementias to Aid in Care Management (5R44AG058337-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10020889. Licensed CC0.

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