Bridging Connection & Care: AI-Modified Activities for Residents

Abstract This study explored the effectiveness of using artificial intelligence (AI) to modify activities in care facilities based on vision, hearing, mobility impairments, and for those living with dementia. AI has become a widespread tool, although its applications in care facilities remains unexplored. Two programs (e.g., Co-Pilot and ChatGPT) were used to explore their effectiveness in modifying activities from four different care facilities (e.g., independent living, assisted living, nursing home, and memory care). Actual activity calendars from each facility were used. In the first iteration, our prompt was “In a [type of care facility] how would you modify [type of activity] for someone who has [dementia, mobility, hearing, or vision impairment]. We noted that ChatGPT provided significantly more detail about how the activity could be modified and why that would be important (e.g., explaining why using bright colors and textures might help to provide increased sensory stimulation for those living with dementia). In a second iteration, we asked Co-Pilot and ChatGPT to modify the activities if the facility was short-staffed. Both AI platforms suggested allowing residents more independence with the activities. However, for some areas, such as memory care units, it may not be feasible for residents to complete activities independently due to their cognitive functioning. These findings suggest that AI may be most useful for providing employees guidance with tailoring activities to individual needs. However, AI lacked critical thinking when suggesting that residents could complete activities with more independence if the facility were short staffed.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.2242
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging Connection & Care: AI-Modified Activities for Residents

ZaKiyah Timmons-Crear, Melinda Heinz
Innovation in Aging
Artificial Intelligence in Healthcare and Education
article

Bridging Connection & Care: AI-Modified Activities for Residents

ZaKiyah Timmons-Crear, Melinda Heinz
article en

Abstract

Abstract This study explored the effectiveness of using artificial intelligence (AI) to modify activities in care facilities based on vision, hearing, mobility impairments, and for those living with dementia. AI has become a widespread tool, although its applications in care facilities remains unexplored. Two programs (e.g., Co-Pilot and ChatGPT) were used to explore their effectiveness in modifying activities from four different care facilities (e.g., independent living, assisted living, nursing home, and memory care). Actual activity calendars from each facility were used. In the first iteration, our prompt was “In a [type of care facility] how would you modify [type of activity] for someone who has [dementia, mobility, hearing, or vision impairment]. We noted that ChatGPT provided significantly more detail about how the activity could be modified and why that would be important (e.g., explaining why using bright colors and textures might help to provide increased sensory stimulation for those living with dementia). In a second iteration, we asked Co-Pilot and ChatGPT to modify the activities if the facility was short-staffed. Both AI platforms suggested allowing residents more independence with the activities. However, for some areas, such as memory care units, it may not be feasible for residents to complete activities independently due to their cognitive functioning. These findings suggest that AI may be most useful for providing employees guidance with tailoring activities to individual needs. However, AI lacked critical thinking when suggesting that residents could complete activities with more independence if the facility were short staffed.

Innovation in AgingVol. 9(Supplement_2)
University of Northern Iowa (US)
Openalex Percentile: Top 36%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.