Engaging Older Adults to Guide the Development of Passive Home Health Monitoring to Support Aging in Place

By 2050, most adults aged 65 and older in the United States will want to age independently at home, a goal that will strain healthcare resources. Adults aged 50 and older (N = 112) were recruited for study participation between 2018 and 2022. They completed surveys and participated in discussion sessions to explore their needs and opinions regarding smart home sensors. Survey results indicated that older adults' comfort with smart home sensors increased with their perceived need for monitoring when home alone (OR = 1.46; <i>p</i> = 0.012) or sick/recovering from an illness (OR = 2.21; <i>p</i> < 0.001). When sick compared to when healthy, individuals were 2.65 times more likely to prefer installing multiple sensors in the living room, 1.75 times more likely in the kitchen, 3.66 times more likely in the bedroom, and 3.41 times more likely in the bathroom (<i>p</i> < 0.05). Regarding data sharing, participants were most willing to share information with healthcare providers and family members on a regular basis (80 and 81%, respectively) and 71% on a regular basis or when sick/recovering. Comfort with data sharing with professional caregivers (OR = 1.67; <i>p</i> = 0.0017) and monitoring companies (OR = 1.34; <i>p</i> = 0.030) significantly increased when sick/recovering. Discussion sessions highlighted overwhelming concerns about personal security/privacy, loss of independence, and ethical issues in data collection. Participants emphasized the need for new systems to be flexible, cost-effective, user-friendly, and respectful of user autonomy, accommodating diverse life stages, comfort levels, home environments, income levels, and support structures. Insights are now informing sensor data collection in our model home. Study findings underscore the importance of involving potential users in technology development to create effective and acceptable solutions for aging in place.

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Publication Details

Journal
Sensors
Published
2025-12-05
DOI
https://doi.org/10.3390/s25247413
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Engaging Older Adults to Guide the Development of Passive Home Health Monitoring to Support Aging in Place

Sensors
Context-Aware Activity Recognition Systems
article

Engaging Older Adults to Guide the Development of Passive Home Health Monitoring to Support Aging in Place

article en

Abstract

By 2050, most adults aged 65 and older in the United States will want to age independently at home, a goal that will strain healthcare resources. Adults aged 50 and older (N = 112) were recruited for study participation between 2018 and 2022. They completed surveys and participated in discussion sessions to explore their needs and opinions regarding smart home sensors. Survey results indicated that older adults' comfort with smart home sensors increased with their perceived need for monitoring when home alone (OR = 1.46; <i>p</i> = 0.012) or sick/recovering from an illness (OR = 2.21; <i>p</i> < 0.001). When sick compared to when healthy, individuals were 2.65 times more likely to prefer installing multiple sensors in the living room, 1.75 times more likely in the kitchen, 3.66 times more likely in the bedroom, and 3.41 times more likely in the bathroom (<i>p</i> < 0.05). Regarding data sharing, participants were most willing to share information with healthcare providers and family members on a regular basis (80 and 81%, respectively) and 71% on a regular basis or when sick/recovering. Comfort with data sharing with professional caregivers (OR = 1.67; <i>p</i> = 0.0017) and monitoring companies (OR = 1.34; <i>p</i> = 0.030) significantly increased when sick/recovering. Discussion sessions highlighted overwhelming concerns about personal security/privacy, loss of independence, and ethical issues in data collection. Participants emphasized the need for new systems to be flexible, cost-effective, user-friendly, and respectful of user autonomy, accommodating diverse life stages, comfort levels, home environments, income levels, and support structures. Insights are now informing sensor data collection in our model home. Study findings underscore the importance of involving potential users in technology development to create effective and acceptable solutions for aging in place.

SensorsVol. 25(24)
Stony Brook School (US), Stony Brook Medicine (US), Stony Brook University (US)
No poverty
Openalex Percentile: Top 40%
Context-Aware Activity Recognition Systems
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