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Research on smart home monitoring for older adults has predominantly focused on systems whose data and alerts are directed towards family members, caregivers, or healthcare providers. Older adults have expressed interest in engaging with these systems by seeing and using their data, but they are often limited to a passive role as subjects of monitoring. This paper presents qualitative results of a longitudinal smart home project with older adults living independently in the community. Based on interviews conducted throughout the 2.5-year study with 12 participants, we report on their lived experiences of having the monitoring system in their homes and on how they reflected on the data collected by the system. The results show how participants were able to extract meaningful information from the monitoring data without finding the system invasive or intrusive. Specifically, older adults exhibited interest in data that they found indicative of living an active lifestyle, such as time spent outside the home. Drawing from critical literature on active aging, we discuss implications for incorporating peer comparisons to support reflection on personal health data without reinforcing a deficit narrative of aging. 

Technology has the opportunity to assist older adults as they age in place, coordinate caregiving resources, and meet unmet needs through access to resources. Currently, older adults use consumer technologies to support everyday life, however these technologies are not always accessible or as useful as they can be. Indeed, industry has attempted to create smart home technologies (e.g., Microsoft HomeOS, Intel CareNet) with older adults as a target user group, however these solutions are oftenmore focused on the technical aspects and are short lived. In this paper, we advocate for older adults being involved in the design process - from initial ideation to product development to deployment. We encourage federally funded researchers and industry to create compensated, diverse older adult advisory boards to address stereotypes about aging while ensuring their needs are considered. We envision artificial intelligence (AI) systems that augment resources instead of replacing them - especially in under-resourced communities. Older adults rely on their caregiver networks and community organizations for social, emotional, and physical support; thus, AI should be used to coordinate resources better and lower the burden of connecting with these resources. Although sociotechnical smart systems can help identify needs of older adults, the lack of affordable research infrastructure and translation of findings into consumer technology perpetuates inequities in designing for diverse older adults. In addition, there is a disconnect between the creation of smart sensing systems and creating understandable, actionable data for older adults and caregivers to utilize. We ultimately advocate for a well-coordinated research effort across the United States that connects older adults, caregivers, community organizations, and researchers together to catalyze innovative and practical research for all stakeholders.