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Human factors focus on taking the users’ capabilities, limitations, and environment into consideration when developing products. Thus, it is essential to have diverse perspectives and voices when designing products to be used by a variety of users. However, this is not always done and can be a missed opportunity in developing inclusive products. In this panel, we bring together researchers from different sectors to discuss challenges and strategies to engage a diverse research population at different stages in the product design process. Topics include research planning and the design process; data collection methods; and community- and participant-level recruitment. We hope that by sharing our experiences, we can prepare others to have the conversations needed that will allow them to successfully approach these topics.more » « less
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Harrington, Christina N; Jelen, Ben; Lazar, Amanda; Martin-Hammon, Aqueasha; Pradhan, Alisha; Reeder, Blaine; Siek, Katie (, A Computing Community Consortium (CCC) Quadrennial Paper)null (Ed.)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.more » « less
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