Browsing by Author "Vemireddy, Sravani"

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    Community-Based Service Providers’ Experiences With Activities for Persons With Dementia
    (Sage, 2021-10) Holden, Richard J.; Cavalcanti, Luiz H.; Vemireddy, Sravani; Bateman, Daniel R.; Sheetz, Nicole; Fowler, Nicole R.; Parmar, Takshak; Karanam, Yamini L. P.; Medicine, School of Medicine
    Persons with dementia (PWD) benefit from participating in meaningful activities. This study’s objective was to learn the characteristics of successful meaningful activities from community-based service providers who work with PWD. Six group interviews were performed with 15 unique professionals from an adult day service or community-based coordinated care program. These were supplemented by 100 hr of researcher immersion through weekly volunteering. Data were analyzed by a team, using qualitative content analysis. Participants reported successful activity content incorporated personalization; continuity and incremental challenges; and social engagement. Successful delivery of activities required managing necessary resources; involving informal (family/friend) caregivers; having a backup plan; monitoring time of day and energy levels; facilitating a domino effect; and ensuring safety. Outcomes of successful activities were experiencing fulfillment and purpose; overcoming challenges; and unexpected triggers. Research and practice recommendations include testing innovative, dynamic, and technology-enabled approaches to providing such activities.
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    Engaging Older Adults in the Participatory Design of Intelligent Health Search Tools
    (ACM, 2018-05) Martin-Hammond, Aqueasha; Vemireddy, Sravani; Rao, Kartik; BioHealth Informatics, School of Informatics and Computing
    Engaging older adults (adults 65+) in technology design can be challenging. At the same time, it is becoming ever more important to ensure inclusion of diverse perspectives in design research. Several strategies currently exist for successfully recruiting and engaging older adults in design. However, there is still much to learn about how to effectively engage older adults in the design process. In this position paper, we reflect on our experiences engaging older adults in participatory design of "smart" tools for health information search. We share our study design, including our recruitment process and procedures. We then discuss the strategies we used in the design process and challenges we encountered when designing and implementing our research protocol. We contribute our experiences in an effort to facilitate discussion of strategies and opportunities for including older adults in design research.
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    Exploring Older Adults’ Beliefs About the Use of Intelligent Assistants for Consumer Health Information Management: A Participatory Design Study
    (JMIR Publications, 2019-12-11) Martin-Hammond, Aqueasha; Vemireddy, Sravani; Rao, Kartik; Human-Centered Computing, School of Informatics and Computing
    Background: Intelligent assistants (IAs), also known as intelligent agents, use artificial intelligence to help users achieve a goal or complete a task. IAs represent a potential solution for providing older adults with individualized assistance at home, for example, to reduce social isolation, serve as memory aids, or help with disease management. However, to design IAs for health that are beneficial and accepted by older adults, it is important to understand their beliefs about IAs, how they would like to interact with IAs for consumer health, and how they desire to integrate IAs into their homes. Objective: We explore older adults’ mental models and beliefs about IAs, the tasks they want IAs to support, and how they would like to interact with IAs for consumer health. For the purpose of this study, we focus on IAs in the context of consumer health information management and search. Methods: We present findings from an exploratory, qualitative study that investigated older adults’ perspectives of IAs that aid with consumer health information search and management tasks. Eighteen older adults participated in a multiphase, participatory design workshop in which we engaged them in discussion, brainstorming, and design activities that helped us identify their current challenges managing and finding health information at home. We also explored their beliefs and ideas for an IA to assist them with consumer health tasks. We used participatory design activities to identify areas in which they felt IAs might be useful, but also to uncover the reasoning behind the ideas they presented. Discussions were audio-recorded and later transcribed. We compiled design artifacts collected during the study to supplement researcher transcripts and notes. Thematic analysis was used to analyze data. Results: We found that participants saw IAs as potentially useful for providing recommendations, facilitating collaboration between themselves and other caregivers, and for alerts of serious illness. However, they also desired familiar and natural interactions with IAs (eg, using voice) that could, if need be, provide fluid and unconstrained interactions, reason about their symptoms, and provide information or advice. Other participants discussed the need for flexible IAs that could be used by those with low technical resources or skills. Conclusions: From our findings, we present a discussion of three key components of participants’ mental models, including the people, behaviors, and interactions they described that were important for IAs for consumer health information management and seeking. We then discuss the role of access, transparency, caregivers, and autonomy in design for addressing participants’ concerns about privacy and trust as well as its role in assisting others that may interact with an IA on the older adults’ behalf.