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  1. Home
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Browsing by Author "Martin-Hammond, Aqueasha"

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    "Alexa is a Toy": Exploring Older Adults' Reasons for Using, Limiting, and Abandoning Echo
    (ACM, 2020-04) Trajkova, Milka; Martin-Hammond, Aqueasha; Human-Centered Computing, School of Informatics and Computing
    Intelligent voice assistants (IVAs) have the potential to support older adults' independent living. However, despite a growing body of research focusing on IVA use, we know little about why older adults become IVA non-users. This paper examines the reasons older adults use, limit, and abandon IVAs (i.e., Amazon Echo) in their homes. We conducted eight focus groups, with 38 older adults residing in a Life Plan Community. Thirty-six participants owned an Echo for at least a year, and two were considering adoption. Over time, most participants became non-users due to their difficulty finding valuable uses, beliefs associated with ability and IVA use, or challenges with use in shared spaces. However, we also found that participants saw the potential for future IVA support. We contribute a better understanding of the reasons older adults do not engage with IVAs and how IVAs might better support aging and independent living in the future.
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    Bridging Community, History, and Culture in Personal Informatics Tools: Insights from an Existing Community-Based Heart Health Intervention for Black Americans
    (ACM, 2022-01) Martin-Hammond, Aqueasha; Purnell, Tanjala S.; Human-Centered Computing, School of Informatics and Computing
    A healthy diet and increased physical activity are essential for reducing the prevalence of cardiovascular disease and related deaths, a worldwide public health concern that disproportionately affects Black American communities. Still, Black Americans can face unique challenges meeting dietary and physical activity requirements due to inequities in access and quality of care, environmental and local factors, and difficulties in changing individual health behaviors. Personal informatics and self-tracking tools are one way of increasing awareness of health behaviors to motivate behavior change. However, there are still gaps in knowledge about what encourages different users to engage with personal informatics tools over time, particularly when used in collaborative, community-health settings. This paper contributes a nuanced understanding of fifteen participants' reasons for engaging in an existing community-based health education and behavior change program that combines collaborative self-tracking with culturally relevant content and social engagement to motivate heart-healthy behaviors. We illustrate participants' positive and negative experiences engaging in self-tracking and collaborative tasks during the program. We also discuss how participants envision that integrating technology might support or hinder participant engagement and the work of deploying community-based public health interventions. Finally, we discuss design implications for culturally informed, community-based personal informatics tools that engage Black American's in heart-healthy activities.
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    A Case for Making Web Accessibility Guidelines Accessible: Older Adult Content Creators and Web Accessibility Planning
    (ACM, 2021-10) Martin-Hammond, Aqueasha; Patil, Ulka; Tandukar, Barsa; BioHealth Informatics, School of Informatics and Computing
    This paper presents our experiences supporting web accessibility planning among a group of older adult online content creators. We highlight challenges we encountered meeting the web accessibility informational needs of our partners and helping this group of creators become aware and put in place measures to address accessibility issues. Our reflections highlight opportunities for future efforts to improve web accessibility support for everyday content creators and support for helping those less familiar with web accessibility options.
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    A Circle of Friends: Persuasive Tools to Improve Heart Health
    (ACM, 2020-01) Sanders, Jamie; Glenn-Smith, Ina; Purnell, Tanjala S.; Martin-Hammond, Aqueasha; Charleston, Jeanne; Human-Centered Computing, School of Informatics and Computing
    Cardiovascular disease (CVD) is the leading causes of death in the United States and worldwide. While CVD risk factors are well-known and many can be changed with diet and exercise, more research is needed to understand how to design effective interventions that help patients reduce CVD risk. In this paper, we present the results of a content analysis of the Health Freedom Circle of Friends (COF) Walking Program, a community-based health program run by a public health non-profit that has been shown to reduce CVD risks. We examine the design to better understand the persuasive tools used as well as parts of the design that might benefit from a technological intervention.
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    Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks
    (2021) Bonilla, Karen; Gaitan, Brian; Sanders, Jamie; Khenglawt, Noami; Martin-Hammond, Aqueasha; BioHealth Informatics, School of Informatics and Computing
    The increased prevalence of voice search presents opportunities to address consumer challenges accessing online health information. However, it is essential to understand how users’ perceptions of voice affect their search processes for health information, concerns, and different scenarios for using voice for health information tasks. We conducted semi-structured interviews with 16 younger (18-25) and older (60-64) adult participants to understand and compare their perceptions of using voice and text-based search for non-health-related and health related tasks. While most participants preferred traditional text search, younger adults were not inclined to use voice search for health information due to concerns about privacy, credibility, and perceived efficiency in filtering results. Older adults found voice search potentially beneficial for reducing manual query generation burdens; however, some were unsure of how to use the technology effectively. We provide a set of considerations to address concerns about voice search for health information tasks in the future
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    Designing an Adaptive Web Navigation Interface for Users with Variable Pointing Performance
    (ACM, 2018-04) Martin-Hammond, Aqueasha; Hamidi, Foad; Bhalerao, Tejas; Ortega, Christian; Ali, Abdullah; Hornback, Catherine; Means, Casey; Hurst, Amy; Human-Centered Computing, School of Informatics and Computing
    Many online services and products require users to point and interact with user interface elements. For individuals who experience variable pointing ability due to physical impairments, environmental issues or age, using an input device (e.g., a computer mouse) to select elements on a website can be difficult. Adaptive user interfaces dynamically change their functionality in response to user behavior. They can support individuals with variable pointing abilities by 1) adapting dynamically to make element selection easier when a user is experiencing pointing difficulties, and 2) informing users about these pointing errors. While adaptive interfaces are increasingly prevalent on the Web, little is known about the preferences and expectations of users with variable pointing abilities and how to design systems that dynamically support them given these preferences. We conducted an investigation with 27 individuals who intermittently experience pointing problems to inform the design of an adaptive interface for web navigation. We used a functional high-fidelity prototype as a probe to gather information about user preferences and expectations. Our participants expected the system to recognize and integrate their preferences for how pointing tasks were carried out, preferred to receive information about system functionality and wanted to be in control of the interaction. We used findings from the study to inform the design of an adaptive Web navigation interface, PINATA that tracks user pointing performance over time and provides dynamic notifications and assistance tailored to their specifications. Our work contributes to a better understanding of users' preferences and expectations of the design of an adaptive pointing system.
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    Designing Conversational Assistants to Support Older Adults’ Personal Health Record Access
    (Springer, 2022) Karimi, Pegah; Ballard, Kallista; Vazirani, Pooja; Jorigay, Ravi Teja Narasimha; Martin-Hammond, Aqueasha; Human-Centered Computing, Luddy School of Informatics, Computing, and Engineering
    Older adults often rely on information provided during doctors’ visits or online to manage their health but can experience challenges accessing this information at home. Recently, conversational assistants are being explored to aid navigation of health information included in online portals, but we still know little about users’ perceptions of using these tools for managing personal health information. In this paper, we conducted a wizard-of-oz study to better understand older adults’ perceptions of a conversational assistant, MIHA, to help with navigating personal health information. Participants saw value in using a tool such as MIHA to help facilitate access to their personal health information and to help them become more engaged in their health. Participants believed MIHA’s features helped build confidence in the responses returned, but made suggestions for improving the interactions. We share insights of potential uses and design implications for conversational assistants that help older adults navigate personal health information.
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    Designing Intelligent Assistants to Support Older Adults' Personal Health Information Management at Home
    (2024-11) Karimi, Pegah; Martin-Hammond, Aqueasha; Bolchini, Davide; Brady, Erin; Chakraborty, Sunandan; Brewer, Robin
    Recalling and managing health information tasks at home is crucial for older adults who seek independent living. However, organizing and handling large amounts of information can be challenging, particularly when coordinating with caregivers. The range of tasks involved in health information management encompass accessing doctors’ notes available in patients’ portals, addressing health-related queries, and scheduling reminders. These tasks often demand a substantial time commitment from both older adults and their caregivers. To tackle these challenges, intelligent assistants (IAs), such as advanced voice solutions, have emerged. These solutions acknowledge the complexities inherent in health information management, offering features like voice transcription to generate encounter notes from patient-physician conversations or conversational technologies, such as voice input, to streamline health management tasks. Research indicates that these systems hold promise for empowering older adults to independently oversee their health, alleviating some of the burdens on caregivers and minimizing the need for frequent doctor follow-ups. Yet, we are still learning about older adults’ needs and expectations for intelligent assistants that support their personal health information management at home. To address older adults’ broader needs for health information support, I performed four qualitative studies and designed prototypes. These studies aim to uncover older adults’ needs and beliefs about IAs that support organizing and recalling medical instructions provided during doctors’ visits and receiving tailored answers to health-related questions once at home. I identified overlap in older adult and caregiver perceptions of supportive and threatening interactions in care relationships and of emerging IAs designed to support health information management practices. Based on the findings, I generated design implications that led to the development of a high-fidelity prototype. The prototype includes automated and non-automated features for an IA that support older adults’ health information management once at home.
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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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    Examining Identity as a Variable of Health Technology Research for Older Adults: A Systematic Review
    (ACM, 2022) Harrington, Christina N.; Martin-Hammond, Aqueasha; Bray, Kirsten; Human-Centered Computing, Luddy School of Informatics, Computing, and Engineering
    Innovations in HCI research of health-related pervasive and ubiquitous technologies can potentially improve older adults’ access to healthcare resources and support long-term independence in the home. Despite efforts to include their voices in technology research and design, many older adults have yet to actualize these health benefits, with barriers of access and proficiency actually widening the gap of health inequities. We reviewed 174 HCI publications through a systematic review to examine who is engaged in the design of health technologies for older adults, methods used to engage them, and how different types of participation might impact design directions. Findings highlight that thus far, many identity dimensions have not been explored in HCI aging research. We identify research gaps and implications to promote expanding research engagement with these dimensions as a way to support the design of health technologies that see better adoption among marginalized populations.
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