Browsing by Author "Bonilla, Karen"

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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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    Older Adults’ Perceptions of Intelligent Voice Assistant Privacy, Transparency, and Online Privacy Guidelines
    (2020) Bonilla, Karen; Martin-Hammond, Aqueasha; Human-Centered Computing, School of Informatics and Computing
    The significant increase in the availability of intelligent virtual assistants (IVA) such as Amazon Alexa or Google Home provides a potential array of benefits to the daily life of older adult consumers; however, this increased consumption has also given rise to fears concerning privacy and security thereby limiting use by some groups. Our investigation explores older adults’ experiences and understanding of intelligent voice assistants. In a pilot study, we conducted semi-structured interviews with seven older adults to identify their understanding of IVAs and any concerns. We found that knowledge of IVA privacy practices, data use and management are key concerns for older adults. Additionally, while online privacy guidelines exist to help mitigate user concerns and address questions, many older adults in our study were unaware that these resources exist and felt that while useful they needed improvement to help older adults better navigate privacy control. Our findings suggest that to aid adoption, it is important to address older adults' concerns about privacy, data management, and how IVAs work. Therefore, our findings have the potential to inform the design and presentation privacy guidelines in the future.