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20232026
most citedHealthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use

38 citations · 50 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.HC2026

Beliefs and Misconceptions around Integrated Conversational AI

William Seymour, Adam Jenkins, Mark Cote +1

LLM-driven conversational AI is beginning to disappear into the background, shifting from something used directly towards something increasingly integrated into existing workflows.…

cs.HC2026

Shifting Engagement With Cybersecurity: How People Discover and Share Cybersecurity Content at Work and at Home

William Seymour, Martin J. Kraemer

Cybersecurity awareness is shaped by a wide range of professional and personal experiences, including information and training at work and the sharing of news and other content at…

cs.HC2024★ 11 cited

Speculating About Multi-user Conversational Interfaces and LLMs: What If Chatting Wasn't So Lonely?

William Seymour, Emilee Rader

The advent of LLMs means that CUIs are cool again, but what isn't so cool is that we're doomed to use them alone. The one user, one account, one device paradigm has dominated the d…

cs.HC2024★ 38 cited

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use

Xiao Zhan, Noura Abdi, William Seymour +1

AI assistants such as Alexa, Google Assistant, and Siri, are making their way into the healthcare sector, offering a convenient way for users to access different healthcare service…

cs.HC2023★ 1 cited

Voice App Developer Experiences with Alexa and Google Assistant: Juggling Risks, Liability, and Security

William Seymour, Noura Abdi, Kopo M. Ramokapane +3

Voice applications (voice apps) are a key element in Voice Assistant ecosystems such as Amazon Alexa and Google Assistant, as they provide assistants with a wide range of capabilit…