Tara O’Neill
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Indian School of Business (2002); Google (United States) (2013); Pennsylvania State University (2013–2020); Indianapolis Zoo (2002); Misericordia University (2019); Camden and Islington NHS Foundation Trust (2004–2010)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Tara O’Neill's research focuses on the application of artificial intelligence to enhance communication tools for individuals with disabilities. Her recent work explores the use of generative AI to automate the programming of visual scene displays, a type of augmentative and alternative communication (AAC) system. This approach aims to provide more responsive and personalized communication support.
O’Neill has published 18 works that have garnered 744 citations, reflecting an h-index of 8. She is an Assistant Professor at the University of Arkansas at Fayetteville. Her scholarly network includes collaborators such as Elizabeth R. Lorah and Christine Holyfield, with whom she shares multiple publications, indicating active engagement within her research community.
Metrics
- h-index: 8
- Publications: 18
- Citations: 753
Selected Publications
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Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays (2024)
Collaboration Network
Top Collaborators
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
- Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
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