Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-06

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

8 h-index 18 pubs 753 cited

  • Humans
  • Communication Devices for People with Disabilities
  • Child
  • Communication Disorders
  • Child, Preschool
  • Female
  • Male
  • Language Development
  • Family
  • Attention
  • Visual Perception
  • Cochlear Implants
  • Speech Perception
  • Adolescent
  • Adult

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

  • Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays (2024)
    4 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

6 Collaborators 3 Institutions 1 Country

Top Collaborators

View profile →
View profile →

Similar Researchers

Based on overlapping research topics