Cecilia Ovesdotter Alm

University of Illinois Urbana-Champaign, Rochester Institute of Technology

Papers

Total Citations

H-Index

About

Cecilia Ovesdotter Alm is a leading researcher in natural language processing (NLP) and human-robot interaction (HRI), with a particular focus on inclusive and accessible technology. Her work bridges computational linguistics, cognitive science, and human-centered AI, exploring how language and visual information interact in human communication. In her influential paper "Words and Pictures: Categories, Modifiers, Depiction, and Iconography" (2009, 12 citations), Alm examined how people describe and categorize visual content, laying groundwork for multimodal AI systems that understand both text and imagery. More recently, her groundbreaking study "Understanding Differences in Human-Robot Teaming Dynamics between Deaf/Hard of Hearing and Hearing Individuals" (2023, 2 citations) addresses a critical gap in robotics research by investigating how collaborative robots (cobots) interact with diverse user populations. This work highlights Alm's commitment to designing technology that serves all users, including those with hearing differences. Her research has significant implications for manufacturing, assistive technology, and human-AI collaboration, demonstrating that effective human-robot teams must account for varied communication modalities and user needs.