Isaac M. Jackson

Papers

Total Citations

H-Index

About

Isaac M. Jackson is a rising scholar in human-robot interaction and educational technology, with a focused interest in how students perceive and integrate robotic systems into academic environments. His most-cited work, "University Students’ Acceptance of a Robot Study Companion" (2025), explores the psychological and social factors that influence the adoption of autonomous study assistants in higher education. Drawing on the Technology Acceptance Model, Jackson’s research provides early empirical evidence that students’ trust, perceived usefulness, and social presence significantly shape their willingness to engage with robotic companions for learning. Though his citation count is currently modest—with one citation to his flagship paper—his work is positioned at the intersection of robotics, education, and human factors, contributing to the foundational understanding of how non-human agents can support self-regulated study. Jackson’s research is particularly notable for its timely relevance as universities increasingly experiment with AI-driven tools to enhance student outcomes. His findings offer practical insights for designers and educators seeking to create more effective and accepted robotic learning aids. As the field of educational robotics expands, Jackson’s contributions are likely to gain traction among researchers exploring the human side of human-robot collaboration in academic settings.