France Jackson

Papers

Total Citations

H-Index

About

France Jackson is a pioneering researcher in the emerging field of cooperative brain-robot interaction (CBRI), with a primary focus on user experience (UX) evaluation. Her seminal 2015 paper, "User Experience Evaluation Towards Cooperative Brain-Robot Interaction," lays the groundwork for understanding how humans perceive and interact with robotic systems controlled by neural signals. Jackson's work bridges cognitive neuroscience and human-robot collaboration, emphasizing the critical role of user satisfaction, trust, and cognitive load in designing intuitive brain-computer interfaces (BCIs). By integrating qualitative UX metrics with quantitative neural data, she has advanced methodologies for assessing real-time cooperative tasks between humans and robots. Although her most-cited work has garnered 4 citations, its influence is growing among researchers exploring human-centered BCI design. Jackson's contributions are particularly notable for shifting the focus from purely technical BCI performance to the human experience, a perspective vital for developing accessible assistive technologies. Her research continues to inspire new frameworks for evaluating how users adapt to and collaborate with intelligent robotic systems, marking her as an emerging voice in the intersection of UX and neural engineering.