Julia Geerts
Papers
1
Total Citations
20
H-Index
1
About
Dr. Julia Geerts is a pioneering researcher at the intersection of human-robot interaction and organizational creativity, whose work challenges conventional assumptions about collaborative innovation. Her most-cited study, "Brainstorming With a Social Robot Facilitator: Better Than Human Facilitation Due to Reduced Evaluation Apprehension?" (2021, 20 citations), represents a breakthrough in understanding how social robots can enhance creative processes. Geerts demonstrated that robot facilitators can actually outperform human facilitators in brainstorming sessions by reducing participants' evaluation apprehension—the fear of negative judgment that often stifles creative output. This counterintuitive finding has significant implications for both workplace innovation and the design of collaborative AI systems. Her research bridges social psychology, robotics, and innovation management, showing how the perceived non-judgmental nature of robots can unlock human creative potential. While her citation count is still growing, the conceptual impact of her work is substantial, opening new avenues for studying human-machine creative partnerships. Geerts’ findings are particularly relevant for organizations seeking to optimize ideation processes and for robotics designers aiming to create more effective collaborative agents. Her work represents an important step toward understanding when and why machines may be preferable to human collaborators in specific creative contexts.
Research Focus
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Top Papers
- 1