Jari Takatalo

Papers

Total Citations

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About

Jari Takatalo is a pioneering researcher at the intersection of sports science, human-computer interaction, and cognitive psychology. His work centers on how digital technologies can enhance mental preparation and performance in athletic contexts, with a particular focus on the emerging field of computer-aided imagery (CAI). Takatalo’s major contribution lies in conceptualizing and developing CAI as a novel approach that leverages movement artificial intelligence—drawing from advances in computer animation, robotics, and machine learning—to support athletes in mental rehearsal. His 2017 paper, “Towards Computer-Aided Imagery in Sport and Exercise,” introduced this framework, arguing that while traditional imagery is a powerful but difficult cognitive skill, CAI can make it more accessible and effective. A compelling case study on indoor wall climbing (2018) demonstrated the practical application of simulated humanoid characters to guide athletes through mental practice. Though his most-cited works have garnered modest citation counts (4 each), Takatalo’s ideas represent a forward-thinking synthesis of technology and sport psychology, laying groundwork for future innovations in digital training tools. His research is particularly valuable for students and researchers exploring how AI can bridge the gap between mental and physical performance.