This Special Issue welcomes submissions that explore how AI and robotics support or transform perceptual-motor learning and performance in both formal instructional settings and real-world environments. We encourage contributions that investigate the perceptual and cognitive mechanisms through which AI or robotics facilitate skill acquisition, as well as studies that examine user motivation, engagement, and social-cognitive responses that influence learning success. Research focusing on technological design is also appropriate, particularly when linked to evidence regarding motor performance outcomes or enhanced perceptual discrimination. Finally, comprehensive reviews and syntheses that evaluate methodological issues, assess the transferability of AI and robot-assisted learning, or provide new theoretical insights into human-computer interaction in skill training are welcomed as essential contributions to shaping future research directions.
Topics of interest include, but are not limited to, the following:
Please ensure your manuscript adheres to the Submission Guidelines prior to submission.
Professor Ali Derakhshan (Golestan University, Gorgan, Iran; Yunshan Chair Professor, Guangdong University of Foreign Studies (GDUFS), Guangzhou, China): [email protected] or [email protected]
Dr. Saeed Khazaie (Isfahan University of Medical Sciences, Isfahan, Iran): [email protected] or [email protected]