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Identifying factors influencing the outcome of BCI-based post stroke motor rehabilitation towards its personalization with Artificial Intelligence., , and . MetroXRAINE, page 151-156. IEEE, (2022)Prospective Memory Training Using the Nao Robot in People with Dementia., and . HAR, volume 14522 of Lecture Notes in Computer Science, page 281-295. Springer, (2023)Technologies to Support Self-determination for People with Intellectual Disability and ASD., , and . HAR, volume 14522 of Lecture Notes in Computer Science, page 19-35. Springer, (2023)Towards a Cognitive Model of MI-BCI User Training., , and . GBCIC, Verlag der Technischen Universitaet Graz, (2017)Assessing the Impact of Automatic vs. Controlled Rotations on Spatial Transfer with a Joystick and a Walking Interface in VR., , , , , , , and . INTERACT (1), volume 8117 of Lecture Notes in Computer Science, page 1-18. Springer, (2013)Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces., , , , and . CoRR, (2019)Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study., , , and . SMC, page 3664-3669. IEEE, (2016)Peanut: Personalised Emotional Agent for Neurotechnology User-Training., , , , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2017)Brain computer interface vs walking interface in VR: the impact of motor activity on spatial transfer., , , , , and . VRST, page 113-120. ACM, (2012)Would Motor-Imagery based BCI user training benefit from more women experimenters?, , , and . GBCIC, Verlag der Technischen Universitaet Graz, (2019)