Print Email Facebook Twitter Haptic training Title Haptic training: Which types facilitate (re)learning of which motor task and for whom Answers by a review Author Basalp, Ekin (ETH Zürich) Wolf, Peter (ETH Zürich) Marchal Crespo, L. (TU Delft Human-Robot Interaction) Date 2021 Abstract The use of robots has attracted researchers to design numerous haptic training methods to support motor learning. However, investigations of new methods yielded inconclusive results regarding their effectiveness to enhance learning due to the diversity of tasks, haptic designs, participants skill level, and study protocols. In this review, we developed a taxonomy to identify generalizable findings out of publications on haptic training. In the taxonomy, we grouped the results of studies on healthy learners based on participants skill level and tasks characteristics. Our inspection of included studies revealed that: i) Performance-enhancing haptic methods were beneficial for novices, ii) Training with haptics was as effective as training with other feedback modalities, and iii) Performance-enhancing and performance-degrading haptic methods were useful for the learning of temporal and spatial aspects, respectively. We also observed that these findings are in line with results from robot-aided neurorehabilitation studies on patients. Our review suggests that haptic training can be effective to foster learning, especially when the information cannot be provided with other feedback modalities. We believe the findings from the taxonomy constitute a general guide, which can assist researchers when designing studies to investigate the effectiveness of haptics on learning different tasks. Subject augmented haptic feedbackHaptic interfacesmotor learning and neurorehabilitationmotor task classificationRobot sensing systemsrobot-assisted trainingRobotsskill levelTask analysisTaxonomytaxonomyTrainingVisualization To reference this document use: http://resolver.tudelft.nl/uuid:3dc25a8f-f86b-4b9c-8e51-af3f5263ae99 DOI https://doi.org/10.1109/TOH.2021.3104518 ISSN 1939-1412 Source IEEE Transactions on Haptics, 14 (4), 722-739 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type review Rights © 2021 Ekin Basalp, Peter Wolf, L. Marchal Crespo Files PDF Haptic_training_Which_typ ... view_1.pdf 1.23 MB Close viewer /islandora/object/uuid:3dc25a8f-f86b-4b9c-8e51-af3f5263ae99/datastream/OBJ/view