Haptic Training: Which Types Facilitate (re)Learning of Which Motor Task and for Whom? Answers by a Review

Basalp, Ekin; Wolf, Peter; Marchal Crespo, Laura (2021). Haptic Training: Which Types Facilitate (re)Learning of Which Motor Task and for Whom? Answers by a Review. IEEE transactions on haptics, 14(4), pp. 722-739. IEEE 10.1109/TOH.2021.3104518

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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 robotaided 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.

Item Type:

Journal Article (Review Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

UniBE Contributor:

Marchal Crespo, Laura

Subjects:

600 Technology > 620 Engineering

ISSN:

1939-1412

Publisher:

IEEE

Language:

English

Submitter:

Aileen Charlotte Naef

Date Deposited:

18 Jan 2022 17:42

Last Modified:

05 Dec 2022 16:03

Publisher DOI:

10.1109/TOH.2021.3104518

PubMed ID:

34388095

Uncontrolled Keywords:

Augmented haptic feedback, motor learning and neurorehabilitation, motor task classification, robot-assisted training, skill level, taxonomy

BORIS DOI:

10.48350/164363

URI:

https://boris.unibe.ch/id/eprint/164363

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