Haptic Intelligence

Comparison of Human Trimanual Performance Between Independent and Dependent Multiple-Limb Training Modes

2022

Conference Paper

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Human movement augmentation with a third robotic hand can extend human capability allowing a single user to perform three-hand tasks that would typically require cooperation with other people. However, as trimanual control is not typical in everyday activities, it is still unknown how to train people to acquire this capability efficiently. We conducted an experimental study to evaluate two different trimanual training modes with 24 subjects. This investigated how the different modes impact the transfer of learning of the acquired trimanual capability to another task. Two groups of twelve subjects were each trained in virtual reality for five weeks using either independent or dependent trimanual task repetitions. The training was evaluated by comparing performance before and after training in a gamified trimanual task. The results show that both groups of subjects improved their trimanual capabilities after training. However, this improvement appeared independent of training scheme.

Author(s): Arnaud Allemang–Trivalle and Jonathan Eden and Yanpei Huang and Ekaterina Ivanova and Etienne Burdet
Book Title: Proceedings of the IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)
Year: 2022
Month: August
Department(s): Haptic Intelligence
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference
DOI: 10.1109/BioRob52689.2022.9925417
Address: Seoul, Korea
State: Published

BibTex 

@inproceedings{AllemangTrivalle22-BR-Comparison,
  title = {Comparison of Human Trimanual Performance Between Independent and Dependent Multiple-Limb Training Modes},
  author = {Allemang--Trivalle, Arnaud and Eden, Jonathan and Huang, Yanpei and Ivanova, Ekaterina and Burdet, Etienne},
  booktitle = {Proceedings of the IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)},
  address = {Seoul, Korea},
  month = aug,
  year = {2022},
  doi = {10.1109/BioRob52689.2022.9925417},
  month_numeric = {8}
}