Abstract
Humans have a natural ability to haptically interact with other humans, for instance while physically assisting a child to learn how to ride a bicycle. A recent study has shown that haptic human-human interaction can improve individual motor performance and motor learning rate while learning to track a continuously moving target with a visuomotor rotation. In this work we investigated whether these benefits of haptic interaction on motor learning generalize to a task in which the interacting partners track a target while they learn novel dynamics, represented by a force field. Pairs performed the tracking task and were intermittently connected to each other through a virtual spring. Motor learning was assessed by comparing each partner’s individual performance during trials in which they were not connected to the performance of participants who learned the task alone. We found that haptic interaction through a compliant spring does not lead to improved individual motor performance or an increase in motor learning rate. Performance during interaction was significantly better than when the partners were not interacting, even when connected to a worse partner.
Original language | English |
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Title of host publication | Haptics: Science, Technology, and Applications |
Subtitle of host publication | 11th International Conference, EuroHaptics 2018, Pisa, Italy, June 13-16, 2018, Proceedings, Part I |
Editors | Domenico Prattichizzo, Hiroyuki Shinoda, Hong Z. Tan, Emanuele Ruffaldi, Antonio Frisoli |
Pages | 333-344 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-319-93445-7 |
DOIs | |
Publication status | Published - 2018 |
Event | Eurohaptics 2018 - Pisa, Italy Duration: 13 Jun 2018 → 16 Jun 2018 http://eurohaptics2018.org/ |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
Volume | 10893 |
Conference
Conference | Eurohaptics 2018 |
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Country/Territory | Italy |
City | Pisa |
Period | 13/06/18 → 16/06/18 |
Internet address |
Keywords
- Human-human interaction
- Motor learning
- Haptics
- Human-Robot Interaction (HRI)