2023
Journal Articles
1.
Ivanova, Ekaterina; Peña-Pérez, Nuria; Eden, Jonathan; Yip, Yammi; Burdet, Etienne
Dissociating haptic feedback from physical assistance does not improve motor performance Journal Article
In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2023, pp. 1–5, 2023, ISSN: 2694-0604.
Abstract | Links | BibTeX | Tags: Feedback, Haptic Technology, Humans, Learning, Sensory, Sports
@article{ivanova_dissociating_2023,
title = {Dissociating haptic feedback from physical assistance does not improve motor performance},
author = { Ekaterina Ivanova and Nuria Peña-Pérez and Jonathan Eden and Yammi Yip and Etienne Burdet},
doi = {10.1109/EMBC40787.2023.10340983},
issn = {2694-0604},
year = {2023},
date = {2023-07-01},
journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
volume = {2023},
pages = {1–5},
abstract = {In robots for motor rehabilitation and sports training, haptic assistance typically provides both mechanical guidance and task-relevant information. With the natural human tendency to minimise metabolic cost, mechanical guidance may however prevent efficient short term learning and retention. In this work, we explore the effect of providing haptic feedback to the not active hand during a tracking task. We test four types of haptic feedback: task- or error-related information, no information and irrelevant information. The results show that feedback provided to the hand not carrying out the tracking task did not improve task performance. However, irrelevant information to the task worsened performance, and negatively influenced the participants' perception of helpfulness, assistance, likability and predictability.},
keywords = {Feedback, Haptic Technology, Humans, Learning, Sensory, Sports},
pubstate = {published},
tppubtype = {article}
}
In robots for motor rehabilitation and sports training, haptic assistance typically provides both mechanical guidance and task-relevant information. With the natural human tendency to minimise metabolic cost, mechanical guidance may however prevent efficient short term learning and retention. In this work, we explore the effect of providing haptic feedback to the not active hand during a tracking task. We test four types of haptic feedback: task- or error-related information, no information and irrelevant information. The results show that feedback provided to the hand not carrying out the tracking task did not improve task performance. However, irrelevant information to the task worsened performance, and negatively influenced the participants' perception of helpfulness, assistance, likability and predictability.