| Title |
Investigating three types of continuous auditory feedback in visuo-manual tracking
|
|---|---|
| Published in |
Experimental Brain Research, November 2016
|
| DOI | 10.1007/s00221-016-4827-x |
| Pubmed ID | |
| Authors |
Éric O. Boyer, Frédéric Bevilacqua, Patrick Susini, Sylvain Hanneton |
| Abstract |
The use of continuous auditory feedback for motor control and learning is still understudied and deserves more attention regarding fundamental mechanisms and applications. This paper presents the results of three experiments studying the contribution of task-, error-, and user-related sonification to visuo-manual tracking and assessing its benefits on sensorimotor learning. First results show that sonification can help decreasing the tracking error, as well as increasing the energy in participant's movement. In the second experiment, when alternating feedback presence, the user-related sonification did not show feedback dependency effects, contrary to the error and task-related feedback. In the third experiment, a reduced exposure of 50% diminished the positive effect of sonification on performance, whereas the increase of the average energy with sound was still significant. In a retention test performed on the next day without auditory feedback, movement energy was still superior for the groups previously trained with the feedback. Although performance was not affected by sound, a learning effect was measurable in both sessions and the user-related group improved its performance also in the retention test. These results confirm that a continuous auditory feedback can be beneficial for movement training and also show an interesting effect of sonification on movement energy. User-related sonification can prevent feedback dependency and increase retention. Consequently, sonification of the user's own motion appears as a promising solution to support movement learning with interactive feedback. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 33% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Researcher | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 15% |
| Neuroscience | 6 | 13% |
| Sports and Recreations | 5 | 10% |
| Computer Science | 4 | 8% |
| Engineering | 2 | 4% |
| Other | 13 | 27% |
| Unknown | 11 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2016.
All research outputs
#13,790,479
of 22,903,988 outputs
Outputs from Experimental Brain Research
#1,670
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Outputs of similar age
#213,951
of 417,510 outputs
Outputs of similar age from Experimental Brain Research
#36
of 59 outputs
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