| Title |
PLAViMoP: How to standardize and simplify the use of point-light displays
|
|---|---|
| Published in |
Behavior Research Methods, September 2018
|
| DOI | 10.3758/s13428-018-1112-x |
| Pubmed ID | |
| Authors |
Arnaud Decatoire, Sophie-Anne Beauprez, Jean Pylouster, Patrick Lacouture, Yannick Blandin, Christel Bidet-Ildei |
| Abstract |
The study of biological point-light displays (PLDs) has fascinated researchers for more than 40 years. However, the mechanisms underlying PLD perception remain unclear, partly due to difficulties with precisely controlling and transforming PLD sequences. Furthermore, little agreement exists regarding how transformations are performed. This article introduces a new free-access program called PLAViMoP (Point-Light Display Visualization and Modification Platform) and presents the algorithms for PLD transformations actually included in the software. PLAViMoP fulfills two objectives. First, it standardizes and makes clear many classical spatial and kinematic transformations described in the PLD literature. Furthermore, given its optimized interface, PLAViMOP makes these transformations easy and fast to achieve. Overall, PLAViMoP could directly help scientists avoid technical difficulties and make possible the use of PLDs for nonacademic applications. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 15% |
| Student > Master | 3 | 11% |
| Lecturer | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 30% |
| Neuroscience | 3 | 11% |
| Engineering | 2 | 7% |
| Computer Science | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 September 2018.
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#22,767,715
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Outputs from Behavior Research Methods
#2,100
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Outputs of similar age
#302,338
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Outputs of similar age from Behavior Research Methods
#48
of 53 outputs
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