This article is a correction to:
How Do We Recognize Emotion From Movement? Specific Motor Components Contribute to the Recognition of Each Emotion
Ayelet Melzer
Tal Shafir
Rachelle Palnick Tsachor- 1Faculty of Social Welfare and Health Sciences, The Graduate School of Creative Arts Therapies, University of Haifa, Haifa, Israel
- 2The Emili Sagol Creative Arts Therapies Research Center, University of Haifa, Haifa, Israel
- 3School of Theater and Music, University of Illinois at Chicago, Chicago, IL, United States
A Corrigendum on
How Do We Recognize Emotion From Movement? Specific Motor Components Contribute to the Recognition of Each Emotion
by Melzer, A., Shafir, T., and Tsachor, R. P. (2019). Front. Psychol. 10:1389. doi: 10.3389/fpsyg.2019.01389
In the original article, there was a mistake in Figure 3 and Figure 4 as published. Figure 3 was mistakenly published attached to the figure legend of Figure 4, while Figure 4 was mistakenly put together with the figure legend for Figure 3. The corrected Figure 3 and Figure 4 appear below.
FIGURE 3
Figure 3. This figure shows the Comparison between the Unbiased Hit Rate and the Chance Proportion, i.e., the hit rate that would have been expected by chance. Unbiased Hit Rate is colored with a full color, and the chance proportion is marked with dots. Each emotion is represented by a different color: Yellow for happiness, blue for sadness, green for fear, red for anger. Hit Rate mean is represented by the bar's height and standard deviation by the black brackets. The Significance level is marked: +0.05 < p < 0.06, *p < 0.05, **p < 0.01, ***p < 0.001.
FIGURE 4
Figure 4. This shows the Comparison between the percent of correct emotion recognition from the Laban stimuli to those from Atkinson's validated clips. The Laban recognition level is colored with a full color, and Atkinsons' validated clips are marked with vertical lines. Each emotion is represented by a different color: Yellow for happiness, blue for sadness, green for fear, red for anger, and white for the neutral emotion. The entire sample is marked orange. Accuracy mean is represented by the bar's height and standard deviation by the black brackets. The significance level is marked: +0.05 < p < 0.06, *p < 0.05, **p < 0.01, ***p < 0.001.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: emotion recognition, Laban movement analysis, motor, emotion, movement, bodily emotional expressions, dance-movement therapy
Citation: Melzer A, Shafir T and Tsachor RP (2020) Corrigendum: How Do We Recognize Emotion From Movement? Specific Motor Components Contribute to the Recognition of Each Emotion. Front. Psychol. 11:184. doi: 10.3389/fpsyg.2020.00184
Received: 25 January 2020; Accepted: 27 January 2020;
Published: 18 February 2020.
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Copyright © 2020 Melzer, Shafir and Tsachor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tal Shafir, gahl@umich.edu