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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Eye Movement Correlates of Expertise in Visual Arts
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, March 2018
|
| DOI | 10.3389/fnhum.2018.00087 |
| Pubmed ID | |
| Authors |
Piotr Francuz, Iwo Zaniewski, Paweł Augustynowicz, Natalia Kopiś, Tomasz Jankowski |
| Abstract |
The aim of this study was to search for oculomotor correlates of expertise in visual arts, in particular with regard to paintings. Achieving this goal was possible by gathering data on eye movements of two groups of participants: experts and non-experts in visual arts who viewed and appreciated the aesthetics of paintings. In particular, we were interested in whether visual arts experts more accurately recognize a balanced composition in one of the two paintings being compared simultaneously, and whether people who correctly recognize harmonious paintings are characterized by a different visual scanning strategy than those who do not recognize them. For the purposes of this study, 25 paintings with an almost ideal balanced composition have been chosen. Some of these paintings are masterpieces of the world cultural heritage, and some of them are unknown. Using Photoshop, the artist developed three additional versions of each of these paintings, differing from the original in the degree of destruction of its harmonious composition: slight, moderate, or significant. The task of the participants was to look at all versions of the same painting in pairs (including the original) and decide which of them looked more pleasing. The study involved 23 experts in art, students of art history, art education or the Academy of Fine Arts, and 19 non-experts, students in the social sciences and the humanities. The experimental manipulation of comparing pairs of paintings, whose composition is at different levels of harmony, has proved to be an effective tool for differentiating people because of their ability to distinguish paintings with balanced composition from an unbalanced one. It turned out that this ability only partly coincides with expertise understood as the effect of education in the field of visual arts. We also found that the eye movements of people who more accurately appreciated paintings with balanced composition differ from those who more liked their altered versions due to dwell time, first and average fixation duration and number of fixations. The familiarity of paintings turned out to be the factor significantly affects both the aesthetic evaluation of paintings and eye movement. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 14% |
| Researcher | 10 | 12% |
| Student > Ph. D. Student | 9 | 11% |
| Lecturer | 7 | 9% |
| Student > Bachelor | 6 | 7% |
| Other | 20 | 25% |
| Unknown | 18 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 31% |
| Arts and Humanities | 7 | 9% |
| Social Sciences | 5 | 6% |
| Neuroscience | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 14 | 17% |
| Unknown | 22 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 18 March 2019.
All research outputs
#1,236,768
of 22,830,751 outputs
Outputs from Frontiers in Human Neuroscience
#601
of 7,153 outputs
Outputs of similar age
#30,083
of 329,645 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#15
of 145 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,153 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.