Abstract
Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic evaluation. This work aims to contribute to the understanding of the process of evaluating visual objects (with the help of human cognitive process of evaluation) in the specific area of visual arts, within computerized systems. By means of an empirical and automated approach we surveyed human subjects for the classification of the concept of creativity. Simultaneously, 804 features were extracted from around 2600 images used in order to model the human classification through an artificial neural network. This work proposes the use of classification models to understand the human creativity perception in a set of images. This is an important aspect not only to classify a product as being novel, but also to provide information about the creativity perception.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 |
| Publication status | Published - 25 Nov 2013 |
| Event | 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 - Lisbon, Portugal Duration: 19 Jun 2013 → 22 Jun 2013 |
Publication series
| Name | Iberian Conference on Information Systems and Technologies, CISTI |
|---|---|
| ISSN (Print) | 2166-0727 |
| ISSN (Electronic) | 2166-0735 |
Conference
| Conference | 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 |
|---|---|
| Country | Portugal |
| City | Lisbon |
| Period | 19/06/13 → 22/06/13 |
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Keywords
- Artificial Intelligence
- Creativity
- Data Mining
- Visual Arts
Cite this
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Predicting human creativity perception. / Pires, Paulo; Henriques, Roberto.
Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013. 2013. 6615706 (Iberian Conference on Information Systems and Technologies, CISTI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Predicting human creativity perception
AU - Pires, Paulo
AU - Henriques, Roberto
N1 - Pires, P., & Henriques, R. (2013). Predicting human creativity perception. In Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013 [6615706] (Iberian Conference on Information Systems and Technologies, CISTI).
PY - 2013/11/25
Y1 - 2013/11/25
N2 - Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic evaluation. This work aims to contribute to the understanding of the process of evaluating visual objects (with the help of human cognitive process of evaluation) in the specific area of visual arts, within computerized systems. By means of an empirical and automated approach we surveyed human subjects for the classification of the concept of creativity. Simultaneously, 804 features were extracted from around 2600 images used in order to model the human classification through an artificial neural network. This work proposes the use of classification models to understand the human creativity perception in a set of images. This is an important aspect not only to classify a product as being novel, but also to provide information about the creativity perception.
AB - Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic evaluation. This work aims to contribute to the understanding of the process of evaluating visual objects (with the help of human cognitive process of evaluation) in the specific area of visual arts, within computerized systems. By means of an empirical and automated approach we surveyed human subjects for the classification of the concept of creativity. Simultaneously, 804 features were extracted from around 2600 images used in order to model the human classification through an artificial neural network. This work proposes the use of classification models to understand the human creativity perception in a set of images. This is an important aspect not only to classify a product as being novel, but also to provide information about the creativity perception.
KW - Artificial Intelligence
KW - Creativity
KW - Data Mining
KW - Visual Arts
UR - http://www.scopus.com/inward/record.url?scp=84887895400&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789899843400
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013
ER -