Predicting human creativity perception

Paulo Pires, Roberto Henriques

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 8th Iberian Conference on Information Systems and Technologies, CISTI 2013
Publication statusPublished - 25 Nov 2013
Event8th Iberian Conference on Information Systems and Technologies, CISTI 2013 - Lisbon, Portugal
Duration: 19 Jun 201322 Jun 2013

Publication series

NameIberian Conference on Information Systems and Technologies, CISTI
ISSN (Print)2166-0727
ISSN (Electronic)2166-0735

Conference

Conference8th Iberian Conference on Information Systems and Technologies, CISTI 2013
CountryPortugal
CityLisbon
Period19/06/1322/06/13

Keywords

  • Artificial Intelligence
  • Creativity
  • Data Mining
  • Visual Arts

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  • Cite this

    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).