Examining the association between users creative thinking and field dependence-independence cognitive style through eye movement components

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

1 Citation (Scopus)

Abstract

This eye tracking study investigated the association between individuals' field dependence - independence cognitive style and level of creative thinking based on users' eye movement behaviour while interacting with a set of visual perceptual tasks. Subjects FD-I cognitive style and creativity were measured with the use of the Hidden Figures Test (HFT) and Torrance Test of Creative Thinking (TTCT). The psychometric methods and the eye tracking-derived data were statistically examined demonstrating a relationship between users' cognitive style, creativity attributes and eye gaze behaviour. This research study adds further to the evidence and theory base of Human-computer interaction for applications in the user-centred design and suggests future directions for research.

Original languageEnglish
Title of host publicationC and C 2015 - Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition
PublisherAssociation for Computing Machinery, Inc
Pages205-208
Number of pages4
ISBN (Electronic)9781450335980
DOIs
Publication statusPublished - 22 Jun 2015
Externally publishedYes
EventACM SIGCHI Conference on Creativity and Cognition, C and C 2015 - Glasgow, United Kingdom
Duration: 22 Jun 201525 Jun 2015

Conference

ConferenceACM SIGCHI Conference on Creativity and Cognition, C and C 2015
CountryUnited Kingdom
CityGlasgow
Period22/06/1525/06/15

Keywords

  • Eye gaze
  • Eye-tracking
  • Field dependence-independence
  • Hidden Figures Test
  • Torrance Test of Creative Thinking
  • Visual stimuli

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  • Cite this

    Nisiforou, E. A. (2015). Examining the association between users creative thinking and field dependence-independence cognitive style through eye movement components. In C and C 2015 - Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition (pp. 205-208). Association for Computing Machinery, Inc. https://doi.org/10.1145/2757226.2764556