1,174
Views
22
CrossRef citations to date
0
Altmetric
Current Issues in Method and Practice

Measuring perceived beauty of the Great Barrier Reef using eye-tracking technology

ORCID Icon, , &
Pages 2492-2502 | Received 04 May 2018, Accepted 28 May 2019, Published online: 18 Jul 2019
 

ABSTRACT

The purpose of this research is to test the usefulness of eye-tracking in measuring the perceived beauty of photos of the Great Barrier Reef. Eye-tracking is used to measure visual attention (fixation count, fixation duration) to 21 photos ranked in the degree of perceived beauty. Results indicate significant differences in visual attention to ‘beautiful’ and ‘ugly’ photos and a significant correlation between average perceived beauty and attention measures. This study provides evidence that eye-tracking can be used to measure the relative perceived beauty of natural images reflecting the attention given to ‘attractive’ images.

Acknowledgement

This study was conducted within a NESP-Tropical Water Quality Hub project (3.2.3) on the ‘Monitoring aesthetic value of the Great Barrier Reef by using artificial intelligence to score photos and videos’.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by National Environment Science Program Tropical Water Quality Hub [grant number NESP-Tropical Water Quality Hub project (3.2.3)].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 273.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.