NESP TWQ Round 3 - Project 3.2.3 - Monitoring aesthetic value of the GBR by using artificial intelligence to score photos and videos

This project addresses the urgent need to understand and monitor the aesthetic value of the Great Barrier Reef. Focusing on the fast-changing underwater systems of the Reef, this research used advanced technology (including eye tracking and heart rate measurement) to elicit what environmental and experiential attributes contribute to aesthetic value. A Big Data platform using artificial intelligence was created to assess large volumes of visitor supplied imagery and to map aesthetic value across space and time.

More details about this project can be found on the Monitoring the Great Barrier Reef Griffith Inititue for Tourism website.

This project is continuing under NESP TWQ Round 5 - Project 5.5 – Measuring aesthetic and experience values using Big Data approaches

Images

Videos

Datasets

Publication on
10 March 2021
PreviewThe second stream within the NESP 5.5 project was conducted using eye-tracking technology to examine possible differences between three participant groups in evaluating the aesthetic beauty of GBR underwater sceneries.
Publication on
10 March 2021
PreviewThe last stream within the NESP 5.5 project was related to the conduct of an online survey to get aesthetic ratings of additional 3500 images downloaded from Flickr to improve the Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes,
Publication on
28 November 2019
PreviewThis dataset resulted from two inter-linked research streams. The first stream was related to the application of eye-tracking technology and an online survey in studying natural beauty.