Data

Aesthetic value of the Great Barrier Reef 2017 - data collection (NESP TWQ 3.2.3, Griffith Institute for Tourism Research)

eAtlas
Becken, Susanne ; Connolly, Rod ; Stantic, Bela ; Scott, Noel ; Mandal, Ranju ; Le, Dung
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://eatlas.org.au/data/uuid/b6d7dd10-da27-43da-a923-353d47782854&rft.title=Aesthetic value of the Great Barrier Reef 2017 - data collection (NESP TWQ 3.2.3, Griffith Institute for Tourism Research)&rft.identifier=https://eatlas.org.au/data/uuid/b6d7dd10-da27-43da-a923-353d47782854&rft.description=This 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. The second stream is related to the development of an Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes. Due to differences in data collection and data analysis, details of research methods used for each research stream are described in three separated data records.This record that describes the common elements and goals of the three parts to the research. Within these research streams, three datasets were developed. These include: Eye tracking - containing the outcome documents of eye-tracking experiment conducted within the project framework Online survey - includes a survey format document and three subfolders showing how each section of the survey was designed and outcome of each section (i.e. conjoint analysis, picture rating and open question) Algorithm data reflecting how a computer-based system for automated assessment of image attractiveness is developedFormat and methods:The project dataset has multiple parts containing data of different formats and methods. Details of each dataset are discussed in the corresponding data records.Data Dictionary:See data dictionaries in the following data report forms:Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.References:Further information can be found in the following publication:Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Monitoring aesthetic value of the Great Barrier Reef by using innovative technologies and artificial intelligence, Griffith Institute for Tourism Research Report No 15.Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.Data Location:This dataset is filed in the eAtlas enduring data repository at: dataesp3\3.2.3_Aesthetic-Values-GBR&rft.creator=Becken, Susanne &rft.creator=Connolly, Rod &rft.creator=Stantic, Bela &rft.creator=Scott, Noel &rft.creator=Mandal, Ranju &rft.creator=Le, Dung &rft.date=2019&rft.coverage=-24.521484375,151.083984375 -24.521484375,153.80859375 -20.830078125,153.45703124999997 -17.490234374999986,147.12890625 -13.798828125,145.810546875 -12.83203125,144.4921875 -9.84375,144.228515625 -9.931640625,142.119140625 -11.77734375,142.3828125 -14.765625,143.61328125000003 -14.94140625,144.755859375 -19.599609375,146.337890625 -21.005859375,148.447265625 -24.521484375,151.083984375&rft_rights=Creative Commons Attribution 3.0 Australia License http://creativecommons.org/licenses/by/3.0/au/&rft_subject=biota&rft.type=dataset&rft.language=English Access the data
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Licence & Rights:

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Creative Commons Attribution 3.0 Australia License
http://creativecommons.org/licenses/by/3.0/au/

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Full description

This 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. The second stream is related to the development of an Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes. Due to differences in data collection and data analysis, details of research methods used for each research stream are described in three separated data records.

This record that describes the common elements and goals of the three parts to the research.

Within these research streams, three datasets were developed. These include:
Eye tracking - containing the outcome documents of eye-tracking experiment conducted within the project framework
Online survey - includes a survey format document and three subfolders showing how each section of the survey was designed and outcome of each section (i.e. conjoint analysis, picture rating and open question)
Algorithm data reflecting how a computer-based system for automated assessment of image attractiveness is developed


Format and methods:

The project dataset has multiple parts containing data of different formats and methods. Details of each dataset are discussed in the corresponding data records.

Data Dictionary:

See data dictionaries in the following data report forms:
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.


References:
Further information can be found in the following publication:

Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Monitoring aesthetic value of the Great Barrier Reef by using innovative technologies and artificial intelligence, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.


Data Location:

This dataset is filed in the eAtlas enduring data repository at: data
esp3\3.2.3_Aesthetic-Values-GBR

Created: 28 01 2019

Data time period: 1987 to 30 11 2013

This dataset is part of a larger collection

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Subjects
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Other Information
NESP TWQ Project page

url : https://nesptropical.edu.au/index.php/round-3-projects/project-3-2-3/

eAtlas Web Mapping Service (WMS) (AIMS)

url : https://eatlas.org.au/data/uuid/71127e4d-9f14-4c57-9845-1dce0b541d8d

Project web site

url : https://eatlas.org.au/nesp-twq-3/aesthetic-value-gbr-3-2-3

Photo + Metadata [Zip 959 kB]

url : https://nextcloud.eatlas.org.au/apps/sharealias/a/au-nesp-twq-3-2-3-gu-aesthetic-values-gbr

Online Survey Data for the 2017 Aesthetic Value Project

url : https://eatlas.org.au/data/uuid/595f79c7-b553-4aab-9ad8-42c092508f81

Eye-tracking data of the 2017 Aesthetic Value Project

url : https://eatlas.org.au/data/uuid/8551d5e2-2387-4a79-806f-c9a51e0e694c

Algorithm data for the 2017 aesthetic value project

url : https://eatlas.org.au/data/uuid/a1d03d57-ab56-4032-b121-32e981524270

global : 90381c41-d660-4dc5-8921-261ef3b79359

ror : 02sc3r913

ror : 02sc3r913

ror : 02sc3r913

ror : 02sc3r913

ror : 02sc3r913

ror : 02sc3r913

ror : 02sc3r913

NESP TWQ Project 3.2.3 - Monitoring aesthetic value of the Great Barrier Reef by using artificial intelligence to score photos and videos, 2017-2018 (GU)

raid : 10.82210/1e6ba6a9

Identifiers
  • global : b6d7dd10-da27-43da-a923-353d47782854