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

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

本数据集源自两项相互关联的研究方向。第一项研究方向聚焦于眼动追踪技术与在线调查在自然美学研究中的应用；第二项研究方向则围绕基于人工智能（Artificial Intelligence）的自然场景美感识别与评估系统开发展开。由于两项研究在数据采集与数据分析环节存在差异，各自的研究方法细节已分别收录于三份独立的数据记录中。

本记录旨在阐述该研究三项组成部分的共性要素与研究目标。

在上述研究过程中，共生成三类数据集，具体如下：
1. 眼动追踪数据集：包含本项目框架内开展的眼动追踪实验相关成果文档；
2. 在线调查数据集：涵盖调查问卷格式文档，以及三个子文件夹，分别展示调查问卷各模块的设计方案与对应模块的调查结果（即联合分析、图片评分与开放式问题）；
3. 算法数据集：反映用于自动化评估图像美感的计算机系统的开发过程。

格式与方法：
本项目数据集包含多个子部分，涵盖不同格式与类型的数据。各数据集的详细说明已在对应的数据记录中展开论述。

数据字典：
相关数据字典可参见下述三份研究报告：
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《眼动追踪数据报告表》，格里菲斯旅游研究所研究报告第15号；
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《在线调查数据报告表》，格里菲斯旅游研究所研究报告第15号；
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《算法数据报告表》，格里菲斯旅游研究所研究报告第15号。

参考文献：
更多相关信息可参阅下述出版物：
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《基于创新技术与人工智能监测大堡礁美学价值》，格里菲斯旅游研究所研究报告第15号；
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《眼动追踪数据报告表》，格里菲斯旅游研究所研究报告第15号；
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《在线调查数据报告表》，格里菲斯旅游研究所研究报告第15号；
Becken, S.、Connolly R.、Stantic B.、Scott N.、Mandal R.、Le D.（2018），《算法数据报告表》，格里菲斯旅游研究所研究报告第15号。

数据存储位置：
本数据集存储于eAtlas永久数据仓库中，路径为：data
esp33.2.3_Aesthetic-Values-GBR