1. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. Subsets of the images involved in the eye-tracking experiments: (a) LC and LS datasets and (b) RS dataset. LC (also named as complete LIVE dataset) is based on the entire 29 original images of the LIVE database; 40 LS (also named as LIVE subset dataset) is based on six original images chosen from the LIVE database; and RS [also named as region of interest (ROI) image set] is based on 40 original images with clear region of interest. 31 Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

2. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. An overview of the similarity analysis for all tested subsets using all four similarity measures [i.e., (a) SSIM, (b) NSS, (c) LCC, and (d) KLD]; the green line (with circles) represents the similarity limit based on the reference data, while the blue line (with diamonds) represents the similarity of the test data with the reference data. Higher values represent the higher similarity except for the KLD where the reverse is true. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

3. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. Similarity analysis [based on (a) SSIM and (b) NSS] of test conditions for which only quality of the images (Test-Data-3 and Test- Data-7) or viewing task (Test-Data-8 and Test-Data-9) was changed when collecting the visual attention data. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

4. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. Similarity analysis [based on (a) SSIM and (b) NSS] of the Test-Datasets obtained by varying both task and quality level in the experimental conditions. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

5. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. Similarity analysis [based on (a) SSIM and (b) NSS] of the LS Test-Datasets using NSS and SSIM. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

6. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. Difference in saliency maps between free looking and scoring tasks in the (a) RS dataset and (b) LS dataset. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

7. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. The percentage of fixations in the ROI for the images in the RS dataset for both the scoring and free viewing tasks. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030

8. Date of download: 7/3/2016 Copyright © 2016 SPIE. All rights reserved. The percentage of fixations in the ROI for the images in the LS dataset for both the scoring and free viewing tasks. The error bars indicate the 95% confidence interval. Figure Legend: From: Effects of task and image properties on visual-attention deployment in image-quality assessment J. Electron. Imaging. 2015;24(2):023030. doi:10.1117/1.JEI.24.2.023030