{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:50:09Z","timestamp":1767423009037,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,3,14]],"date-time":"2016-03-14T00:00:00Z","timestamp":1457913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Manitoba"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,3,14]]},"DOI":"10.1145\/2857491.2857495","type":"proceedings-article","created":{"date-parts":[[2016,3,8]],"date-time":"2016-03-08T14:13:39Z","timestamp":1457446419000},"page":"155-162","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Factors underlying inter-observer agreement in gaze patterns"],"prefix":"10.1145","author":[{"given":"Shafin","family":"Rahman","sequence":"first","affiliation":[{"name":"University of Manitoba"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neil D. B.","family":"Bruce","sequence":"additional","affiliation":[{"name":"University of Manitoba"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,3,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2210727"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1167\/9.3.5"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.11.007"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Harel J. Koch C. and Perona P. 2007. Graph-based visual saliency. Advances in neural information processing systems 19 545. Harel J. Koch C. and Perona P. 2007. Graph-based visual saliency. Advances in neural information processing systems 19 545.","DOI":"10.7551\/mitpress\/7503.003.0073"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5501--5510","author":"Hossein Khatoonabadi S.","key":"e_1_3_2_1_7_1","unstructured":"Hossein Khatoonabadi , S. , Vasconcelos , N. , Bajic , I. V. , and Shan , Y . 2015. How many bits does it take for a stimulus to be salient? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5501--5510 . Hossein Khatoonabadi, S., Vasconcelos, N., Bajic, I. V., and Shan, Y. 2015. How many bits does it take for a stimulus to be salient? In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5501--5510."},{"volume-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.","author":"Hou X.","key":"e_1_3_2_1_8_1","unstructured":"Hou , X. , and Zhang , L . 2007. Saliency detection: A spectral residual approach . Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Hou, X., and Zhang, L. 2007. Saliency detection: A spectral residual approach. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition."},{"key":"e_1_3_2_1_9_1","unstructured":"Hou X. and Zhang L. 2009. Dynamic visual attention: Searching for coding length increments. 681--688. Hou X. and Zhang L. 2009. Dynamic visual attention: Searching for coding length increments. 681--688."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.146"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995721"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/nn1691"},{"key":"e_1_3_2_1_14_1","volume-title":"Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093.","author":"Jia Y.","year":"2014","unstructured":"Jia , Y. , Shelhamer , E. , Donahue , J. , Karayev , S. , Long , J. , Girshick , R. , Guadarrama , S. , and Darrell , T . 2014 . Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093. Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., and Darrell, T. 2014. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408.5093."},{"volume-title":"Computer Vision, 2009 IEEE 12th international conference on, IEEE, 2106--2113","author":"Judd T.","key":"e_1_3_2_1_15_1","unstructured":"Judd , T. , Ehinger , K. , Durand , F. , and Torralba , A . 2009. Learning to predict where humans look . In Computer Vision, 2009 IEEE 12th international conference on, IEEE, 2106--2113 . Judd, T., Ehinger, K., Durand, F., and Torralba, A. 2009. Learning to predict where humans look. In Computer Vision, 2009 IEEE 12th international conference on, IEEE, 2106--2113."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1167\/11.4.14"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/13506280902771138"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1167\/14.3.14"},{"key":"e_1_3_2_1_19_1","unstructured":"Krizhevsky A. Sutskever I. and Hinton G. E. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems 1097--1105. Krizhevsky A. Sutskever I. and Hinton G. E. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems 1097--1105."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0226-9"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.86"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072347"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738041"},{"key":"e_1_3_2_1_25_1","volume-title":"Ava: A large-scale database for aesthetic visual analysis. 2408--2415.","author":"Murray N.","year":"2012","unstructured":"Murray , N. , Marchesotti , L. , and Perronnin , F . 2012 . Ava: A large-scale database for aesthetic visual analysis. 2408--2415. Murray, N., Marchesotti, L., and Perronnin, F. 2012. Ava: A large-scale database for aesthetic visual analysis. 2408--2415."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00169-7"},{"volume-title":"Image Processing (ICIP), 2014 IEEE International Conference on, IEEE, 4082--4086","author":"Rahman S.","key":"e_1_3_2_1_28_1","unstructured":"Rahman , S. , Rochan , M. , Wang , Y. , and Bruce , N. D . 2014. Examining visual saliency prediction in naturalistic scenes . In Image Processing (ICIP), 2014 IEEE International Conference on, IEEE, 4082--4086 . Rahman, S., Rochan, M., Wang, Y., and Bruce, N. D. 2014. Examining visual saliency prediction in naturalistic scenes. In Image Processing (ICIP), 2014 IEEE International Conference on, IEEE, 4082--4086."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1167\/7.2.17"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Russakovsky O. Deng J. Su H. Krause J. Satheesh S. Ma S. Huang Z. Karpathy A. Khosla A. Bernstein M. Berg A. C. and Fei-Fei L. 2014. ImageNet Large Scale Visual Recognition Challenge. Russakovsky O. Deng J. Su H. Krause J. Satheesh S. Ma S. Huang Z. Karpathy A. Khosla A. Bernstein M. Berg A. C. and Fei-Fei L. 2014. ImageNet Large Scale Visual Recognition Challenge.","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1167\/9.12.15"},{"key":"e_1_3_2_1_32_1","unstructured":"Simonyan K. and Zisserman A. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556. Simonyan K. and Zisserman A. 2014. Very deep convolutional networks for large-scale image recognition. CoRR abs\/1409.1556 ."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.113.4.766"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.20.001407"},{"key":"e_1_3_2_1_35_1","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"Van der Maaten L.","year":"2008","unstructured":"Van der Maaten , L. , and Hinton , G. 2008 . Visualizing data using t-sne . Journal of Machine Learning Research 9 , 2579 -- 2605 , 85. Van der Maaten, L., and Hinton, G. 2008. Visualizing data using t-sne. Journal of Machine Learning Research 9, 2579--2605, 85.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(99)00101-7"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Xiao J. Hays J. Ehinger K. Oliva A. and Torralba A. 2010. Sun database: Large-scale scene recognition from abbey to zoo. 3485--3492. Xiao J. Hays J. Ehinger K. Oliva A. and Torralba A. 2010. Sun database: Large-scale scene recognition from abbey to zoo. 3485--3492.","DOI":"10.1109\/CVPR.2010.5539970"},{"volume-title":"Proceedings of International Conference on Image Processing, ICIP, 1089--1092","author":"Yan J.","key":"e_1_3_2_1_39_1","unstructured":"Yan , J. , Liu , J. , Li , Y. , Niu , Z. , and Liu , Y . 2010. Visual saliency detection via rank-sparsity decomposition . Proceedings of International Conference on Image Processing, ICIP, 1089--1092 . Yan, J., Liu, J., Li, Y., Niu, Z., and Liu, Y. 2010. Visual saliency detection via rank-sparsity decomposition. Proceedings of International Conference on Image Processing, ICIP, 1089--1092."}],"event":{"name":"ETRA '16: 2016 Symposium on Eye Tracking Research and Applications","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Charleston South Carolina","acronym":"ETRA '16"},"container-title":["Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research &amp; Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2857491.2857495","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2857491.2857495","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:39:08Z","timestamp":1750221548000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2857491.2857495"}},"subtitle":["predictive modelling and analysis"],"short-title":[],"issued":{"date-parts":[[2016,3,14]]},"references-count":39,"alternative-id":["10.1145\/2857491.2857495","10.1145\/2857491"],"URL":"https:\/\/doi.org\/10.1145\/2857491.2857495","relation":{},"subject":[],"published":{"date-parts":[[2016,3,14]]},"assertion":[{"value":"2016-03-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}