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Technol."],"published-print":{"date-parts":[[2018,7,31]]},"abstract":"<jats:p>Understanding human visual attention is essential for understanding human cognition, which in turn benefits human--computer interaction. Recent work has demonstrated a Personalized, Auto-Calibrating Eye-tracking (PACE) system, which makes it possible to achieve accurate gaze estimation using only an off-the-shelf webcam by identifying and collecting data implicitly from user interaction events. However, this method is constrained by the need for large amounts of well-annotated data. We thus present fast-PACE, an adaptation to PACE that exploits knowledge from existing data from different users to accelerate the learning speed of the personalized model. The result is an adaptive, data-driven approach that continuously \u201clearns\u201d its user and recalibrates, adapts, and improves with additional usage by a user. Experimental evaluations of fast-PACE demonstrate its competitive accuracy in iris localization, validity of alignment identification between gaze and interactions, and effectiveness of gaze transfer. In general, fast-PACE achieves an initial visual error of 3.98 degrees and then steadily improves to 2.52 degrees given incremental interaction-informed data. Our performance is comparable to state-of-the-art, but without the need for explicit training or calibration. Our technique addresses the data quality and quantity problems. It therefore has the potential to enable comprehensive gaze-aware applications in the wild.<\/jats:p>","DOI":"10.1145\/3156682","type":"journal-article","created":{"date-parts":[[2018,1,31]],"date-time":"2018-01-31T13:25:40Z","timestamp":1517405140000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Quick Bootstrapping of a Personalized Gaze Model from Real-Use Interactions"],"prefix":"10.1145","volume":"9","author":[{"given":"Michael Xuelin","family":"Huang","sequence":"first","affiliation":[{"name":"Max Planck Institute for Informatics, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajia","family":"Li","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grace","family":"Ngai","sequence":"additional","affiliation":[{"name":"Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong Va","family":"Leong","sequence":"additional","affiliation":[{"name":"Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,1,30]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2013.6531125"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.02.002"},{"key":"e_1_2_1_3_1","volume-title":"Eye gaze tracking with a web camera in a desktop environment","author":"Cheung Yiu Ming","year":"2015","unstructured":"Yiu Ming Cheung and Qinmu Peng . 2015. 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