@inproceedings{dadb1983a3ba4c5e94cea8ce81fa7174,
title = "Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data",
abstract = "Eye movement data analysis plays an important role in examining human cognitive processes and perceptions. Such analysis at times needs data recording from additional sources too during experiments. In this paper, we study a pair programming based collaboration using two eye trackers, stimulus recording, and an external camera recording. To analyze the collected data, we introduce the EyeSAC system that synchronizes the data from different sources and that removes the noisy and missing gazes from eye tracking data with the help of visual feedback from the external recording. The synchronized and cleaned data is further annotated using our system and then exported for further analysis.",
keywords = "Annotation, denoising, eye tracking, filtering, synchronization, visualization",
author = "Ayush Kumar and Debesh Mohanty and Kuno Kurzhals and Fabian Beck and Daniel Weiskopf and Klaus Mueller",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 ACM Symposium on Eye Tracking Research and Applications - Adjunct, ETRA 2020 ; Conference date: 02-06-2020 Through 05-06-2020",
year = "2020",
month = jun,
day = "2",
doi = "10.1145/3379157.3391988",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings ETRA 2020 Adjunct - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020",
}