Art der Publikation: Beitrag in Sammelwerk

Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data

Autor(en):

Kumar, Ayush; Mohanty, Debesh; Kurzhals, Kuno; Beck, Fabian; Weiskopf, Daniel; Mueller, Klaus

Titel des Sammelbands:

ACM Symposium on Eye Tracking Research and Applications, ETRA '20 Adjunct

Seiten:

1-3

Verlag:

ACM

Veröffentlichung:

2020

Digital Object Identifier (DOI):

doi:10.1145/3379157.3391988

Volltext:

Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data (0.97 MB)

Zitation:

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Kurzfassung

Eye movement data analysis plays an important role in examining human cognitive processes and perception. Such analysis at times needs data recording from additional sources too during experiments. In this paper, we study a pair programming based collaboration using use 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.