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Eye Data Quality Course at ETRA 2016

ETRA 2016 will offer three tutorials on Monday, March 14th. Among them, members of theEye Data Quality (EDQ) Standardisation Project (http://www.eye-movements.org/eye_data_quality) will offer the tutorial "Eye data quality: measuring, calculating, and reporting".

Abstract: The quality of the data produced by eye trackers has a profound effect on what can be reliably measured and inferred in research results, and also on the limitations of any gaze-enabled or gaze-controlled interface. This tutorial is intended for anyone who wants to know more about how eye tracking systems compare in terms of data quality, how to calculate and report data quality for replicability of research results, and how to make well informed decisions about data exclusion. The tutorial will include both theoretical and practical instruction based on the methods and measures developed by the (EMRA/COGAIN Eye Data Quality Standardisation Committee). At the end of the tutorial, participants should be familiar with various measures of data quality and how to interpret them as well as gain practical experience with open source software designed for this purpose. We welcome researchers at all stages of their career and will include time to consult with teachers regarding your own research and data.

Teachers: Jeff Pelz, Fiona Mulvey, Dixon Cleveland, Dong Wang, Marcus Nystrom.

The other two tutorials are "Eye-tracking and visualization" and "Mining Scanpath Sequences with R and TraMineR Packages: A Hands-On Introduction". For more information about the tutorials at ETRA please visit: http://etra.fxpal.com/2016/tutorials/

Event-Date: 
Thursday, 10 March, 2016 - 12:45
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