University of Bari 1 article published in JoVE Environment Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment Marco Amati1,2, Chris McCarthy3, Ebadat Ghanbari Parmehr4, Jodi Sita5 1Visiting Professor, Dipartimento di Scienze Agro-Ambientali e Territoriali, Università degli Studi di Bari, 2Centre for Urban Research, Royal Melbourne Institute of Technology (RMIT University), 3School of Software and Electrical Engineering, Swinburne University of Technology, 4Faculty of Civil Engineering, Babol Noshirvani University of Technology, 5School of Science, Australian Catholic University The objective of the protocol is to detail how to collect video data for use in the laboratory; how to record eye-tracking data of participants looking at the data and how to efficiently analyze the content of the videos that they were looking at using a machine learning technique.
