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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Article DOI: 10.3791/58459-v • 08:25 min • May 7th, 2019
May 7th, 2019 •
1,2, 3, 4, 5
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

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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.

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Eye-tracking Data Video Content Free-viewing Urban Park Environment Analysis Technique Complex Data Eye Tracking Applications Real World Situations Video Stimulus Landscape Studies Visual Stimuli Team Approach Post Graduate Student Film Sequences Eye Tracking Laboratory Natural Light Screen Reflections Visual Field Participant Seating
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