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Detection of Strong and Weak Moments in Cinematic Virtual Reality Narration with the Use of 3D Eye Tracking

Authors:
Paweł Kobyliński
Grzegorz Pochwatko

Keywords: cinematic virtual reality; omnidirectional video; 3D eye tracking; visual attention; narration

Abstract:
Cinematic Virtual Reality (CVR) is a medium growing in popularity among both filmmakers and researchers. The medium brings challenges for movie and video makers, who need to narrate in a different way than in traditional movies and videos to keep viewers’ attention in the right place of the 360-degree scene. In order to ensure an adequate pace of development, tools are needed to conduct systematic, reliable and objective research on narration in CVR. In the short paper, the authors for the first time fully report results of the initial empirical test of their recently developed Scaled Aggregated Visual Attention Convergence Index (sVRCa). The index utilizes 3D Eye Tracking (3D ET) data recorded during a CVR experience and allows measuring and describing the effectiveness of any system of attentional cues employed by a CVR creator. The results of the initial test are promising. The method seems to substantially augment the process of detection of strong and weak moments in CVR narration.

Pages: 280 to 284

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-761-0

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020