Towards assisting the decision-making process for content creators in cinematic virtual reality through the analysis of movie cuts and their influence on viewers' behavior

Marañes, Carlos ; Gutierrez, Diego (Universidad de Zaragoza) ; Serrano, Ana (Universidad de Zaragoza)

Resumen: Virtual Reality (VR) is gaining popularity in recent years due to the commercialization of personal devices. VR is a new and exciting medium to tell stories, however, the development of Cinematic Virtual Reality (CVR) content is still in an exploratory phase. One of the main reasons is that in this medium the user has now total or partial control of the camera, therefore viewers create their own personal experiences by deciding what to see in every moment, which can potentially hinder the delivery of a pre-established narrative. In the particular case of transitions from one shot to another (movie cuts), viewers may not be aligned with the main elements of the scene placed by the content creator to convey the story. This can result in viewers missing key elements of the narrative. In this work, we explore recent studies that analyze viewers’ behavior during cinematic cuts in VR videos, and we discuss guidelines and methods which can help filmmakers with the decision-making process when filming and editing their movies.

Idioma: Inglés

DOI: 10.1111/itor.13106

Año: 2023

Publicado en: INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 30, 3 (2023), 1245-1262
ISSN: 0969-6016

Factor impacto JCR: 3.1 (2023)

Categ. JCR: MANAGEMENT rank: 171 / 401 = 0.426 (2023) - Q2 - T2
Categ. JCR: OPERATIONS RESEARCH & MANAGEMENT SCIENCE rank: 34 / 106 = 0.321 (2023) - Q2 - T1

Factor impacto CITESCORE: 7.8 - Management of Technology and Innovation (Q1) - Strategy and Management (Q1) - Management Science and Operations Research (Q1) - Computer Science Applications (Q1) - Business and International Management (Q1)

Factor impacto SCIMAGO: 1.027 - Business and International Management (Q1) - Computer Science Applications (Q1) - Strategy and Management (Q1) - Management Science and Operations Research (Q1) - Management of Technology and Innovation (Q2)

Financiación: info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON
Financiación: info:eu-repo/grantAgreement/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)