loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock
Fog of Story: Design, Implementation and Evaluation of a Post-processing Technique to Guide Users’ Point of View in cinematic Virtual Reality (cVR) Experiences

Topics: Distributed Augmented, Mixed and Virtual Reality; Human Performance and Usability of Virtual Environments; Real-Time Graphics; Virtual Reality Tools and Languages

Authors: Jose L. Soler-Dominguez 1 and Carlos Gonzalez 2

Affiliations: 1 Instituto de Investigación e Innovación en Bioingenieria (I3B),Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain ; 2 ReplayX (Games and Interactive eXperiences Research Group), Florida Universitaria, C/Rei en Jaume I s/n, 46470, Catarroja, Valencia, Spain

Keyword(s): Virtual Reality, Cinematic, User Experience, Attention.

Abstract: The impact of Virtual Reality (VR) as a narrative medium is growing quickly. Opposite to traditional films, in cinematic VR (cVR) experiences, even when interactions are usually reduced to navigation, users are free to move the camera at their will and could miss relevant scenes while looking at unexpected places inside the virtual environment. Different visual cues have been developed to attract user’s attention and to make them focus on the main narrative stream. Those visual cues usually interfere with the actual storytelling, introducing alien elements and overloading graphically the scene. In this paper, we propose a visual postprocessing technique that applied to a VR camera will guide the user to look at where the relevant narrative events are expected to happen using dynamic visual layers. This technique, narratively aseptic, could be applied to different storytelling scenarios and is based on the Gaussian blur effect: the greater the angle between the user’s vision and the area of interest is, the more blurred the content will be displayed. Moreover, a visual guide is displayed to help the user to know at every moment the way to the area of interest. GPU shaders are used in order to not affect the performance. Additionally, metrics will be proposed in order to measure the effects of this technique on presence and agency, the most significant subjective parameters of User Experience in VR. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.16.70.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Soler-Dominguez, J. and Gonzalez, C. (2020). Fog of Story: Design, Implementation and Evaluation of a Post-processing Technique to Guide Users’ Point of View in cinematic Virtual Reality (cVR) Experiences. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 327-333. DOI: 10.5220/0009087303270333

@conference{grapp20,
author={Jose L. Soler{-}Dominguez. and Carlos Gonzalez.},
title={Fog of Story: Design, Implementation and Evaluation of a Post-processing Technique to Guide Users’ Point of View in cinematic Virtual Reality (cVR) Experiences},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP},
year={2020},
pages={327-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009087303270333},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - GRAPP
TI - Fog of Story: Design, Implementation and Evaluation of a Post-processing Technique to Guide Users’ Point of View in cinematic Virtual Reality (cVR) Experiences
SN - 978-989-758-402-2
IS - 2184-4321
AU - Soler-Dominguez, J.
AU - Gonzalez, C.
PY - 2020
SP - 327
EP - 333
DO - 10.5220/0009087303270333
PB - SciTePress