Shapiro, Kalila;
Quijada Leyton, Pedro;
Stemple, Lloyd;
Uberti, David;
(2024)
Interacting from Afar: A Study of the Relationship Between Usability and Presence in Object Selection at a Distance.
In:
CVMP '24: Proceedings of 21st ACM SIGGRAPH Conference on Visual Media Production.
(pp. pp. 1-9).
ACM (Association for Computing Machinery)
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Abstract
Virtual Reality (VR) permits people to bend the rules of physics that exist in the real world, allowing for unique “magic” interactions. For example, if a user wants to interact with a far away object, they can summon it to themselves in the Virtual Environment (VE) as opposed to physically walking to it like they would need to outside of a headset. There is no set framework for how to facilitate this type of user interaction for the optimal user experience. We wanted to understand how people intuitively interact with objects at a distance, hypothesizing that the more usable someone found a system, the higher level of presence they would experience. We present a study that explores the relationship between presence and usability through questionnaires. We identify a positive correlation between presence and usability and propose a system that allows free-movement to encourage presence in VEs.
Type: | Proceedings paper |
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Title: | Interacting from Afar: A Study of the Relationship Between Usability and Presence in Object Selection at a Distance |
Event: | CVMP '24: European Conference on Visual Media Production |
ISBN-13: | 9798400712814 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3697294.3697305 |
Publisher version: | http://dx.doi.org/10.1145/3697294.3697305 |
Language: | English |
Additional information: | © 2024 Owner/Author. This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/). |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10199932 |
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