UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Interacting from Afar: A Study of the Relationship Between Usability and Presence in Object Selection at a Distance

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) Green open access

[thumbnail of Interacting_from_Afar__A_Study_of_the_Relationship_Between_Usability_and_Presence_in_Object_Selection_at_a_Distance.pdf]
Preview
PDF
Interacting_from_Afar__A_Study_of_the_Relationship_Between_Usability_and_Presence_in_Object_Selection_at_a_Distance.pdf - Published Version

Download (2MB) | Preview

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
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
Downloads since deposit
4Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item