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

Erg-O: Ergonomic Optimization of Immersive Virtual Environments

Murillo, RAM; Subramanian, S; Plasencia, DM; (2017) Erg-O: Ergonomic Optimization of Immersive Virtual Environments. In: Gajos, K and Mankoff, J and Harrison, C, (eds.) UIST '17: Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. (pp. pp. 759-771). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

[thumbnail of Martinez Plasencia_Erg-O-CameraReadyFinal2.pdf]
Preview
Text
Martinez Plasencia_Erg-O-CameraReadyFinal2.pdf - Accepted Version

Download (1MB) | Preview

Abstract

Interaction in VR involves large body movements, easily inducing fatigue and discomfort. We propose Erg-O, a manipulation technique that leverages visual dominance to maintain the visual location of the elements in VR, while making them accessible from more comfortable locations. Our solution works in an open-ended fashion (no prior knowledge of the object the user wants to touch), can be used with multiple objects, and still allows interaction with any other point within user's reach. We use optimization approaches to compute the best physical location to interact with each visual element, and space partitioning techniques to distort the visual and physical spaces based on those mappings and allow multi-object retargeting. In this paper we describe the Erg-O technique, propose two retargeting strategies and report the results from a user study on 3D selection under different conditions, elaborating on their potential and application to specific usage scenarios.

Type: Proceedings paper
Title: Erg-O: Ergonomic Optimization of Immersive Virtual Environments
Event: 30th Annual ACM Symposium on User Interface Software and Technology (UIST)
Location: Quebec City, CANADA
Dates: 22 October 2017 - 25 October 2017
ISBN-13: 9781450349819
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3126594.3126605
Publisher version: https://doi.org/10.1145/3126594.3126605
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10106877
Downloads since deposit
119Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item