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Effect of Environment Size on Curvature Redirected Walking Thresholds

Authors :
Nguyen, Anh Thy H
Rothacher, Yannick
Kunz, Andreas; https://orcid.org/0000-0002-6495-4327
Brugger, Peter
Lenggenhager, Bigna; https://orcid.org/0000-0003-0418-9931
Nguyen, Anh Thy H
Rothacher, Yannick
Kunz, Andreas; https://orcid.org/0000-0002-6495-4327
Brugger, Peter
Lenggenhager, Bigna; https://orcid.org/0000-0003-0418-9931
Source :
Nguyen, Anh Thy H; Rothacher, Yannick; Kunz, Andreas; Brugger, Peter; Lenggenhager, Bigna (2018). Effect of Environment Size on Curvature Redirected Walking Thresholds. In: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, 18 March 2018 - 22 March 2018. IEEE, 645-646.
Publication Year :
2018

Abstract

Redirected walking (RDW) refers to a number of techniques that enable users to explore a virtual environment larger than the real physical space. These techniques are based on the introduction of a mismatch in rotation, translation and curvature between the virtual and real trajectories, quantified as rotational, translational and curvature gains. When these gains are applied within certain thresholds, the manipulation is unnoticeable and immersion is maintained. Existing studies on RDW thresholds reported a wide range of threshold values. These differences could be attributed to many factors such as individual differences, walking speed, or environment settings. In this paper, we propose a study to investigate one of the environment settings that could potentially influence curvature RDW thresholds: the environment size. The detailed description of the study is also provided, where the adaptive, 2-alternative forced choice method is used to identify the detection thresholds.

Details

Database :
OAIster
Journal :
Nguyen, Anh Thy H; Rothacher, Yannick; Kunz, Andreas; Brugger, Peter; Lenggenhager, Bigna (2018). Effect of Environment Size on Curvature Redirected Walking Thresholds. In: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Reutlingen, 18 March 2018 - 22 March 2018. IEEE, 645-646.
Notes :
application/pdf, info:doi/10.5167/uzh-212251, English, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1443042392
Document Type :
Electronic Resource