Exploring the Effects of Spatial Constraints and Curvature for 3D Piloting in Virtual Environments

Piloting requires users to control and navigate the aircraft within a designated pathway, with a controller that utilizes two joysticks to control the aircraft. This task is representative of various daily and gaming scenarios, such as controlling the aircraft to capture the photo or navigating an object in a game from the start position to the end via a trajectory. In this work, we explore a model (based on the Steering Law) that predicts the piloting time required in spatial-constrained environments. Thus, two user studies are conducted to help us understand the relationship between path complexity (curvature) and spatial constraints (width and height). According to the results, we propose a model that can achieve $52.6 \%$ and $60.6 \%$ improvement in R-square and the Akaike Information Criterion (AIC), respectively. Next, an additional study was conducted to further verify the performance and efficiency of our proposed model with the change of movement direction and orientation. Our model and experimental results can benefit both game and interface designers of applications that require controlling moving objects along specific trajectories in virtual reality environments.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00065
Citations
5
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
1.02

Funders

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article

Exploring the Effects of Spatial Constraints and Curvature for 3D Piloting in Virtual Environments

Xuning Hu, Xinan Yan, Yushi Wei, Hai‐Ning Liang et al.
5 citations
Spatial Cognition and Navigation
1.02
article

Exploring the Effects of Spatial Constraints and Curvature for 3D Piloting in Virtual Environments

Xuning Hu, Xinan Yan, Yushi Wei, Hai‐Ning Liang, Yue Li, W. L. Xu, Yue Liu
article en
5 citations

Abstract

Piloting requires users to control and navigate the aircraft within a designated pathway, with a controller that utilizes two joysticks to control the aircraft. This task is representative of various daily and gaming scenarios, such as controlling the aircraft to capture the photo or navigating an object in a game from the start position to the end via a trajectory. In this work, we explore a model (based on the Steering Law) that predicts the piloting time required in spatial-constrained environments. Thus, two user studies are conducted to help us understand the relationship between path complexity (curvature) and spatial constraints (width and height). According to the results, we propose a model that can achieve $52.6 \%$ and $60.6 \%$ improvement in R-square and the Akaike Information Criterion (AIC), respectively. Next, an additional study was conducted to further verify the performance and efficiency of our proposed model with the change of movement direction and orientation. Our model and experimental results can benefit both game and interface designers of applications that require controlling moving objects along specific trajectories in virtual reality environments.

Dartmouth College (US), Beijing Institute of Technology (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Spatial Cognition and Navigation
1.02
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