Movement and positioning of a virtual cuboid in 3d space in an augmented reality environment

Human-virtual object interaction is common in both entertainment and work settings. This study investigated the movement time (MT) and subjective rating of difficulty (SRD) for moving a virtual cuboid in a 3D space. The participants wore an augmented reality (AR) headset, picked up a virtual cuboid, and placed it on an assigned target. They rated the SRD of the task on a five-point scale. The effects of the 3D coordinate of the target, sex, and handedness on the MT were analysed. The error placement rate was also recorded. Significant effects of spatial coordinates were found on both MT and SRD. Both single- and two-stage MT modelling were conducted using segmented and unsegmented MT data, respectively. The insignificant prediction error between the models indicates that the two-stage MT model is not superior to the single-stage one. The findings of this study are beneficial to software designers in designing user-friendly AR applications.

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Publication Details

Journal
Ergonomics
Published
2024-09-16
DOI
https://doi.org/10.1080/00140139.2024.2404637
Citations
2
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.50

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article

Movement and positioning of a virtual cuboid in 3d space in an augmented reality environment

Lu Peng, Kai Way Li, Yu-Hui Ho
2 citations
Ergonomics
Augmented Reality Applications
0.50
article

Movement and positioning of a virtual cuboid in 3d space in an augmented reality environment

Lu Peng, Kai Way Li, Yu-Hui Ho
article en
2 citations

Abstract

Human-virtual object interaction is common in both entertainment and work settings. This study investigated the movement time (MT) and subjective rating of difficulty (SRD) for moving a virtual cuboid in a 3D space. The participants wore an augmented reality (AR) headset, picked up a virtual cuboid, and placed it on an assigned target. They rated the SRD of the task on a five-point scale. The effects of the 3D coordinate of the target, sex, and handedness on the MT were analysed. The error placement rate was also recorded. Significant effects of spatial coordinates were found on both MT and SRD. Both single- and two-stage MT modelling were conducted using segmented and unsegmented MT data, respectively. The insignificant prediction error between the models indicates that the two-stage MT model is not superior to the single-stage one. The findings of this study are beneficial to software designers in designing user-friendly AR applications.

ErgonomicsVol. 68(8)
Nanjing Agricultural University (CN), Chung Hua University (TW)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Augmented Reality Applications
0.50
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