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,...
| Publicado en: | Ergonomics Vol. 68; no. 8; pp. 1309 - 1320 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187637935&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187637935 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Aug2025 vid: 68 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 187637935 179682215 187637935 187637935 10.1080/00140139.2024.2404637 187637935 ppf: 1309 ppct: 11 formats: tig: atl: Movement and positioning of a virtual cuboid in 3d space in an augmented reality environment. aug: au: Ho, Yu-Hui Li, Kai Way Peng, Lu affil: Ph. D. Program in Engineering Science, Chung Hua University, Hsinchu, Taiwan sug: subj: Augmented Reality Utilization Movement Evaluation Reaction Time Evaluation Task Performance and Analysis Evaluation Attitude to Computers Evaluation User-Computer Interface Imaging, Three-Dimensional Human Male Female Adult Comparative Studies Power Analysis Data Analysis Software Analysis of Variance Regression Models, Statistical Sex Factors Virtual Reality Wearable Sensors Computer-Assisted Instruction Questionnaires Funding Source Adult: 19-44 years Male Female ab: 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. PRACTITIONER SUMMARY: This study explores the movement time, subjective rating of difficulty, and error placement rate in positioning a virtual object in a 3D space. Regression movement time models were developed using both unsegmented and segmented movement time data. The findings provide insightful perspectives for software designers in designing user-friendly augmented reality applications. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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