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Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures

Although the interaction technology for virtual reality (VR) systems has evolved significantly over the past years, the text input efficiency in the virtual environment is still an ongoing problem. We deployed a word-gesture text entry technology based on gesture recognition in the virtual environme...

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Autores principales: Wang, Yahui, Wang, Yueyang, Chen, Jingzhou, Wang, Yincheng, Yang, Jie, Jiang, Ting, He, Jibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956291/
https://www.ncbi.nlm.nih.gov/pubmed/33668275
http://dx.doi.org/10.3390/s21051582
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author Wang, Yahui
Wang, Yueyang
Chen, Jingzhou
Wang, Yincheng
Yang, Jie
Jiang, Ting
He, Jibo
author_facet Wang, Yahui
Wang, Yueyang
Chen, Jingzhou
Wang, Yincheng
Yang, Jie
Jiang, Ting
He, Jibo
author_sort Wang, Yahui
collection PubMed
description Although the interaction technology for virtual reality (VR) systems has evolved significantly over the past years, the text input efficiency in the virtual environment is still an ongoing problem. We deployed a word-gesture text entry technology based on gesture recognition in the virtual environment. This study aimed to investigate the performance of the word-gesture text entry technology with different input postures and VR experiences in the virtual environment. The study revealed that the VR experience (how long or how often using VR) had little effect on input performance. The hand-up posture has a better input performance when using word-gesture text entry technology in a virtual environment. In addition, the study found that the perceived exertion to complete the text input with word-gesture text entry technology was relatively high. Furthermore, the typing accuracy and perceived usability for using the hand-up posture were obviously higher than that for the hand-down posture. The hand-up posture also had less task workload than the hand-down posture. This paper supports that the word-gesture text entry technology with hand-up posture has greater application potential than hand-down posture.
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spelling pubmed-79562912021-03-15 Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures Wang, Yahui Wang, Yueyang Chen, Jingzhou Wang, Yincheng Yang, Jie Jiang, Ting He, Jibo Sensors (Basel) Article Although the interaction technology for virtual reality (VR) systems has evolved significantly over the past years, the text input efficiency in the virtual environment is still an ongoing problem. We deployed a word-gesture text entry technology based on gesture recognition in the virtual environment. This study aimed to investigate the performance of the word-gesture text entry technology with different input postures and VR experiences in the virtual environment. The study revealed that the VR experience (how long or how often using VR) had little effect on input performance. The hand-up posture has a better input performance when using word-gesture text entry technology in a virtual environment. In addition, the study found that the perceived exertion to complete the text input with word-gesture text entry technology was relatively high. Furthermore, the typing accuracy and perceived usability for using the hand-up posture were obviously higher than that for the hand-down posture. The hand-up posture also had less task workload than the hand-down posture. This paper supports that the word-gesture text entry technology with hand-up posture has greater application potential than hand-down posture. MDPI 2021-02-24 /pmc/articles/PMC7956291/ /pubmed/33668275 http://dx.doi.org/10.3390/s21051582 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yahui
Wang, Yueyang
Chen, Jingzhou
Wang, Yincheng
Yang, Jie
Jiang, Ting
He, Jibo
Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title_full Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title_fullStr Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title_full_unstemmed Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title_short Investigating the Performance of Gesture-Based Input for Mid-Air Text Entry in a Virtual Environment: A Comparison of Hand-Up versus Hand-Down Postures
title_sort investigating the performance of gesture-based input for mid-air text entry in a virtual environment: a comparison of hand-up versus hand-down postures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956291/
https://www.ncbi.nlm.nih.gov/pubmed/33668275
http://dx.doi.org/10.3390/s21051582
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