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

被引:8
|
作者
Wang, Yahui [1 ]
Wang, Yueyang [2 ]
Chen, Jingzhou [1 ]
Wang, Yincheng [1 ]
Yang, Jie [1 ]
Jiang, Ting [2 ]
He, Jibo [1 ,3 ]
机构
[1] Tsinghua Univ, Dept Psychol, Beijing 100084, Peoples R China
[2] Beijing Normal Univ, Fac Psychol, Beijing 100875, Peoples R China
[3] Northwest Normal Univ, Sch Psychol, Lanzhou 730070, Peoples R China
关键词
word-gesture text entry technology; gesture recognition; virtual reality; typing performance; subjective experience; task workload; REALITY;
D O I
10.3390/s21051582
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页码:1 / 19
页数:18
相关论文
共 1 条
  • [1] Evaluating the Performance of Hand-Based Probabilistic Text Input Methods on a Mid-Air Virtual Qwerty Keyboard
    Dudley, John J.
    Zheng, Jingyao
    Gupta, Aakar
    Benko, Hrvoje
    Longest, Matt
    Wang, Robert
    Kristensson, Per Ola
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 29 (11) : 4567 - 4577