Evidence map›Paper›PMID 33668275›Full record

ArticleSensors (Basel, Switzerland)2021

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.

Yahui Wang, Yueyang Wang, Jingzhou Chen, Yincheng Wang, Jie Yang, Ting Jiang, Jibo He

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yahui WangDepartment of Psychology, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-2913-7011
Yueyang WangFaculty of Psychology, Beijing Normal University, Beijing 100875, China.
Jingzhou ChenDepartment of Psychology, Tsinghua University, Beijing 100084, China.
Yincheng WangDepartment of Psychology, Tsinghua University, Beijing 100084, China.
Jie YangDepartment of Psychology, Tsinghua University, Beijing 100084, China.
Ting JiangFaculty of Psychology, Beijing Normal University, Beijing 100875, China.
Jibo HeSchool of Psychology, Northwest Normal University, Lanzhou 730070, China.ORCID 0000-0002-5110-581X

Funding

Tsinghua University Initiative Scientific Research Program Ergonomic design of curved keyboard on smart devices
6 · The paper itself

Abstract

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.

Indexed as

GesturesUser-Computer InterfaceVirtual RealityHandHumansPosturegesture recognitionsubjective experiencetask workloadtyping performancevirtual realityword-gesture text entry technology

Identifiers

PMID33668275
PMCPMC7956291

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.