View in EDS HTML Full Text PDF Full Text

Light-Occlusion Text Entry in Mixed Reality.

Saved in:
Bibliographic Details
Title: Light-Occlusion Text Entry in Mixed Reality.
Authors: Sun, Aoxin (AUTHOR), Wang, Lili (AUTHOR), Leng, JiaYe (AUTHOR), Kei Im, Sio (AUTHOR)
Source: International Journal of Human-Computer Interaction. Dec2024, Vol. 40 Issue 24, p8607-8622. 16p.
Subjects: Mixed reality, Human-computer interaction, Error rates, Thumb, Keyboarding
Abstract: Text entry is a recurring task in mixed reality (MR) applications, and the ability of eyes-free text entry methods to allow users to enter text without focusing on the input device is ideal and compelling. However, existing eyes-free text entry methods leave much to be desired regarding efficiency and accuracy. In this paper, we propose a new light-occlusion text entry method in MR environment that uses dual thumb typing on a touchscreen. We design a partially visible keyboard as visual feedback to improve user performance. In addition, we optimize the underlying keyboard by collecting eyes-free typing data through a user study. The results show that our method has high typing speed, low error rate, and is very novice-friendly. After a short training period, the average typing speed of the novice group can reach 26.23 WPM (words per minute), while the average typing speed of the potential expert group can reach 30.62 WPM. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 181568433
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Light-Occlusion Text Entry in Mixed Reality.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sun%2C+Aoxin%22">Sun, Aoxin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Lili%22">Wang, Lili</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leng%2C+JiaYe%22">Leng, JiaYe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kei+Im%2C+Sio%22">Kei Im, Sio</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Dec2024, Vol. 40 Issue 24, p8607-8622. 16p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Mixed+reality%22">Mixed reality</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Error+rates%22">Error rates</searchLink><br /><searchLink fieldCode="DE" term="%22Thumb%22">Thumb</searchLink><br /><searchLink fieldCode="DE" term="%22Keyboarding%22">Keyboarding</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Text entry is a recurring task in mixed reality (MR) applications, and the ability of eyes-free text entry methods to allow users to enter text without focusing on the input device is ideal and compelling. However, existing eyes-free text entry methods leave much to be desired regarding efficiency and accuracy. In this paper, we propose a new light-occlusion text entry method in MR environment that uses dual thumb typing on a touchscreen. We design a partially visible keyboard as visual feedback to improve user performance. In addition, we optimize the underlying keyboard by collecting eyes-free typing data through a user study. The results show that our method has high typing speed, low error rate, and is very novice-friendly. After a short training period, the average typing speed of the novice group can reach 26.23 WPM (words per minute), while the average typing speed of the potential expert group can reach 30.62 WPM. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=181568433
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2023.2285646
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 8607
    Subjects:
      – SubjectFull: Mixed reality
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: Error rates
        Type: general
      – SubjectFull: Thumb
        Type: general
      – SubjectFull: Keyboarding
        Type: general
    Titles:
      – TitleFull: Light-Occlusion Text Entry in Mixed Reality.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sun, Aoxin
      – PersonEntity:
          Name:
            NameFull: Wang, Lili
      – PersonEntity:
          Name:
            NameFull: Leng, JiaYe
      – PersonEntity:
          Name:
            NameFull: Kei Im, Sio
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 40
            – Type: issue
              Value: 24
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1