Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
Predictive text-entry in immersive environments

McCaul, Barry (2005) Predictive text-entry in immersive environments. PhD thesis, Dublin City University.

  • Abstract
  • Metadata
  • Downloads
  • Documents
[+][-]
Abstract
Virtual Reality (VR) has progressed significantly since its conception, enabling previously impossible applications such as virtual prototyping, telepresence, and augmented reality However, text-entry remains a difficult problem for immersive environments (Bowman et al, 2001b, Mine et al , 1997). Wearing a head-mounted display (HMD) and datagloves affords a wealth of new interaction techniques. However, users no longer have access to traditional input devices such as a keyboard. Although VR allows for more natural interfaces, there is still a need for simple, yet effective, data-entry techniques. Examples include communicating in a collaborative environment, accessing system commands, or leaving an annotation for a designer m an architectural walkthrough (Bowman et al, 2001b). This thesis presents the design, implementation, and evaluation of a predictive text-entry technique for immersive environments which combines 5DT datagloves, a graphically represented keyboard, and a predictive spelling paradigm. It evaluates the fundamental factors affecting the use of such a technique. These include keyboard layout, prediction accuracy, gesture recognition, and interaction techniques. Finally, it details the results of user experiments, and provides a set of recommendations for the future use of such a technique in immersive environments.
Metadata
Item Type:Thesis (PhD)
Date of Award:2005
Refereed:No
Supervisor(s):Sutherland, Alistair
Uncontrolled Keywords:Virtual reality; Human interfaces; Text entry
Subjects:Computer Science > Interactive computer systems
Computer Science > Computer software
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:18052
Deposited On:30 Apr 2013 13:32 by Celine Campbell . Last Modified 30 Apr 2013 13:32
Documents

Full text available as:

[thumbnail of Barry_Mc_Caul.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
5MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us