• DocumentCode
    2418466
  • Title

    Parameters effecting the predictive virtual keyboard

  • Author

    Sharma, Manoj Kumar ; Dey, Somnath ; Saha, Pradipta Kumar ; Samanta, Debasis

  • Author_Institution
    IIT Kharagpur, Kharagpur, India
  • fYear
    2010
  • fDate
    3-4 April 2010
  • Firstpage
    268
  • Lastpage
    275
  • Abstract
    Text prediction is one of the most widely used technique to enhance the text entry rate in message composition system with virtual keyboard. Several text prediction techniques have been reported in recent literature. Most of them concentrate on prediction method and keystroke savings. It is observed that other than these issues, many factors influence the performance of text prediction. This paper discusses these different parameters. In addition to prediction method, we also examine organizational structure and fast retrieval of suggestion, factor such as User Interface and Human factors, such as orientation of prediction list, number of suggestions to be displayed, proper placing of prediction window, training and testing etc. Issues such as keyboard-adjacency and motor-coordination slip are also illustrated. In this paper we elaborate the proper placing of displaying prediction list for maximum benefit and its effect on searching the word in the predictive text entry system.
  • Keywords
    human factors; keyboards; text analysis; user interfaces; human factors; keyboard adjacency; keystroke savings; message composition system; motor coordination slip; predictive virtual keyboard; text entry rate; text prediction; user interface; Keyboards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Students' Technology Symposium (TechSym), 2010 IEEE
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-5975-9
  • Electronic_ISBN
    978-1-4244-5974-2
  • Type

    conf

  • DOI
    10.1109/TECHSYM.2010.5469160
  • Filename
    5469160