Investigating five key predictive text entry with combined distance and keystroke modelling

Mark D. Dunlop, Michelle Montgomery Masters

Research output: Contribution to journal › Article

19 Citations (Scopus)

Abstract

This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt's law and keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads as found elsewhere for novice nine-key pad users.
LanguageEnglish
Pages589-598
Number of pages9
JournalPersonal and Ubiquitous Computing
Volume12
Issue number8
Early online date10 Aug 2007
DOIs
Publication statusPublished - 30 Nov 2008

Fingerprint

Mobile phones
Computer keyboards
Mobile devices
Modeling
Mobile phone
Prediction

Keywords

  • predictive text entry
  • user modelling
  • user testing
  • mobile phones
  • ubiquitous computing

Cite this

Dunlop, Mark D. ; Masters, Michelle Montgomery. / Investigating five key predictive text entry with combined distance and keystroke modelling. In: Personal and Ubiquitous Computing. 2008 ; Vol. 12, No. 8. pp. 589-598.
@article{668755d2f66e4df5902c78f758c84381,
title = "Investigating five key predictive text entry with combined distance and keystroke modelling",
abstract = "This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt's law and keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads as found elsewhere for novice nine-key pad users.",
keywords = "predictive text entry, user modelling, user testing, mobile phones, ubiquitous computing",
author = "Dunlop, {Mark D.} and Masters, {Michelle Montgomery}",
year = "2008",
month = "11",
day = "30",
doi = "10.1007/s00779-007-0179-7",
language = "English",
volume = "12",
pages = "589--598",
journal = "Personal and Ubiquitous Computing",
issn = "1617-4909",
number = "8",

}

Dunlop, MD & Masters, MM 2008, 'Investigating five key predictive text entry with combined distance and keystroke modelling' Personal and Ubiquitous Computing, vol. 12, no. 8, pp. 589-598. https://doi.org/10.1007/s00779-007-0179-7

Investigating five key predictive text entry with combined distance and keystroke modelling. / Dunlop, Mark D.; Masters, Michelle Montgomery.

In: Personal and Ubiquitous Computing, Vol. 12, No. 8, 30.11.2008, p. 589-598.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Investigating five key predictive text entry with combined distance and keystroke modelling

AU - Dunlop, Mark D.

AU - Masters, Michelle Montgomery

PY - 2008/11/30

Y1 - 2008/11/30

N2 - This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt's law and keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads as found elsewhere for novice nine-key pad users.

AB - This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt's law and keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads as found elsewhere for novice nine-key pad users.

KW - predictive text entry

KW - user modelling

KW - user testing

KW - mobile phones

KW - ubiquitous computing

U2 - 10.1007/s00779-007-0179-7

DO - 10.1007/s00779-007-0179-7

M3 - Article

VL - 12

SP - 589

EP - 598

JO - Personal and Ubiquitous Computing

T2 - Personal and Ubiquitous Computing

JF - Personal and Ubiquitous Computing

SN - 1617-4909

IS - 8

ER -

Dunlop MD, Masters MM. Investigating five key predictive text entry with combined distance and keystroke modelling. Personal and Ubiquitous Computing. 2008 Nov 30;12(8):589-598. https://doi.org/10.1007/s00779-007-0179-7

Access to Document