Grant: Discovery Grants Program - Individual
York University
$15,000.00
Text and context in mobile computing
FY 2008-09
Summary
A program of research is proposed that will focus on "text and context in mobile computing". By "text", we refer simply to the issue of text entry. With over 1 billion SMS messages sent per day worldwide, the mobile phone keypad is today one of the dominant devices for text entry - this despite its poor capabilities for such. And so, a program of research in mobile text entry is extremely worthwhile. By "context", we refer to the many possible mechanisms to aide text entry through embedded knowledge of the language, user, or device. Word prediction, word completion, suffix completion, are some examples, but the general problem of interfacing with ambiguous keyboards (e.g., the mobile phone keyboard has either 3 or 4 letters per key) is of particular interest. As mobile devices shrink in size, there is increasing interest in supporting text entry with fewer keys than even a mobile phone contains. This presents an interesting combination of problems, intermixing issues of ambiguity resolution with an embedded language model. There is a tension between increasing keystrokes for ambiguity resolution (as the number of keys decreases) and decreasing keystrokes using predictive aides. This is fertile ground for research and it is the primary focus of the program of research proposed. Besides physical keyboards, soft keyboards or other interfaces that require input using a stylus or finger-touch are also considered. The PI also works extensively with computer pointing devices, models of interaction (e.g., using Fitts' law), and the measurement of human performance. These topics are also part of the proposed program of research.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
121581-2008
Name nom
MacKenzie, Scott
Department département
Computer Science and Engineering
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2008
Award amount
15000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
330
Committee name en
Computing and Information Sciences - A
Committee name fr
Informatique - A
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
1
Application title
Text and context in mobile computing
Keyword
NA
Application summary
A program of research is proposed that will focus on "text and context in mobile computing". By "text", we refer simply to the issue of text entry. With over 1 billion SMS messages sent per day worldwide, the mobile phone keypad is today one of the dominant devices for text entry - this despite its poor capabilities for such. And so, a program of research in mobile text entry is extremely worthwhile. By "context", we refer to the many possible mechanisms to aide text entry through embedded knowledge of the language, user, or device. Word prediction, word completion, suffix completion, are some examples, but the general problem of interfacing with ambiguous keyboards (e.g., the mobile phone keyboard has either 3 or 4 letters per key) is of particular interest. As mobile devices shrink in size, there is increasing interest in supporting text entry with fewer keys than even a mobile phone contains. This presents an interesting combination of problems, intermixing issues of ambiguity resolution with an embedded language model. There is a tension between increasing keystrokes for ambiguity resolution (as the number of keys decreases) and decreasing keystrokes using predictive aides. This is fertile ground for research and it is the primary focus of the program of research proposed. Besides physical keyboards, soft keyboards or other interfaces that require input using a stylus or finger-touch are also considered. The PI also works extensively with computer pointing devices, models of interaction (e.g., using Fitts' law), and the measurement of human performance. These topics are also part of the proposed program of research.