Abstract | ||
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This paper reports a series of investigations, which aim to test the appropriateness of voice recognition as an interaction method for mobile phone use. First, a KLM model was used in order to compare the speed of using voice recognition against using multi-tap and predictive text (the two most common methods of text entry) to interact with the phone menus and compose a text message. The results showed that speech is faster than the other two methods and that a combination of input methods provides the quickest task completion times. The first experiment used a controlled message creation task to validate the KLM predictions. This experiment also confirmed that the result was not due to a speed/accuracy trade off and that participants preferred to use the combination of input methods rather than a single method for menu interaction and text composition. The second experiment investigated the effect of limited visual feedback (when walking down the road or driving a car for example) on interaction, providing further evidence in support of speech as a useful input method. These experiments not only indicate the usefulness of voice in SMS input but also that users could also be satisfied with voice input in hands-busy, eyes-busy situations. |
Year | DOI | Venue |
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2008 | 10.1007/s00779-007-0178-8 | Personal and Ubiquitous Computing |
Keywords | Field | DocType |
input method,text message,predictive text,voice input,voice recognition,text composition,text entry,sms composition,voice-entrykeypresssms � klm gomshands-busyeyes-busy,useful input method,sms input,common method,sms,satisfiability | Text message,Predictive text,Computer science,Input method,Direct voice input,Speech recognition,Human–computer interaction,Phone,Mobile phone,Task completion,Multimedia,Text entry | Journal |
Volume | Issue | ISSN |
12 | 8 | 1617-4917 |
Citations | PageRank | References |
9 | 0.55 | 33 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anna L. Cox | 1 | 948 | 78.98 |
Paul A. Cairns | 2 | 259 | 31.54 |
Alison Walton | 3 | 373 | 18.47 |
Sasha Lee | 4 | 9 | 0.55 |