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Tlk or txt? Using voice input for SMS composition

Cox, A.L.; Cairns, P.A.; Walton, A.; Lee, S.; (2008) Tlk or txt? Using voice input for SMS composition. Personal and Ubiquitous Computing , 12 (8) pp. 567-588. 10.1007/s00779-007-0178-8.

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Abstract

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.

Type:Article
Title:Tlk or txt? Using voice input for SMS composition
DOI:10.1007/s00779-007-0178-8
Publisher version:http://dx.doi.org/10.1007/s00779-007-0178-8
Language:English
Keywords:Voice-entry, keypress, SMS, KLM GOMS, hands-busy, eyes-busy
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Psychology and Language Sciences (Division of) > UCL Interaction Centre
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Psychology and Language Sciences (Division of) > Institute of Cognitive Neuroscience

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