SimpleFlow : enhancing gestural interaction with gesture prediction, abbreviation and autocompletion

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Title: SimpleFlow : enhancing gestural interaction with gesture prediction, abbreviation and autocompletion
Authors: Bennett, Mike
McCarthy, Kevin
O'Modhrain, Sile
Smyth, Barry
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Date: Sep-2011
Abstract: Gestural interfaces are now a familiar mode of user interaction and gestural input is an important part of the way that users can interact with such interfaces. However, entering gestures accurately and efficiently can be challenging. In this paper we present two styles of visual gesture autocompletion for 2D predictive gesture entry. Both styles enable users to abbreviate gestures. We experimentally evaluate and compare both styles of visual autocompletion against each other and against non-predictive gesture entry. The best perform- ing visual autocompletion is referred to as SimpleFlow. Our findings establish that users of SimpleFlow take significant advantage of gesture autocompletion by entering partial gestures rather than whole gestures. Compared to non- predictive gesture entry, users enter partial gestures that are 41% shorter than the complete gestures, while simultaneously improving the accuracy (+13%, from 68% to 81%) and speed (+10%) of their gesture input. The results provide insights into why SimpleFlow leads to significantly enhanced performance, while showing how predictive gestures with simple visual autocompletion impacts upon the gesture abbreviation, accuracy, speed and cognitive load of 2D predictive gesture entry.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2011 IFIP - International Federation for Information Processing
Keywords: Gestural interfacesAutocompletion
Subject LCSH: User interfaces (Computer systems)
Human-computer interaction
DOI: 10.1007/978-3-642-23774-4_47
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Language: en
Status of Item: Peer reviewed
Is part of: Campos, P. et al (eds.). Human-Computer Interaction – INTERACT 2011 13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011, Proceedings, Part I
Conference Details: Paper presented at Human-Computer Interaction – INTERACT 2011, 13th IFIP TC 13 International Conference, Lisbon, Portugal, September 5-9, 2011
ISBN: 978-3-642-23773-7
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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