Discrete and Continuous Shape Writing for Text Entry and Control
2007 (English)Doctoral thesis, monograph (Other academic)
Mobile devices gain increasing computational power and storage capabilities, and there are already mobile phones that can show movies, act as digital music players and offer full-scale web browsing. The bottleneck for information flow is however limited by the inefficient communication channel between the user and the small device. The small mobile phone form factor has proven to be surprisingly difficult to overcome and limited text entry capabilities are in effect crippling mobile devices’ use experience. The desktop keyboard is too large for mobile phones, and the keypad too limited. In recent years, advanced mobile phones have come equipped with touch-screens that enable new text entry solutions. This dissertation explores how software keyboards on touch-screens can be improved to provide an efficient and practical text and command entry experience on mobile devices. The central hypothesis is that it is possible to combine three elements: software keyboard, language redundancy and pattern recognition, and create new effective interfaces for text entry and control. These are collectively called “shape writing” interfaces. Words form shapes on the software keyboard layout. Users write words by articulating the shapes for words on the software keyboard. Two classes of shape writing interfaces are developed and analyzed: discrete and continuous shape writing. The former recognizes users’ pen or finger tapping motion as discrete patterns on the touch-screen. The latter recognizes users’ continuous motion patterns. Experimental results show that novice users can write text with an average entry rate of 25 wpm and an error rate of 1% after 35 minutes of practice. An accelerated novice learning experiment shows that users can exactly copy a single well-practiced phrase with an average entry rate of 46.5 wpm, with individual phrase entry rate measurements up to 99 wpm. When used as a control interface, users can send commands to applications 1.6 times faster than using de-facto standard linear pull-down menus. Visual command preview leads to significantly less errors and shorter gestures for unpracticed commands. Taken together, the quantitative results show that shape writing is among the fastest mobile interfaces for text entry and control, both initially and after practice, that are currently known.
Place, publisher, year, edition, pages
Institutionen för datavetenskap , 2007. , 200 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1106
Text entry, Command entry, Human-computer interaction, Input devices, Shorthand, Keyboard, Software keyboard, Pattern recognition
IdentifiersURN: urn:nbn:se:liu:diva-8877ISBN: 978-91-85831-77-7OAI: oai:DiVA.org:liu-8877DiVA: diva2:23594
2007-06-08, Visionen, Hus B, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Buxton, William, Associate Professor