University of Cambridge > Talks.cam > Inference Group > Shape writing: a fast and fluid writing system designed for mobile devices

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Shape writing: a fast and fluid writing system designed for mobile devices

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact David MacKay.

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. In this talk I will report on how we explored how software keyboards on touch-screens can be improved to provide an efficient and practical text 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 a new effective text entry interface. Words form shapes on the software keyboard layout. Users write words by articulating the shapes for words on the software keyboard. 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. Taken together, the quantitative results show that shape writing is among the fastest mobile text entry interfaces, both initially and after practice, that are currently known.

This talk is part of the Inference Group series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Lattice field theory informal seminars Tracing Human Ancestry, using DNA Perspectives in Nano Information Processing

Other talks

Singularities of Hermitian-Yang-Mills connections and the Harder-Narasimhan-Seshadri filtration RA250 at the Fitz: academicians celebrating 250 years of the Royal Academy Women's Staff Network: Career Conversations Cambridge - Corporate Finance Theory Symposium September 2018 - Day 2 Adaptive Stochastic Galerkin Finite Element Approximation for Elliptic PDEs with Random Coefficients Dynamics of Phenotypic and Genomic Evolution in a Long-Term Experiment with E. coli Formation and disease relevance of axonal endoplasmic reticulum, a "neuron within a neuron”. Investigating the Functional Anatomy of Motion Processing Pathways in the Human Brain Uncertainty Quantification of geochemical and mechanical compaction in layered sedimentary basins
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity