Dasher University of Cambridge

















The Dasher project is supported by the Gatsby Foundation and by the European Commission in the context of the AEGIS project – open Accessibility Everywhere: Groundwork …Dasher. The Inference Group at Cambridge University originally intended to create a method of entering text into PDAs and other mobile devices. The result, however, has …James Dasher Portland, OR – Dasher Marketing – University of Maryland University College “Husband. Father. Techie. Musician. Soldier. Christian.”Travel insurance. From 1 August 2007 the University is now providing free comprehensive travel insurance for employees travelling abroad on University business as long as …Read reviews, get customer ratings, see screenshots, and learn more about Dasher on the App Store. Download Dasher and enjoy it on your iPhone, iPad, and iPod …Cambridge University Computer Laboratory”} @ARTICLE{MacKay94:fes, … annote={In December 2000, the Inference Group won both … title={Dasher — an Efficient Keyboard Alternative},Le Planet Project, premier sondage mondial sur internet … public.wsj.com/home.html . McDonald’s innove son menu … montre une Θtude du Boston Consulting Group (BCG).Regularity in Semantic Change; By Elizabeth Closs Traugott; Stanford University, California; By Richard B. Dasher; Stanford University, California; Cambridge Studies in Linguistics











Dasher is a zooming interface. You point where you want to go, and the display zooms in wherever you point. The world into which you are zooming is painted with letters, so that any point you zoom in on corresponds to a piece of text. The more you zoom in, the longer the piece of text you have written. You choose what you write by choosing where to zoom.

In the example to the right, the user is writing “Hello,_how_are_you?”.

To make the interface efficient, we use the predictions of a language model to determine how much of the world is devoted to each piece of text. Probable pieces of text are given more space, so they are quick and easy to select. Improbable pieces of text (for example, text with spelling mistakes) are given less space, so they are harder to write. The language model learns all the time: if you use a novel word once, it is easier to write next time.

A big advantage of Dasher over other predictive text-entry interfaces that offer word-completions to the user is that it is mode-free: the user does not need to switch from a writing mode to an “accept-model-predictions” mode.

Another advantage is that it is easy to train the model on any writing style: simply load up an example file, then write away!

Dasher is an information-efficient text-entry interface, driven by natural continuous pointing gestures. Dasher is a competitive text-entry system wherever a full-size keyboard cannot be used.

All Dasher product information on this page was collected from the University of Cambridge Website. Axistive does not sell the Dasher or any other University of Cambridge product, you cannot buy Dasher at our website! We inform, review and report on University of Cambridge products like Dasher and any other assistive technology device or solutions like Dasher.

If you find errors in the Dasher description or Dasher details please inform us. If you want to write a review on Dasher or a related product of Dasher please contact us, we always appreciate your Dasher feedback. University of Cambridge and Dasher are trademarks of there respected owners. Contact University of Cambridge or the resellers of Dasher for information by the Request of Information or Quotation options given on this page.




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