- October 10, 2014
I have received the ACM User Interface
Software and Technology (UIST) Lasting Impact
Award for the paper SHARK2: a large vocabulary shorthand
writing system for pen-based computers. It was
published at UIST 2004. The citation reads: "Awarded for its
scientific contribution of algorithms, insights, and user
interface considerations essential to the practical
realization of large-vocabulary shape-writing systems for
graphical keyboards, laying the groundwork for new research,
industrial applications, and widespread user benefit".
- October 6, 2014
new group website is up! It is still a
bit thin on content at the moment.
- September 15, 2014
I have been appointed Honorary
in the School
of Computer Science at the University
of St Andrews.
- June 9, 2014
I will take up a University Lectureship in
in the Department
of Engineering at the University
of Cambridge later this year.
- May 14, 2014
I am quoted about the future of text entry
in the latest report
from the Pew Research Internet
- May 6, 2014
Our paper "AwToolkit: attention-aware user
interface widgets" received a Best Paper
Award at the 12th ACM International Working
Conference on Advanced Visual Interfaces
- March 20, 2014
I have been awarded the Royal Society of
Edinburgh Early Career Prize in Physical
Sciences, the Sir Thomas Makdougall
Brisbane Medal. See also here.
- January 20, 2014
There's an article in Financial
Times that quotes me about the
current state of touchscreen keyboards and
the future of text entry.
- November 29, 2013
I am listed in The
Courier Impact 100 at
11. A scan of my profile in the
newspaper is here.
- August 21, 2013
I have been named an
Innovator Under 35 (TR35) by MIT
Technology Review. My profile is here.
See also here,
- April 28, 2013
Technology Review has written a
really nice article
work on investigating
the memorability of gestures in
natural user interfaces.
- April 25, 2013
has written an
awesome article about our
KALQ keyboard optimised for thumb typing
touchscreen tablets (and a little about my
previous work on gesture
- April 12, 2013
Computing Reviews has named our recent
review article about foundational issues
in touchscreen gesture
design one of the
Notable Computing Books and
Articles of 2012. You can read our
review article here.
- April 2, 2013
Technology Review has written a
article about our work on Diff
- March 20, 2013
writes about our work on Diff
Displays that track visual changes
on unattended displays. You can also
listen to an interview with
Radio Scotland's Newsdrive (MP3 soundfile, 5.4
- March 11, 2013
been appointed a Member of the
Society of Edinburgh Young
Academy of Scotland. See also
- December 2, 2011
I am co-organising the CHI 2012 Workshop on Designing and Evaluating Text Entry Methods. If you are doing research related to text entry we want to hear about it! The format will be a friendly series of panel discussions on timely topics in text entry. Submission deadline is January 13, 2012. The workshop will be held on May 5, 2012 in Austin, Texas in conjunction with CHI 2012.
- September 29, 2011
The University of St Andrews writes about our work on
using crowdsourcing and online web sources to create
better statistical language models for AAC devices. Twitter: it's good to talk.
- September 2, 2011
We have released our Enron
mobile email dataset, a subset of the Enron
email dataset. It consists of genuine
mobile emails Enron executives wrote using their
BlackBerry devices. It is primarily intended to
increase the internal and external validity in
mobile text entry experiments. We have
added useful metadata for this purpose, such as sentence
memorability, full-sized keyboard entry and error
rates, and sentence category (business, personal,
Enron-specific). For further details see our MobileHCI
- August 12, 2011
We have released the source code
for our new continuous recognition algorithm for
pen strokes and touch-screen gestures. It
enables interactive systems to eagerly process users'
input before users have completed their input
gestures. We used this algorithm to design two new visualisations. For further details see our SBIM 2011 paper.
- July 25, 2011
Augmented and Alternative Communication (AAC) devices enable users with certain communication difficulties to engage in conversations, typically via a predictive text input interface. However, a problem is the lack of representative corpora, and as a result, well-performing language models. To help this situation we have just released an AAC corpus and associated language models for conversational language modelling. For further details see our EMNLP 2011 paper.
- March 30, 2011
I have moved to the School of Computer Science at the University of St Andrews.
- January 24, 2011
I will take up a lectureship in human-computer interaction at the University of St Andrews at the end of March this year.
- November 12, 2008
Dagens Nyheter (the leading newspaper in Sweden) has published an interview with me on ShapeWriter. Also appeared in Ny Teknik (cover story).
- August 19, 2008
Time Magazine: ShapeWriter "must have" for iPhone. Read the entire article at time.com.
- July 16, 2008
A free demonstrator of ShapeWriter is available for iPhone and iPhone Touch via the Apple Appstore! Click this link to reach the download page via iTunes.
This version uses the mobile phone optimized version of the ShapeWriter recognizer I developed and implemented when I was working Beijing. It was challenging since recognition accuracy had to be the same as the full-scale Tablet PC recognizer I developed at Linköping University and IBM Almaden Research Center in 2002-2003, while at the same time both recognition latency and memory space requirements needed to be trimmed by an order of magnitude (this paper presents the original ShapeWriter recognizer). The lexicon in the application has 60,000 words in it. So far there are 77 user reviews and an average score of 4/5. The majority of complaints stem from a couple of unfortunate bugs in the initial "writing pad" application part of the demonstrator. These bugs were fixed in V1.0.1. Try it!
- May 9, 2008 ShapeWriter, Inc. is one of the winners in the Google Android Developer Challenge Part I! Our entry featured a full-blown ShapeWriter recognizer capable of recognizing 60,000 words (U.S. English) in realtime on the Android Emulator. All our code was written in Java using the Google Android SDK.