Location: Room 8.18
Telephone: +44 (0)20 7679 7849 (x37849)
My research aims at understanding more about the process of transcribing numbers. This page explains more about the projects involved and links to publications and other media. Currently there are two main themes in my work:
entry is a highly pervasive task, whether it be entering our PIN at an
ATM, or dialing a phone number to entering in financial data or medical
information. The errors made in these contexts, particularly in the
medical domain, can have very serious consequences.
I created a Number Entry Error Taxonomy after collecting together many examples of number entry errors. Previously, a corpus of number entry errors like this did not exist. The taxonomy groups the errors together according to their potential causes and consequences.
The work is on going, and the taxonomy at present needs to be honed further. This taxonomy can be used to consider the types of errors users may make when using an device; different errors may be associated with different tasks and different interfaces.
work on digit distribution looks at the digits that are really being
used in hospitals. Motivated by my error work, I wanted to know more
about the frequency of each digit. Just as in English, the letters 'e'
appears far more often than 'q', I wondered whether there would be
similar patterns in digits.
For more information, please read my CHI 2012 WIP paper. Or see the associated poster.
In 2011 I presented the work at York Doctoral Sympoisum. The presentation video is available online.
During my recent Bright Club comedy stand-up routine, based upon my research I discussed some of my findings. The stand-up video can be found online.
Page last modified on 22 may 13 13:00 by Sarah E M Wiseman