Judith Borghouts

Judith Borghouts
PhD student
[email address hidden]
+44 (0)20 3108 7071 (x57071)
Room: 3.05
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom

I am interested in the way we transcribe data and how different strategies have an effect on performance and errors we make whilst doing this task. In particular, I am interested how people self-interrupt work to look up task-relevant information. These interruptions, though necessary to complete the task, can be disruptive and people can get diverted by distractions, losing focus on their work. I am exploring design interventions to help people be more aware of their behaviour and adopt better data entry strategies.

Brief biography

I have done my BSc at the University of Amsterdam in Information Science, and my MSc at the University of York in Human Centred Interactive Technologies.

Research Publications

Judith Borghouts, Duncan Brumby, Anna Cox TimeToFocus: Feedback on Interruption Durations Discourages Distractions and Shortens Interruptions 2020 ACM Transactions on Computer-Human Interaction, Journal article
Judith Borghouts, Duncan Brumby, Anna Cox Looking Up Information in Email: Feedback on Visit Durations Discourages Distractions 2018 CHI Conference on Human Factors in Computing Systems Extended Abstracts, Conference paper (text), Montreal, CA
Judith Borghouts, Duncan Brumby, Anna Cox Batching, Error Checking and Data Collecting: Understanding Data Entry in a Financial Office 2017 Proceedings of 15th European Conference on Computer-Supported Cooperative Work - Exploratory Papers, Reports of the European Society for Socially Embedded Technologies, Conference paper (text), Sheffield, UK
Sarah Wiseman, Judith Borghouts, D Grgic, Duncan Brumby, Anna Cox The effect of interface type on visual error checking behavior 2015 Proceedings of the Human Factors and Ergonomics Society, Conference paper (text)
Judith Borghouts, F Soboczenski, Paul Cairns, Duncan Brumby Visualizing magnitude: Graphical number representations help users detect large number entry errors 2015 Proceedings of the Human Factors and Ergonomics Society, Conference paper (text)