I am interested in how individuals interact with data-intensive, complex and critical information artefacts such as electronic health records and ontologies. Little is known about how to make these interfaces easy to use, principally because the activities users carry out are not well understood. Conceiving and applying empirical methods to better understand the difficulties of the users, identifying the strategies employed to overcome these problems and discovering the activity patterns is the focus of my research.
I received a PhD in Computer Science at the University of the Basque Country on web accessibility assessment, evaluation and measurement. I keep active in the field and publish papers about defining web accessibility, the limitations of web accessibility evaluation tools, the perception of web accessibility by proffessionals and the role of expectations on user tests.
markel . vigo at manchester . ac . uk
+44 (0) 161 275 0143
2.32 Kilburn Building
School of Computer Science
M13 9PL, Manchester (UK)
3/2016 — Two journal papers accepted: Exploring the relationship between web accessibility and user experience was accepted to the International Journal of Human-Computer Studies. We found that perceived Web accessibility is significantly correlated with UX, while the relationship between UX and conformance to WCAG 2.0 is more elusive. In Group versus Individual Web Accessibility Evaluations: Effects with Novice Evaluators, which was accepted to Interacting with Computers, we found that employing a group of two people is more useful than having individuals carrying out the assessment in order to reduce the false negatives rate.
12/2015 — Conference paper: we got a paper accepted to CHI 2016: To Sign Up, or not to Sign Up? Maximizing Citizen Science Contribution Rates through Optional Registration. We run an A/B testing experiment on Reading Nature's Library citizen science platform and we found that optional registration maximizes citizen science contribution rates.
11/2015 — New project: I'm happy to announce that the EU H2020 programme is going to fund the MOVING project with ~€3.5M during 3 years. Through this project we will enable users to improve their information literacy by training how to use, choose, reflect and evaluate data mining methods in connection with their daily research tasks and to become data-savvy information professionals. I'm the University of Manchester PI in a consortium with 9 project partners across 6 countries led by the Centre for Research and Technology-Hellas (CERTH) and includes The German National Library of Economics, Ernst & Young and The Leibniz Institute for the Social Sciences among others.