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I am a Senior Lecturer in the Department of Computer Science, University of Manchester. I am also a member of the Interaction Analysis and Modelling Lab.

CONTACT

markel . vigo at manchester . ac . uk

@markelvigo

+44 (0) 161 275 0143

2.32 Kilburn Building

Department of Computer Science

School of Engineering

M13 9PL, Manchester (UK)

PROFILE

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TEAM

Deemah Alqahtani (PhD student, Y4)

He Yu (PhD student, Y3)

Mohammed Alhamadi (PhD student, Y2)

Co-supervised PhD students

Alaa Alahmadi, Y4

Alex Hambley, Y1

a cat

markel vigo

A picture of myself

I'm interested in understanding and modeling user behaviour in complex interactive systems. My research takes two complementary approaches:

  1. Building systems that enable human-centred data science by facilitating wrangling and pattern mining of behavioural data;
  2. Seeking indicators of search strategies, attention, usability problems and knowledge acquisition.

I'm currently working in three main spaces: in the health domain I explore how clinical dashboards, EPRs, patient portals and health tracking apps are used by clinicians and patients; in the software engineering domain I examine how engineers construct knowledge artefacts (i.e. ontologies) and task models; and, finally, on learning systems, I seek activities that are proxies of usability problems and knowledge acquisition.

I received a PhD in Computer Science from the University of the Basque Country about web accessibility assessment, evaluation and measurement. I keep active in the accessibility field and publish papers about:

LATEST NEWS

October 2020 — Our work on moderating physical activity goals will be published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, IMWUT.

As a follow up to our work on reflection under uncertainty in self-tracking systems we developed FitReflect, a mobile app that provides a moderated secondary goal which is informed by the confidence of users in attaining their primary goals. A four week experiment suggests that moderated goals make users to update their primary goals more often and align their goals with their physical activity. Consequently, we observe an increase in the achievement rate and satisfaction of users.