Thomas Methven

thomas methven

Dr Thomas Methven

Lecturer in Data Science

Biography

Dr. Methven gained an MSc (with Distinction) in Software Engineering from Heriot-Watt University. His dissertation involved creating a finger-tracking system using an infrared LED array and a Wiimote that allowed school children to play a virtual piano by moving their fingers in the air. Following from this, his PhD investigated using images of glossy, complex surfaces rendered with a physically accurate reflectance model, to discover whether viewing images in stereoscopic 3D – rather than as simple images – altered the perceptual strength of the surface gloss.

As a post-grad, he moved into the areas of Data Science and Visualisation, with a particular interest in interactive visualisation of both small and big data sets. He creating Well Sorted (www.well-sorted.org), an online web tool for performing and visualising remote card sorting tasks. At the time of writing, the application has been cited in two major funding calls worth more than £10 million and has been used for 205 meetings, with users including five UK Research Councils, InnovateUK, and more than 50 national and international universities. Beyond that, he has worked on designing visualisation for large data sets, using a combination of dimensionality reduction and clustering methods.

After moving to Edinburgh Napier University in 2018, he has become embedded in the growing Data Science special interest group. In particular, he designed the BSc (Hons) Data Science (Graduate Apprenticeship) course and in currently Programme Leader for it. He is also an active and founding member of the Data Science and Cyber Analytics (DSCA) Research Group within the School of Computing.

Date


14 results

Improving User Confidence in Concept Maps: Exploring Data Driven Explanations

Conference Proceeding
Le Bras, P., Robb, D. A., Methven, T. S., Padilla, S., & Chantler, M. J. (2018)
Improving User Confidence in Concept Maps: Exploring Data Driven Explanations. In CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systemsdoi:10.1145/3173574.3173978
Automated tools are increasingly being used to generate highly engaging concept maps as an aid to strategic planning and other decision-making tasks. Unless stakeholders can u...

Image-based Emotion Feedback: How Does the Crowd Feel? And Why?

Conference Proceeding
Robb, D. A., Padilla, S., Methven, T. S., Kalkreuter, B., & Chantler, M. J. (2017)
Image-based Emotion Feedback: How Does the Crowd Feel? And Why?. In DIS '17 Proceedings of the 2017 Conference on Designing Interactive Systems, (451-463). https://doi.org/10.1145/3064663.3064665
In previous work we developed a method for interior designers to receive image-based feedback about a crowd’s emotions when viewing their designs. Although the designers clear...

Understanding Concept Maps: A Closer Look at How People Organise Ideas

Conference Proceeding
Padilla, S., Methven, T. S., Robb, D. A., & Chantler, M. J. (2017)
Understanding Concept Maps: A Closer Look at How People Organise Ideas. In CHI '17 Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, (815-827). https://doi.org/10.1145/3025453.3025977
Research into creating visualisations that organise ideas into concise concept maps often focuses on implicit mathematical and statistical theories which are built around algo...

A Picture Paints a Thousand Words but Can it Paint Just One?

Conference Proceeding
Robb, D. A., Padilla, S., Methven, T. S., Kalkreuter, B., & Chantler, M. J. (2016)
A Picture Paints a Thousand Words but Can it Paint Just One?. In DIS '16 Proceedings of the 2016 ACM Conference on Designing Interactive Systems, (959-970). https://doi.org/10.1145/2901790.2901791
Imagery and language are often seen as serving different aspects of cognition, with cognitive styles theories proposing that people can be visual or verbal thinkers. Most feed...

Well-Connected: Promoting Collaboration by Effective Networking

Conference Proceeding
Robb, D. A., Methven, T. S., Padilla, S., & Chantler, M. J. (2016)
Well-Connected: Promoting Collaboration by Effective Networking. In CSCW '16 Companion Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, 90-93. doi:10.1145/2818052.2874333
We have developed a method and system that uses mutually agreed problem structuring and self-selection to bring together meeting attendees with complementary interests. The me...

What To Study In HCI? A Reflection Based On CHI and UK Research Data

Presentation / Conference
Padilla, S., Methven, T. S., Robb, D. A., & Chantler, M. J. (2015, April)
What To Study In HCI? A Reflection Based On CHI and UK Research Data. Presented at What to Study in HCI? Workshop at CHI’15: 33rd Annual ACM Conference on Human Factors in Computing Systems
HCI is a wide, varied, and complex field that covers a broad spectrum of research. We therefore believe that there is no simple answer to the question 'what to study in HCI?' ...

I Don't Think We've Met: Encouraging Collaboration via Topic-Based Search

Conference Proceeding
Methven, T. S., Padilla, S., & Chantler, M. J. (2015)
I Don't Think We've Met: Encouraging Collaboration via Topic-Based Search. In CSCW'15 Companion Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing, 29-32. doi:10.1145/2685553.2702678
We present PaperPilot1 (bit.ly/paperpilot) a new tool which performs smart collaborator search using research concepts automatically extracted from the CSCW domain, as charact...

Is British HCI Important? A topic-based comparison with CHI

Presentation / Conference
Padilla, S., Methven, T. S., & Chandler, M. J. (2014, September)
Is British HCI Important? A topic-based comparison with CHI. Paper presented at HCI 2014 - Sand, Sea and Sky - Holiday HCI
We have applied topic modelling to the full-text British HCI and CHI corpora in order to automatically derive one hundred topics and their trends. We use these to compare the ...

Hot topics in CHI: trend maps for visualising research

Conference Proceeding
Padilla, S., Methven, T. S., Corne, D. W., & Chantler, M. J. (2014)
Hot topics in CHI: trend maps for visualising research. In CHI EA '14 CHI '14 Extended Abstracts on Human Factors in Computing Systems, 815-824. doi:10.1145/2559206.2578867
The aim of this paper is to introduce a novel method of identifying and visualising research trends in an automated, unbiased way. The output of this we call a 'Trend Map', an...

How Well Do Computational Features Perceptually Rank Textures? A Comparative Evaluation

Conference Proceeding
Dong, X., Methven, T. S., & Chantler, M. J. (2014)
How Well Do Computational Features Perceptually Rank Textures? A Comparative Evaluation. In ICMR '14 Proceedings of International Conference on Multimedia Retrieval, 815-824. doi:10.1145/2578726.2578762
Inspired by studies [4, 23, 40] which compared rankings obtained by search engines and human observers, in this paper we compare texture rankings derived by 51 sets of computa...

Pre-Napier Funded Projects

  • Business Document Categorisation
  • Changing the Culture of Strategy Development / Transforming National Research Portfolio Management
  • Charting the Digital Lifespan
  • ICT Perspectives