If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

I'm interested in using machine learning to extract meaning and value from data and presenting this to users in a way that promotes understanding and trust. This not only means being transparent regarding the provenance of the data, but also making the reasoning accessible and understandable to users who may be domain experts but have little or no knowledge of machine learning algorithms. Without trust there is little point to performing the inferencing as users and stakeholders will not act on the results no matter how interesting they might first appear. 

My lab uses a mixture of machine learning, psychophysics, data visualisation and ethical crowd-sourcing. Current projects range from appearance rendering of ultrasound projects and examining the texture of gas turbine blades to providing strategic level summaries of large project portfolio and providing smart support for research landscaping and strategy development meetings of up to one hundred stakeholders.

Biography

I have a first in Electrical & Electronic Engineering from Glasgow and PhD in image processing from Heriot-Watt. For a while after graduation I was a software engineer on mainly military related projects and did consultancy in Europe before taking up a post initially in Heriot-Watt’s Electrical Engineering Department.

I have successfully supervised over twenty phds, published over 100 peer-reviewed papers, have chaired a number of leading international conferences and workshops and attracted has multi-million pound EU and national funding.  I been a member of a considerable number of EPSRC, ESRC, Data Lab and InnovateUK prioritisation panels and have been involved in strategy development for ESRC, EPSRC and InnovateUK (for instance I have been a member of thje EPSRC ICT SAT and DE’s PAB).

External positions

Ocean University of China

10 Jan 2007 → …

Fingerprint Dive into the research topics where Michael John Chantler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Textures Engineering & Materials Science
Sonar Engineering & Materials Science
Lighting Engineering & Materials Science
Textiles Engineering & Materials Science
Classifiers Engineering & Materials Science
Feedback Engineering & Materials Science
Navigation Engineering & Materials Science
Sensors Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1988 2019

Challenges in Collaborative HRI for Remote Robot Teams

Hastie, H., Robb, D. A., Lopes, J. D., Ahmad, M., Le Bras, P., Liu, X., Petrick, R. P. A., Lohan, K. & Chantler, M. J., 2019, CHI2019 Workshop on The Challenges of Working on Social Robots that Collaborate with People (SIRCHI 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

Exploring Interaction with Remote Autonomous Systems using Conversational Agents

Robb, D. A., Lopes, J., Padilla, S., Laskov, A., Garcia, F. J. C., Liu, X., Scharff Willners, J., Valeyrie, N., Lohan, K., Lane, D., Patron, P., Petillot, Y., Chantler, M. J. & Hastie, H., 18 Jun 2019, DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference. ACM, p. 1543-1556 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Robots
Offshore wind turbines
Transparency
Engineers
User centered design

An Agglomerative Layout Algorithm

Chantler, M. J., 2018, (Unpublished) p. 1-3, 3 p.

Research output: Working paperDiscussion paper

Improving User Confidence in Concept Maps: Exploring Data Driven Explanations

Le Bras, P., Robb, D., Methven, T., Padilla, S. & Chantler, M. J., 21 Apr 2018, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 404

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Strategic planning
Decision making

Issues affecting user confidence in explanation systems

Robb, D. A., Padilla, S., Methven, T. S., Liang, Y., Le Bras, P., Howden, T., Gharavi, A., Chantler, M. J. & Chalkiadakis, I., 30 Jul 2018, In : CEUR Workshop Proceedings. 2151

Research output: Contribution to journalConference article

Open Access
File
Artificial intelligence
Learning systems
Catalysts
Deep learning

Prizes

Honourable Mention ACM CHI 2017 Research Papers and Notes

Stefano Padilla (Recipient), Thomas Methven (Recipient), David Robb (Recipient) & Michael John Chantler (Recipient), 8 May 2017

Prize: Prize (including medals and awards)

Honourable Mention ACM DIS 2017 Research Papers and Notes

David Robb (Recipient), Stefano Padilla (Recipient), Thomas Methven (Recipient), Britta Kalkreuter (Recipient) & Michael John Chantler (Recipient), 13 Jun 2017

Prize: Prize (including medals and awards)

Activities 2017 2017