コンテンツへスキップ

PhD Research

Researcher in HCI

Investigation on how Mixed Reality (MR) technology impacts human cognition and how it may make scientific processes, particularly multi-dimensional visual analytics, cognitively more efficient. 

Human-computer Interaction, Technology Enhanced Learning and Cognitive Science

Yuko Suzuki is a PhD candidate at the Institute of Educational Technology, The Open University UK. With over a decade of experience as a TV producer and director, she is dedicated to making science more comprehensible through cutting-edge visual media technology.

Yuko is currently investigating how Mixed Reality (MR) on Spatial Computing platforms can enhance multi-dimensional data analysis in specialist scientific fields at cognitive levels. Her research employs physiological approaches, including eye-tracking, to achieve more unbiased assessments of cognitive processes.

Adapting the frameworks of cognitive load theory (CLT) and cognitive theory of multimedia learning (CTML), Yuko seeks to develop more efficient and effective uses of MR to support contemporary scientific advancement and knowledge transfer.

Originally from Japan, Yuko earned her BA in Philosophy and History of Science from Kyoto University and her MSc in Science and Technology Studies from Imperial College London. Her study interests lay in the concepts of quantum mechanics and molecular biology, particularly the contributions made by physicists such as Niels Bohr and Erwin Schrödinger.

Literature Review

You can read our systematic literature review from the work in my 1st year of PhD in the link below. It is published in Journal of Computer Assisted Learning. It’s open access and full text is available on ResearchGate.

Measuring cognitive load in augmented reality with physiological methods: A systematic review

https://onlinelibrary.wiley.com/doi/10.1111/jcal.12882

Pilot Study

Measuring cognitive load with eye0tracking during mental rotation with 2D and 3D visualization in AR

Conference proceedings link will be added as soon as it’s available!

iLRN2024 Presentation Slides

Initial Research Proposal

Here is the original research proposal back in 2020, which has evolved a lot since then.