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Matthew Warburton

Matthew Warburton

PhD Student

    Interests
    • Decision making
    • Motor control
    • Virtual reality
    Twitter
  • m_warb
  • GitHub
  • mwarb
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  • Matthew Warburton
  • Email

Profile

I gained my Mechanical Engineering MEng from the University of Leeds in 2016. I worked in industry as a design engineer for a company designing automation machinery, before returning to academia as a research assisstant. I then started my PhD in 2019.

Research interests

I joined the lab due to my interest in virtual reality and how it can be used to study behaviour, and worked on the Human-Like Computing project where we investigated how humans navigate cluttered environments. I am interested in behaviour where motor control and decision-making meet, and have investigated this using a variety of methods, including virtual reality and online experiments.

Qualifications

  • MEng Mechanical Engineering

Papers

  • Studying human behavior with virtual reality: The Unity Experiment Framework
    Jack Brookes, Matthew Warburton, Mshari Alghadier, Mark Mon-Williams, Faisal Mushtaq Behavior research methods; 2020
    Webpage PDF
  • Human-like planning for reaching in cluttered environments
    Mohamed Hasan, Matthew Warburton, Wisdom C Agboh, Mehmet R Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G Cohn 2020
    Webpage PDF
  • Getting stuck in a rut as an emergent feature of a dynamic decision-making system
    Matthew Warburton, Jack Brookes, Mohamed Hasan, Matteo Leonetti, Mehmet Dogar, He Wang, Anthony Cohn, Faisal Mushtaq, Mark Mon-Williams bioRxiv; 2020
    Webpage PDF
  • Learning manipulation planning from VR human demonstrations
    Mohamed Hasan, Matthew Warburton, Wisdom C Agboh, Mehmet R Dogar, Matteo Leonetti, He Wang, Faisal Mushtaq, Mark Mon-Williams, Anthony G Cohn 2020
    Webpage
  • Skill acquisition as a function of age, hand and task difficulty: Interactions between cognition and action
    Rachael K Raw, Richard M Wilkie, Richard J Allen, Matthew Warburton, Matteo Leonetti, Justin HG Williams, Mark Mon-Williams PloS one; 2019
    Webpage PDF
Copyright Immersive Cognition 2021