Dr. Adam Clayden received his PhD from University of Edinburgh (2019) and was based in both the School of Informatics and the School of Philosophy, Psychology and Language Sciences, investigating the role of foveal vision in static and dynamic environments. His previous degree is a BSc with honours in Computer Gaming Technology from Anglia Ruskin University (2014). He worked as an indie game developer, as well as a principle investigator within the games industry, before returning at age 24 in 2017 to academia as possibly the youngest senior lecturer in the UK, to first lead game development at University of Sunderland, before turning to lead Computer Games Design at University of Suffolk.
His research interests are within the realm of vision science and experimental Psychology. The main topics of his recent research are:
- Visual search within dynamic scenes
- Importance of foveal vision to a visuo-cognitive task
- Target embedding algorithm development for both static and dynamic environments
- Visual search within virtual reality
At University of Suffolk, Adam is the Course Leader for BA (Hons) Computer Games Design, and specialises in programming within languages such as C#, development within Unity, rapid prototyping and games research methods.
Currently, Adam teaches and assists in the following modules:
- Design Methods
- Introduction to Digital Production Techniques: Scripting
- Group projects (all)
- Studio Practice
- Digital Scripting
- Design Masterclass
- Final Project
Other areas of activity include Adam being an active contributor in the Elder Scrolls II: Daggerfall for Unity project, as well as tools development for retro game hacking within the Golden Sun franchise. Adam is also a site organiser for the Global Game Jam team, and currently pursuing the route to become an international instructor for Unity.
University of Edinburgh School of Informatics guest lecture on Computer Vision
University of Edinburgh Human Cognitive Neuroscience seminar talk on Vision Science
Clayden, Adam (2019) The role of foveal vision in static and dynamic environments. Doctoral thesis, University of Edinburgh.