Students

Exploring vignette game dynamics, and sharing agency in personal narrative through play This research questions how and why vignette games are used so effectively as a tool to convey personal, often challenging, stories. It examines the use of scene, perspective and mechanic to understand better the conversation between player and author, and the notion of player agency as collaboration and commitment within play....

Multidisciplinary researcher applying Multiagent Deep Reinforcement learning and Game theory to generate gameplaying AI agents for a wide variety of games.

Interaction and technical designer looking at how new players learn to play games and how best to support learning of games. Focusing on learning and supporting learning in Esport games.

Player experience researcher exploring decision-making in open world games, with a specific focus on when and why players deviate from the ‘main quest’

Improving Game AI Design Using Adversarial Agents This project proposes a novel method for improving the quality of behaviour of human authored agents by pitting them against trained agents and observing what bad behaviours/exploits the trained agents reveal....

Evolving evolvable representations of neural networks

Game design researcher looking at stage magic principles for extracting design inspiration for evoking motivating uncertainty. Specifically applying the forcing principle of equivoque for creating decision uncertainty in narrative games.

Games industry veteran and researcher with a bridging foot solidly placed in each camp. Gorm currently works on procedural content generation, virtual reality and mixed-initiative co-creative interfaces. He also has an interest in game design, participatory design, game jams and computer graphics.

Researcher working towards a programming model that can provide a reliable instant feedback loop. The goal is to facilitate better programmable tools for simulation, visual art, music and game development.

Researcher in games for rehabilitation and human robotics interaction, working on exploring the human neuromotor system coordination through intelligent games and robotic interfaces.

Psychology researcher using multiplayer online battle arena games such as Dota 2 to study how humans engage with risky situations. This is done through data-intensive methods: working with large gameplay datasets to draw inferences about human cognition and behaviour.

Livestream Highlight detection though Machine Learning, focusing on self-supervised and unsupervised Learning for uncovering the interesting and exciting moments in E-Sports livesteams.

Player behaviour tracking researcher working on cryptocurrency gambling transaction analysis. Especially interested in exploring analytical similarities between gambling and gaming transactions.

To build a robot that learns and makes decisions like a bumblebee, what algorithms would we need?

Deep Learning for Procedural Content Generation in Virtual Environments Ryan Spick is a PhD student with a computer science background, working on methods to improve how content (models, terrain, assets etc.) is created with an autonomous focus, with the main focus on generative deep learning to augment real-world data through a series of neural network layers to learn unlying properties of these data....

Using digital games to understand productive team dynamics. Especially interested in understanding how to develop cohesion in within newly formed virtual teams in competitive esport games..

PhD student researching the role of practice in the acquisition of complex skills. Interested in leveraging games and telemetry data to investigate cognitive-behavioural patterns that promote optimal learning.

A game focused design researcher exploring perspective challenging moments in games through the lens of reflection, critical design, eudemonic enjoyment, and meaningful mechanics.