University of York.  Experience design researcher interested in designing, developing and evaluating multimodal and mixed physical/digital user experiences. Keen to work in the areas of digital experiences and games for disabled people and those with mental or physical illnesses.

Queen Mary University of London. Computational Creativity researcher working on getting AI software to act creatively in an autonomous fashion, with applications to procedural content generation, whole game design, music, visual art, design, mathematics and software engineering.

Queen Mary University of London. Research leader seeking to understand how research can positively impact the games industry and wider society. Interested in using games/creativity/AI to determine promising future directions for games/creativity/AI research.

University of York. A designer-researcher working on games and playful design for enjoyment, learning, wellbeing, and climate adaptation. Especially interested in curiosity in games, motivational affordances, behaviour change, design research, psychology of games, methods for entertainment and applied game design.

University of York. Data scientist focusing on behavioral modeling in the Creative Industries.

Queen Mary University of London. Academic interested in applying gamification for human-machine interactive systems, including robotic-based rehabilitation.

Queen Mary University of London. Game AI researcher with a focus on computational game design: how can computers help design video games? Interested in computational creativity, procedural content generation, and applications of AI in game development.

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....

University of York. HCI researcher interested in new interactive media content forms and tools to support their creation. Particularly interested in data-driven experiences and how games and other media forms can help the public understand and benefit from data.

Queen Mary University of London. Research combines machine learning and motivational psychology. Work on technology for behaviour change, well being, and improving communication.

University of York. Human Computer Interaction researcher with interests in understanding learning as a part of gameplay, complex player experience, and using games for applied purposes e.g. education or wellbeing.

University of York. Weird x Play. Postdisciplinary researcher of playful/placeful/radical.  Not good at summaries.

University of York Robotics and AI researcher working on applied games, creative computation for healthcare and rehabilitation, trying to push the limits of what’s possible in these areas. Especially interested in designing with mixed-reality interfaces and embedding novel machine learning mechanisms for physical and cognitive behavioral changes.

University of York. Design researcher focusing on the roles of traditional storytelling and engagement in digital contexts. Particularly interested in environmental design and speculative design processes and approaches.

University of York. Using games to better understand the limitations of cognition, especially working memory, how distractors are ignored and how these change across the lifespan, and with cognitive training.

Queen Mary University of London. Computational linguistics (a.k.a. natural language processing), with a particular interest in informal, conversational language and what it tells us about people’s mental states.

Queen Mary University of London. Leads the audio engineering research team; exploring disruptive innovations for the creative industries; creating, investigating and delivering transformative technologies for audio production and sound design.

University of York. Computer vision researcher working on machine learning for vision and vision for graphics. Especially interested in capture and modelling of realistic face and body models and 3D computer vision

University of York. Application of AI and Machine LeAarning to problems in healthcare, particularly the diagnosis and monitoring of Parkinson’s, Alzheimer’s and related conditions. Co-founder and director of ClearSky Medical Diagnostics Ltd.

Queen Mary University of London. Dr Stockman is an interaction designer/researcher who investigates how technology can enhance accessibility and improve human performance.  He is particularly interested in technology to support spatial cognition and wayfinding, health monitoring  and improve performance levels in sport and music. This includes  the role of games in simulating these domains and supporting skill acquisition and enhanced performance.