Adaptive Tutorials for eSports Games
Within the past few years, eSports–organized competitive video gaming has grown rapidly as a cultural phenomenon and industry. Due to wide exposure on platforms like Twitch, eSports games attract many new players everyday, and the industry is actively concerned with broadening its player base. However, a majority of eSports tutorials are quite rudimentary, and such basic tutorials may leave new players frustrated and under-prepared to enjoy play.
This project explores how to design enjoyable and effective adaptive tutorials for complex game skills. It focuses on eSports in particular since they cover a broad range of player skills and game mechanics and provide vast amounts of ready metrics and data from which to analyse player interest and skill. The resulting adaptive tutorial systems and design guidelines would be of great value not just for eSports, entertainment games, and games for education: outside of the games industry, tutorials are used in educational, productivity, and creativity support software which would all benefit from improved tutorials.
Excelling in physics and mathematics, Joseph originally studied Engineering Mathematics at the University of Bristol. He covered a diverse range of topics from chaos theory to machine learning. Once acquiring his MEng, Joseph decided to utilise his experience and apply it to academic research focused on game design. Outside of his academic career, Joseph has taken on a variety of extracurricular activities including improvisational acting at the Edinburgh Fringe, music production, languages, and even hatching and rearing chickens.
Joseph plans to create and research games throughout his career, whilst focusing on game AI and design primarily. He hopes to expand his experiences to other areas of video games.
Home institution: York
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