AI-Driven Game Customisation

People

Supervisor

Research areas

Description

Humans have different levels of ability at playing games and performing various tasks. Finding a balance between skill and challenge for each player makes for a more enjoyable game experience, and can also improve productivity in non-game tasks.

Dynamic difficulty adjustment is one example of customisation, in which video games monitor the player and adjust the difficulty to match the player’s skills. 

There are many different methods and approaches that have been used for dynamic difficulty adjustment in games. For examples, see: https://scholar.google.com.au/scholar?hl=en&as_sdt=0,5&q=%22dynamic+difficulty+adjustment%22++in+games&scisbd=1

One particular topic of interest is incorporating measures of players’ physiological signals (e.g, heart rate or facial expression) into an adaptive model.

This project involves investigating a specific problem of your choosing related to AI-Driven Game Customisation and/or Dynamic Difficulty Adjustment in Games. If you would like to participate in this project, please send me a 1-2 paragraph proposal for your specific topic.

 

Keywords

AI, games, dynamic difficulty adjustment, customisation, HCI, player experience, play, biometrics

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing