DareFightingICE Competition: A Fighting Game Sound Design and AI Competition
Ibrahim Khan, Thai Van Nguyen, Xincheng Dai, and Ruck Thawonmas

TL;DR
The DareFightingICE Competition at CoG 2022 introduced a novel fighting game platform with tracks for sound design and blind AI, aiming to enhance accessibility for visually impaired players and advance AI research in sound-based gaming.
Contribution
This paper presents the first competition combining sound design and AI for fighting games, promoting accessibility and AI development in a new gaming context.
Findings
Effective sound design strategies identified for visually impaired players
Baseline deep-learning blind AI demonstrated in competition setting
Synergy between sound design and AI approaches explored
Abstract
This paper presents a new competition -- at the 2022 IEEE Conference on Games (CoG) -- called DareFightingICE Competition. The competition has two tracks: a sound design track and an AI track. The game platform for this competition is also called DareFightingICE, a fighting game platform. DareFightingICE is a sound-design-enhanced version of FightingICE, used earlier in a competition at CoG until 2021 to promote artificial intelligence (AI) research in fighting games. In the sound design track, participants compete for the best sound design, given the default sound design of DareFightingICE as a sample, where we define a sound design as a set of sound effects combined with the source code that implements their timing-control algorithm. Participants of the AI track are asked to develop their AI algorithm that controls a character given only sound as the input (blind AI) to fight against…
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Taxonomy
TopicsArtificial Intelligence in Games
