Apple Swipe: A Mobile Game Apps for Visually Impaired Users Using Binaural Sounds

Norowi, Noris Mohd; Azman, Habibunnajar; Wahat, Nor Wahiza Abdul

doi:10.1145/3429360.3468209

Cited by 4 publications

(1 citation statement)

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“…Evaluation of sound designs will be done by normal players (players with vision) while wearing a blindfold. Previous research has shown that when VIs are not available for evaluation or testing, normal players with blindfolds can represent them [32] [33] [34]. It was also observed that while the blindfolded players can represent VIs, they cannot play the game as well as VIs while being blindfolded.…”

Section: A Sound Design Trackmentioning

confidence: 99%

DareFightingICE Competition: A Fighting Game Sound Design and AI Competition

Khan¹,

Nguyen²,

Dai³

et al. 2022

Preprint

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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. Dare-FightingICE 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. 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 their opponent; a sample deep-learning blind AI will be provided by us. Our means to maximize the synergy between the two tracks are also described. This competition serves to come up with effective sound designs for visually impaired players, a group in the gaming community which has been mostly ignored. To the best of our knowledge, DareFightingICE Competition is the first of its kind within and outside of CoG.

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Section: A Sound Design Trackmentioning

confidence: 99%