McIntosh, Tyler Howard, Weinel, Jonathan ORCID: 0000-0001-5347-3897 and Cunningham, Stuart (2022) Lundheim: exploring affective audio techniques in an action-adventure video game. In: AM '22: Proceedings of the 17th International Audio Mostly Conference. AudioMostly 2022 St. Pölten Austria September 6 - 9, 2022. AudioMostly 2022 . Association for Computing Machinery (ACM), New York, pp. 155-158. ISBN 978-1450397018; (doi:https://doi.org/10.1145/3561212.3561234)

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Abstract

This paper discusses Lundheim, a video game prototype made in Unity that incorporates interactive mechanisms based on affective computing techniques, which are used to control audio-visual aspects of the game. The project is based on a fictitious Old Norse realm named ‘Lundheim’, a place where emotions are woven into the fabric of reality. The game utilises Russell’s circumplex model of affect, providing four runes which correspond with different sections of the circumplex model. The player must activate each rune by entering the corresponding emotion state, which is captured using a consumer-grade Interaxon Muse electroencephalograph (EEG) headband. Activating each emotion triggers particle effects and corresponding sonic materials including interactive music, which are implemented with the Wwise video game audio middleware software. The project thereby demonstrates a novel implementation of affective technologies and sound in a video game, contributing towards discourses in this area of research.

Item Type:	Conference Proceedings
Title of Proceedings:	AM '22: Proceedings of the 17th International Audio Mostly Conference. AudioMostly 2022 St. Pölten Austria September 6 - 9, 2022
Uncontrolled Keywords:	affective computing; biofeedback; video games; sound design; interactive music; action-adventure games; game mechanics
Subjects:	N Fine Arts > N Visual arts (General) For photography, see TR Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Liberal Arts & Sciences > Sound-Image Research Group
Last Modified:	07 Dec 2022 10:40
URI:	http://gala.gre.ac.uk/id/eprint/37096

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