Next Generation
Titel
Bassin
Datum
Inventarnummer
#neos-NextGen2025.fhuanlx8
Autor/en
Abstract
This Master's thesis explores the artistic and compositional potential of commercial game engines through the development of 'Bassin', a digital prototype that repurposes Unreal Engine 5 as a tool for sound-based expression.

Drawing on concepts such as slow play, refrain, and the ambience act in relation to generative music, the work examines how atmosphere and interaction can be shaped through adaptive audio systems and subtle visual design.

'Bassin' invites players into a meditative, cyclic experience that balances interaction and observation. At its core lies a modular MetaSounds system that uses a personal archive of audio material, enabling generative compositions to evolve within a self-contained environment.
The project critically reflects on the platformization of game engines and proposes an alternative approach that values slowness, reflection, and atmospheric presence as meaningful modes of engagement.
Metadata
WorkType Master of Arts FHNW in Transversal Design
Event Next Generation 2025
CourseType Seminar
Rights All rights reserved. Free public access at FHNW websystems(including IRF, InK, Websites).
Key fhuanlx8
DateAdded 2025-05-28T15:31:19+00:00
DateModified 2025-09-11T12:14:05+00:00
Subtitle Reclaiming Game Engines to Create Atmospheric Soundscapes