Supplementary material for the paper "Personalised Electric Vehicle Acoustics with Generative AI: Dynamic Sonification and User Acceptance Study"
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Supplementary material for the paper: Alam, M. S., & Wang, Z., & Zhang, L., & Bazilinskyy, P. (2026). Personalised Electric Vehicle Acoustics with Generative AI: Dynamic Sonification and User Acceptance Study. Adjunct Proceedings of the 18th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI). Gothenburg, Sweden. https://doi.org/10.1145/3828158.3838227 Electric vehicles (EVs) reduce powertrain noise, creating safety challenges and opportunities for sound design. This paper examines whether generative audio supports personalised dynamic acoustics for future EVs. We report a research through design study in which AI-generated sound samples were selected, edited into seamless loops and embedded in a sonification (the process of translating non-auditory data into sound) prototype. The prototype connects a Processing vehicle interface to a Pure Data audio engine using Open Sound Control. Vehicle speed and throttle input modulate pitch, amplitude and load related parameters. A user study with 20 participants combined the Acceptance Scale with open questions. The results show moderately positive acceptance, with an average usefulness of …
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