UX Sound and Auditory Stimuli (UXSAS) Database
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Institute
106
The Vehicle Gas Spring Audio Set (VGSAD) was created as part of the bachelor's thesis "Acoustic Fault Detection in Plain Bearings"(Darina König, 2026).
The dataset contains audio recordings of automotive gas springs used in tailgates and engine hoods. The recordings were acquired to investigate the acoustic and psychoacoustic characteristics of different gas spring movements and to provide a dataset for sound quality analysis and signal processing.
Audio recordings were captured using a Sound Devices MixPre-3 recorder and a Sanken CO-100K microphone. All recordings are provided as mono WAV files with a sampling rate of 192 kHz and 32-bit floating-point resolution.
The ZIP archive contains recordings from 54 vehicles, each stored in a separate folder identified by an anonymous ID. Most vehicle folders contain eight audio recordings, covering all combinations of left/right side, opening/closing movement, and slow/fast operation. A small number of vehicles contain only four recordings, as they were equipped with a gas spring on only one side.
The archive is organized as follows:
Documentation, including an anonymized vehicle list with assigned IDs.
Raw audio recordings with acoustic clap markers used to identify the relevant measurement interval.
Processed audio recordings with the clap markers removed.
Each vehicle folder is identified by its anonymous ID. Audio files follow the naming convention:
`[side]-[movement]-[speed].wav`
side: left or right,
movement: opening or closing,
speed: slow or fast.
The recordings were made in two automotive workshop halls under generally quiet environmental conditions. Due to the measurement environment, some room reverberation is present in the recordings.
105
Many people do not read privacy policies because they are long, complicated and boring. For this reason, AI tools such as DSARly, Polisis and CLAUDETTE have been developed to summarize them for users. The usability of such software applications could be improved by the use of UX sounds. Therefore, in this study, ten auditory icons inspired by the special categories of personal data defined under the GDPR, were created using modular sound synthesis. The resulting auditory icons are: “heartbeat”, “DNA helix”, “eye scan”, “whistle”, “traditional music”, “megaphone”, “bed squeaking”, “church bells”, “singing bowl” and “kiss”. Subsequently, listening tests with participants were conducted in German language to evaluate, among other aspects, how intuitive these sounds are. The free-text responses provided by the study participants were categorized for analysis and mostly showed a high degree of overlap, indicating strong intuitiveness in the perceived associations during the first exposure to the sounds.
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This dataset contains white noise and pink noise stimuli for perceptual audio research and listening experiments. The signals were temporally adjusted for experimental use and loudness-normalized to −23 LUFS according to the EBU R128 recommendation to ensure consistent playback levels across different audio systems.
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This audio file contains a speech stimulus provided in WAV format (PCM). The signal was not subjected to dynamic range compression and was normalized to an integrated loudness of −23 LUFS in accordance with EBU R128. The file is intended for controlled experimental use in perceptual audio research.
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Kuss UX-Sound Auditory Icon
(2025)
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