SYSYAPJun 26

Effects of motion cueing on longitudinal acceleration perception in a driving simulator

arXiv:2606.28055
Originality Synthesis-oriented
AI Analysis

This work addresses the need for early driveability assessment in heavy-truck development using simulators, but the results are incremental as they confirm known perceptual thresholds without novel methodological advances.

The study evaluated the just-noticeable difference (JND) for longitudinal acceleration in a driving simulator with different motion cueing algorithms, finding no significant differences between variants and a mean JND of 5.4%.

The driveability of a new heavy-truck driveline is traditionally assessed using physical prototypes. Enabling early evaluation of the driving experience in a human-in-the-loop driving simulator using a virtual prototype has the potential to significantly improve development efficiency. To enable driveability assessment using a moving-base simulator, participants must be able to perceive small differences in longitudinal acceleration. The just-noticeable difference (JND) was therefore evaluated for two variants of the classical motion-cueing algorithm (MCA) tuned specifically for tip-in/launch tests and compared to a more general variant in a driving simulator with a long linear track. Psychometric functions were fitted to responses obtained using a weighted staircase procedure and analysed using a generalized linear model. No significant differences in JND were found between the motion cueing variants. The mean JND across all participants and MCA variants was 5.4%. The mean point of subjective equality in the JND experiment was -1.9%, suggesting that participants perceived the acceleration as higher in the second stimulus of a pair. In a subjective comparison, most participants preferred the motion cueing variants that were tuned for launch manoeuvres over the general variant.

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