Mara Münder ^1,2,3* Gregor-Johannes Müller ¹ Marius Raab ^2,4 Claus-Christian Carbon ^2,3,5

• ¹ BMW (Germany), Munich, Germany
• ² EPAEG (Ergonomics, Psychological Aesthetics, Gestalt), Bamberg, Bavaria, Germany
• ³ Bamberg Graduate School of Affective and Cognitive Sciences, University of Bamberg, Bamberg, Bavaria, Germany
• ⁴ Nuremberg Campus of Technology (NCT), Nuremberg, Germany
• ⁵ Department of General Psychology and Methodology, University of Bamberg, Bamberg, Germany

The evaluation of a soundscape is a challenging task as the object of study is not a stationary event of sensation but rather a dynamic and complex scene stretching over a specific period. To do justice to the time dimension in such acoustic scenes, we utilized the Continuous Evaluation Procedure (CEP), introduced by Muth et al. (2015). Extending common standard instruments asking participants for a singular integral at the end of the sound experience (e.g., on a rating scale), the participants in this study were enabled to continuously evaluate the evolving acoustic scene of accelerating electrified vehicles (EVs) using CEP. With the increasing electrification of powertrains in the automotive industry, acoustic engineers face the challenge of defining innovative sounds using the availabilities of now low-noise emission platforms of EVs that deviate in their noise profiles from familiar but technologically outdated internal combustion engine vehicles (ICEVs), which have defined the general sound schemes for more than a century. To capture dynamic aspects in the quality perception of powertrain noise in EVs, we asked 37 participants to evaluate acoustic recordings of different vehicles in varying acceleration modes in a high-quality three-dimensional (3D) acoustic simulator. Thereby, we revealed much more detailed and time-dependent quality aspects, which do not come forth in an integral singular measure (ISM) where all impressions experienced during the ongoing acoustic scene are blended together. We, therefore, propagate the systematic application of the CEP method when it comes to the qualitative evaluation of transient acoustic scenes. CEP opens the great opportunity to unfold, detect, and analyze dynamic effects in soundscapes and noise profiles, but of any kind of acoustic signal.