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The BildKlangPoet - a Framework for Designing Mixed Reality Painting Experiences Using Generative AI
(2025)
Psychoakustische Forschung setzt vermehrt auf den Einsatz audiovisueller virtueller Realität, um multimodaler Bewertungseinflüsse Rechnung zu tragen und so die damit zusammenhängende ökologische Validität und Alltagsnähe erzielter Ergebnisse aus Laborstudien zu erhöhen. Studien lassen jedoch vermuten, dass multimodale kontextbezogene Einflussfaktoren wie Raumdivergenz (hier Unterschiede in virtuell präsentiertem Raum und realer Umgebung) und intrinsische Erwartungshaltung einen signifikanten Einfluss auf die durch virtuelle Umgebungen induzierte kognitive Beanspruchung und somit die Geräuschbewertung haben. Um zu untersuchen, inwieweit physische Präsenz in einem zur VR-Umgebung visuell divergenten realen Raum die kognitive Belastung und die Geräuschbewertung beeinflussen, wurde ein 2x2 Between-Subjects-Experiment in einer virtuellen Büroumgebung durchgeführt. Dazu wurde eine reale Umgebung in Unity nachgebildet und den Versuchsteilnehmer*innen über ein Head-Mounted Display (HMD) präsentiert. Je nach Kondition wurde der Versuch im visuell kongruenten oder divergenten physischen Raum durchgeführt. Dynamische, binaurale, über Kopfhörer präsentierte Bürogeräuschszenarien sollten dabei in allen Konditionen, hinsichtlich ihrer Lautheit und Unangenehmheit retrospektiv bewertet werden. Um zusätzlich die induzierte kognitive Beanspruchung genauer zu untersuchen, wurden Teilnehmer*innen aufgefordert, je Kondition entweder lediglich die Geräusche zu bewerten oder zusätzlich parallel den Stroop-Test durchzuführen. Erste Ergebnisse weisen auf eine signifikante Veränderung der Geräuschwahrnehmung im divergenten Raum hin. Implikationen für das experimentelle Design im Bereich der psychoakustischen Forschung werden diskutiert.
The Lombard Effect and its impact on human speech production, also known as ‘Lombard Speech’, have been investigated in numerous scientific studies. It is known that the intensity, but also the type of background noise can affect Lombard Speech. By contrast, the potential effect of a gradual reduction of the amplitude of the background noise has received little attention in previous research. To test for such an effect, we split 34 participants into couples and had them orally compare images. In the experimental condition, there was background noise (masker) whose amplitude was reduced from 70 to 50 dB(A) over a period of 100 seconds. Measures of speech production after this decay were compared to those of a reference condition in which the masker was constantly at 50 dB(A). We hypothesized that speech production due to prior exposure to a louder masker would show a stronger expression of Lombard Speech in the experimental compared to the reference condition. The results showed a significant difference regarding the level of the first formant F1 across conditions, but not regarding the overall dB(A) level. However, tendencies could be identified, which can serve as a basis for further investigations.
The development of the ISO 12913 has led to the creation of standardized methodologies for collecting and analyzing individual responses regarding acoustic environments in context, with the aim of enabling comparability, replicability, and the development of modelling algorithms in soundscape prediction and design tasks. The development of methods to represent and explore soundscape data has the potential to facilitate deeper insights into different datasets. Although it is unlikely that any single method will sufficiently capture all information in empirical studies, attempts are worthwhile to facilitate advancements in this realm. Therefore, we propose a web application that fosters an interactive exploration of datasets based on the ISO 12913. The application facilitates a comprehensive soundscape search using the 8 items of the standard, 8 features characterizing the soundscape (e.g., intensities of natural, human, and technical sound sources heard), and 10 distinct acoustic features. The search encompasses all possible combinations of these components, thus facilitating detailed exploration, offering an in-depth dataset overview, and enabling the comparison of different datasets. Further functionalities include text searching and the option to download, save, and load selected soundscapes, enhancing control and flexibility in the design of empirical studies and supporting urban planners in understanding various soundscape items.
Understanding people's perception of everyday sound involves a complex interplay of various acoustic and non-acoustic factors. Our objective is to uncover important predictors for predicting real indoor soundscapes. To this end, we re-analyzed soundscape data recorded and evaluated by individuals in their homes, aiming for the utmost ecological validity. Given the intricate nature of sound perception and potential non-linear effects of acoustic and psychoacoustic predictors, we utilized machine-learning methods combined with hierarchical linear modeling to analyze 6375 soundscapes from 96 participants including acoustical, psychoacoustical, as well as situational und person-related predictors. Based on this analysis, we measured both the variability within and between subjects and obtained model fits for the prediction of both soundscape pleasantness and eventfulness. In order to discuss cases where predictions for known individuals or places are of interest, we employed (nested) cross-validation using different data-splitting methods. By doing so, our study sheds light on the generalizability of empirical findings when predicting soundscape evaluations for unknown or known subjects and thus supports a deeper understanding of everyday sound perception.
Noise sensitivity is a widely used, yet inconsistently defined, concept of being disturbed by environmental noise, independent of loudness levels. The origins of noise sensitivity are mostly unclear, but it has a higher prevalence among people with attention deficit hyperactivity disorder and autism, and could be caused by increased neural excitation due to sound, resulting in increased cognitive load. In this case, noise sensitivity can be expected to decrease people’s mental performance in both auditory and non-auditory tasks. The former was tested in an experiment using a dual-task paradigm where participants had to solve a visual task in the presence of environmental sounds and afterwards had to recall which sounds they perceived and to evaluate the overall soundscape pleasantness and loudness. Preliminary results indicate that participants’ noise sensitivity is positively correlated with the experienced cognitive load as well as with loudness and unpleasantness judgments. Also, noise sensitivity was negatively associated with the performance in the recall task and the test-retest-reliability of their judgments. These findings support the idea that noise sensitivity is a consequence of difficulties in filtering irrelevant auditory information.