J
Jürgen Hellbrück
Researcher at Catholic University of Eichstätt-Ingolstadt
Publications - 40
Citations - 1117
Jürgen Hellbrück is an academic researcher from Catholic University of Eichstätt-Ingolstadt. The author has contributed to research in topics: Recall & Noise. The author has an hindex of 16, co-authored 40 publications receiving 938 citations. Previous affiliations of Jürgen Hellbrück include The Catholic University of America.
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Effects of Classroom Acoustics on Performance and Well-Being in Elementary School Children: A Field Study
TL;DR: The authors found that children are more impaired than adults by unfavorable listening conditions such as reverberation and noise, and that the acoustical conditions in classrooms often do not fit the specific needs of children.
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Is level irrelevant in "irrelevant speech"? Effects of loudness, signal-to-noise ratio, and binaural unmasking.
TL;DR: The results confirm that the segmented, changing nature of the irrelevant sound is crucial in producing the ISE and suggest that the adverse effects of disruptive auditory input may be alleviated by introducing additional uniform masking noise.
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The impact of background speech varying in intelligibility: effects on cognitive performance and perceived disturbance.
TL;DR: In this article, the impact of low background speech (35 dB(A)) of both good and poor intelligibility, in comparison to silence and highly intelligible speech not lowered in level, was investigated.
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Combined effects of acoustic and visual distraction on cognitive performance and well-being.
Andreas Liebl,Jörg Haller,Bernd Jödicke,Herwig Baumgartner,Sabine Schlittmeier,Jürgen Hellbrück +5 more
TL;DR: The results prove that even low level background speech of high intelligibility significantly impairs short-term memory, reasoning ability and well-being, and it is shown that the effects on cognitive performance andWell-being must be considered separately.
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Algorithmic modeling of the irrelevant sound effect (ISE) by the hearing sensation fluctuation strength
Sabine Schlittmeier,Sabine Schlittmeier,Tobias Weißgerber,S. Kerber,Hugo Fastl,Jürgen Hellbrück +5 more
TL;DR: All real-world sounds were modeled adequately, whereas the algorithm overestimated the (non-disturbance impact of synthetic steady-state sounds that were constituted by a repeated vowel or tone.