[ 14. April 2019 ]

DEGEM News – BERLIN – Forschungskolloquium über die Wahrnehmung und Bewertung leiser Geräusche

Von: Steffens, Jochen
Datum: Sat, 13 Apr 2019
Betreff: [ak-discourse] Forschungskolloquium über die Wahrnehmung und Bewertung leiser Geräusche

Liebe Kollegen und Studierende, liebe Interessenten an Veranstaltungen am Fachgebiet Audiokommunikation,

einmal mehr möchte ich Sie sehr herzlich zu unserem Forschungskolloquium am kommenden Dienstag (16.04., 16.15Uhr) im Raum EN 324 einladen. Im Rahmen dieses Termins wird Siegbert Versümer sein Promotionsprojekt zur Wahrnehmung und Bewertung leiser Geräusche vorstellen. Der Vortrag erfolgt in deutscher Sprache, und eine Kurzzusammenfassung darüber finden Sie am Ende dieser E-Mail.

Herzliche Grüße und Ihnen allen ein schönes Restwochenende

Jochen Steffens

***

PD Dr. Jochen Steffens

Wissenschaftlicher Mitarbeiter

Fachgebiet Audiokommunikation (Sekr. EN-8)

Technische Universität Berlin
Einsteinufer 17c
10587 Berlin
Büro: +49 30 314 29161

Noise research has focused on urban sounds like traffic or machine noise. The present project, in contrast, investigates low-level sound sources that can affect human wellbeing and health and that attract human attention only in specific situations. To address our research questions, we are going to conduct several online, field and laboratory surveys. At present, we conduct an online survey with around 2000 participants. In the course of the survey, participants report on situations in which they typically noticed low-level sound sources. They describe the characteristics of the sounds as well as their frequency of occurrence. In addition, they report on typical activities in these specific situations and personal strategies to cope with negative effects. Finally, they fill out questionnaires measuring the Big Five personality traits extraversion and neuroticism as well as noise sensitivity. This presentation discusses the results of the pre-test. These include a ranked list of sound sources that people classify as being ”low-noise” and that show a potential to affect humans in a negative or even positive way. They further constitute the basis for a multi-level prediction model on the effects of low-level sound sources including situational and person-related factors. Therefore, the findings contribute to a deeper understanding and to an improvement of low-level acoustic environments. In the long run, we aim to develop a model to predict annoyance experience of a specific sound perceived of a person with specific personal factors acting in a specific situation.