Von: Marc Voigt
Datum: Fri, 20 Oct 2023
Betreff: [ak-discourse] Einladung zu den Forschungskolloquien am 24.10.2023
Liebe Kollegen und Studierende, liebe Interessenten an Veranstaltungen
am Fachgebiet Audiokommunikation,
am kommenden Dienstag, 24.10.2023, 16:00 Uhr, präsentiert Tom Virkus seine Abschlussarbeit zum Thema „The semantic expression space of UX sounds on the functional level of product communication. An exploratory study with sound designers and consumers“.
Dazu möchten wir Sie sehr herzlich einladen. Eine Kurzzusammenfassung darüber finden Sie, wie immer, am Ende dieser E-Mail.
Vor Ort gelten die Hygieneregeln der TU Berlin:
https://www.tu.berlin/themen/coronavirus/hygieneregeln/
Der Zoom-Link für unsere auswärtigen Gäste lautet:
https://tu-berlin.zoom.us/j/65603959784?pwd=ZEs1SkVrbFJzZ0pXeG9TSGp3YkI3UT09
Meeting-ID: 656 0395 9784
Kenncode: 20231009
Viele Grüße
Marc Voigt
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Tom Virkus: The semantic expression space of UX sounds on the functional level of product communication. An exploratory study with sound designers and consumers
This study investigates the communicative potential of user experience sounds in modern technological products, focusing on how effectively they convey functional information to users. Drawing on the expertise of professionals in product sound design and related fields, we identified common goals pursued through the use of UX sounds in real-world technological consumer products. A large collection of UX sounds was then evaluated by a sample of 234 individuals from the UK and Germany to assess their effectiveness in meeting manufacturers‘ communication objectives. Using exploratory and confirmatory factor analyses, the study identifies the key communication goals that can be successfully and coherently achieved through UX sounds. The results ultimately led to the construction of a two-part standardized measurement instrument called FMUXs that can be used to evaluate UX sounds in a time-efficient manner. Limitations were noted due to the relatively small sample size and high correlation between certain expression dimensions. Nonetheless, the study provides a foundation for future research using Music Information Retrieval (MIR) techniques and Deep Learning applications to further refine the design and application of UX sounds.
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Marc Voigt
IT-Administration
Technische Universität Berlin
Fakultät I – Geistes- und Bildungswissenschaften
Institut für Sprache und Kommunikation
Fachgebiet Audiokommunikation
Faculty I – Humanities and Educational Sciences
Institute of Speech and Communication
Audio Communication Group
Einsteinufer 17c, 10587 Berlin
GERMANY
Telefon: +49 (0)30 314-25557
Telefax: +49 (0)30 314-21143
marc.voigt@tu-berlin.de