ASMRcade: interactive audio triggers for an autonomous sensory meridian response

  • Autonomous Sensory Meridian Response (ASMR) is a sensory phenomenon involving pleasurable tingling sensations in response to stimuli such as whispering, tapping, and hair brushing. It is increasingly used to promote health and well-being, help with sleep, and reduce stress and anxiety. ASMR triggers are both highly individual and of great variety. Consequently, finding or identifying suitable ASMR content, e.g., by searching online platforms, can take time and effort. This work addresses this challenge by introducing a novel interactive approach for users to generate personalized ASMR sounds. The presented system utilizes a generative adversarial network (GAN) for sound generation and a graphical user interface (GUI) for user control. Our system allows users to create and manipulate audio samples by interacting with a visual representation of the GAN’s latent input vector. Further, we present the results of a first user study which indicates that our approach is suitable for triggeringAutonomous Sensory Meridian Response (ASMR) is a sensory phenomenon involving pleasurable tingling sensations in response to stimuli such as whispering, tapping, and hair brushing. It is increasingly used to promote health and well-being, help with sleep, and reduce stress and anxiety. ASMR triggers are both highly individual and of great variety. Consequently, finding or identifying suitable ASMR content, e.g., by searching online platforms, can take time and effort. This work addresses this challenge by introducing a novel interactive approach for users to generate personalized ASMR sounds. The presented system utilizes a generative adversarial network (GAN) for sound generation and a graphical user interface (GUI) for user control. Our system allows users to create and manipulate audio samples by interacting with a visual representation of the GAN’s latent input vector. Further, we present the results of a first user study which indicates that our approach is suitable for triggering ASMR experiences.show moreshow less

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Metadaten
Author:Silvan MertesORCiDGND, Marcel Strobl, Ruben SchlagowskiORCiDGND, Elisabeth AndréORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1137270
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/113727
ISBN:979-8-4007-0055-2OPAC
Parent Title (English):ICMI '23: proceedings of the 25th International Conference on Multimodal Interaction, October 9-13, 2023, Paris, France
Publisher:ACM
Place of publication:New York, NY
Editor:Elisabeth AndréORCiDGND, Mohamed Chetouani, Dominique Vaufreydaz, Gale Lucas, Tanja Schultz, Louis-Philippe Morency, Alessandro Vinciarelli
Type:Conference Proceeding
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2024/07/01
First Page:70
Last Page:78
DOI:https://doi.org/10.1145/3577190.3614155
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)