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.…


| Author: | Silvan MertesORCiDGND, Marcel Strobl, Ruben SchlagowskiORCiDGND, Elisabeth AndréORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1137270 |
| Frontdoor URL | https://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 |



