Danny Hynds

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4ranked-venue papers
1as first author
4since 2021 · last 2025
0000-0002-8453-5162ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021
YearPublicationVenuePosition
2025 "It's Like Being On Stage": Conveying Dancers' Expressiveness Through A Haptic-Installed Contemporary Dance Performance
Ximing Shen, Yoichi Kamiyama, Danny Hynds, Giulia Barbareschi, Ray LC, Sohei Wakisaka, Arata Horie, Kouta Minamizawa
CHI4
2024 Innermost Echoes: Integrating Real-Time Physiology into Live Music Performances
abstract
In this paper, we propose a method for utilizing musical artifacts and physiological data as a means for creating a new form of live music experience that is rooted in the physiology of the performers and audience members. By utilizing physiological data (namely Electrodermal Activity (EDA) and Heart Rate Variability (HRV)) and applying this data to musical artifacts including a robotic koto (a traditional 13-string Japanese instrument fitted with solenoids and linear actuators), a Eurorack synthesizer, and Max/MSP software, we aim to develop a new form of semi-improvisational and significantly indeterminate performance practice. It has since evolved into a multi-modal methodology which honors improvisational performance practices and utilizes physiological data which offers both performers and audiences an ever-changing and intimate experience.
Danny Hynds, George Chernyshov, Dingding Zheng, Aoi Uyama, Juling Li, Kozue Matsumoto, Michael Pogorzhelskiy, Kai Kunze, Jamie A. Ward, Kouta Minamizawa
TEI1
2023 Linking Audience Physiology to Choreography
abstract
The use of wearable sensor technology opens up exciting avenues for both art and HCI research, providing new ways to explore the invisible link between audience and performer. To be effective, such work requires close collaboration between performers and researchers. In this article, we report on the co-design process and research insights from our work integrating physiological sensing and live performance. We explore the connection between the audience’s physiological data and their experience during the performance, analyzing a multi-modal dataset collected from 98 audience members. We identify notable moments based on HRV and EDA, and show how the audience’s physiological responses can be linked to the choreography. The longitudinal changes in HRV features suggest a strong connection to the choreographer’s intended narrative arc, while EDA features appear to correspond with short-term audience responses to dramatic moments. We discuss the physiological phenomena and implications for designing feedback systems and interdisciplinary collaborations.
Jiawen Han, George Chernyshov, Moe Sugawa, Dingding Zheng, Danny Hynds, Taichi Furukawa, Marcelo Padovani Macieira, Karola Marky, Kouta Minamizawa, Jamie A. Ward, Kai Kunze
ACM Trans. Comput. Hum. Interact.5
2021 Boiling Mind: Amplifying the Audience-Performer Connection through Sonification and Visualization of Heart and Electrodermal Activities
abstract
In stage performances, an invisible wall in front of the stage often weakens the connections between the audience and performers. To amplify this performative connection, we present the concept ”Boiling Mind”. Our design concept is based on streaming sensor data related to heart and electrodermal activities from audience members and integrating this data into staging elements, such as visual projections, music, and lighting. Thus, the internal states of the audience directly influence the staging. Artists can have a more direct perception of the inner reactions of audience members and can create physical expressions in response to them. In this paper, we present the wearable sensing system as well as design considerations of mapping heart and electrodermal activity to changes in the staging elements. We evaluated our design and setup over three live performances.
Moe Sugawa, Taichi Furukawa, George Chernyshov, Danny Hynds, Jiawen Han, Marcelo Padovani, Dingding Zheng, Karola Marky, Kai Kunze, Kouta Minamizawa
TEI4