Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 3557887 |
| Fachzeitschrift | ACM Transactions on Computer-Human Interaction |
| Jahrgang | 30 |
| Ausgabenummer | 1 |
| Frühes Online-Datum | 17 Aug. 2022 |
| Publikationsstatus | Veröffentlicht - 7 März 2023 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Mensch-Maschine-Interaktion
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in: ACM Transactions on Computer-Human Interaction, Jahrgang 30, Nr. 1, 3557887, 07.03.2023.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Linking Audience Physiology to Choreography
AU - Han, Jiawen
AU - Chernyshov, George
AU - Sugawa, Moe
AU - Zheng, Dingding
AU - Hynds, Danny
AU - Furukawa, Taichi
AU - MacIeira, Marcelo Padovani
AU - Marky, Karola
AU - Minamizawa, Kouta
AU - Ward, Jamie A.
AU - Kunze, Kai
N1 - Funding Information: This work is conducted under the Cybernetic Being project supported by JST Moonshot R&D Program Grant Number JPMJMS2013. JW is funded by a Leverhulme supported grant from The British Academy, Royal Academy of Engineering and Royal Society (APX101093), and a European Research Council (ERC) grant (Neurolive 864420).
PY - 2023/3/7
Y1 - 2023/3/7
N2 - 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.
AB - 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.
KW - dance performance
KW - Datasets
KW - electrodermal activity
KW - heart activity
UR - http://www.scopus.com/inward/record.url?scp=85150392144&partnerID=8YFLogxK
U2 - 10.1145/3557887
DO - 10.1145/3557887
M3 - Article
AN - SCOPUS:85150392144
VL - 30
JO - ACM Transactions on Computer-Human Interaction
JF - ACM Transactions on Computer-Human Interaction
SN - 1073-0516
IS - 1
M1 - 3557887
ER -