How Was It?

Martella, Claudio; Gedik, Ekin; Cabrera-Quirós, Laura; Englebienne, Gwenn; Hung, Hayley

doi:10.1145/2733373.2806276

Cited by 25 publications

(7 citation statements)

References 32 publications

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“…Martella et al [16] used accelerometers and infra-red sensors to record audience movement during a live dance performance to predict the outcome of post-performance questionnaires and motion capture techniques were used by Swarbrick et al [19] to investigate audience response to live performances compared with recorded music. As with the biometric data techniques there is a difficulty with being able to directly link the movement of audience members with a response to the performance, and although these methods have the similar advantage of being unobtrusive, they are difficult to interpret precisely.…”

Section: Existing Methodsmentioning

confidence: 99%

Real-Time Measurement and Analysis of Audience Response

Wigham

Challis

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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How do you harness a "level" of emotional connectivity from audience/participants? Questionnaires, focus group discussions, interviews and other qualitative methods gather retrospective thoughts of the participant and may miss important insights or connections that could be discovered if a real-time response is recorded. The aspiration for real-time audience data recording is problematic in many areas of research, in particular performing arts where the work/research presented is time bound. In addressing this problem within research into the design of novel musical controllers, custom "sliders" were used to measure and examine real-time audience response to short musical performances. The audience moved their sliders in response to the performance, producing continuous data that was recorded into music software and timestamped. The initial test results have shown promising insights and usefulness for real-time data collection and examination. These results and possible methods of data analysis are presented along with discussion on how this approach may be applied in other research contexts.

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Section: Existing Methodsmentioning

confidence: 99%

Real-Time Measurement and Analysis of Audience Response

Wigham

Challis

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…Our initial analysis explored the data based on choreographic sections and elements. Further analysis could investigate the temporal component through autocorrelation or autoregressive models, quantify the group dynamics and synchronized behaviours [7,62], and cluster the audience groups [101]. Future research could introduce alternative ways of obtaining subjective feedback from the audience to help interpret the physiological reactions such as questionnaires targeting memorable scenes and debriefing sessions on bodily experience [61,72].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Linking Audience Physiology to Choreography

Han

Chernyshov

Sugawa

et al. 2023

ACM Trans. Comput.-Hum. Interact.

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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 paper, 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.

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“…HCI researchers have also explored the extent to which technology can be used to implicitly measure engagement [71]. Numerous physiological measurements have been used to quantify engagement, such as electroencephalography (EEG) [88], accelerometers [15,54], cameras [16,30], electrodermal activity (EDA) [18], galvanic skin response (GSR) [48], and heart rate [4]. Heart rate [45], EDA [19,36] and breathing rate [5] have been used to measure synchrony (i.e., the development of interdependent physiological states) between presenter and audience.…”

Section: Augmenting Presentations and Communicating Engagementmentioning

confidence: 99%

“…Prior to this paper there was a multitude of research on measuring audience feedback (e.g. [26,54,56,65], but very little on unobtrusively communicating this feedback to the presenter. Related prior work [12] has also shown that wearable affective feedback devices can be effectively employed to impact affect with low attention requirements.…”

Section: Towards Implementing a Real-world Systemmentioning

confidence: 99%

Feeling the Temperature of the Room: Unobtrusive Thermal Display of Engagement during Group Communication

Haliburton,

Schött,

Hirsch

et al. 2023

Preprint

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design implications for real-world wearable social thermal feedback systems for both virtual and in-person communication that support group affect communication and social connectedness. Thermal feedback has the potential to connect people across distances and facilitate more effective and dynamic communication in multiple contexts.CCS Concepts: • Human-centered computing → Interaction design; Collaborative and social computing.

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How Was It?

Cited by 25 publications

References 32 publications

Real-Time Measurement and Analysis of Audience Response

Real-Time Measurement and Analysis of Audience Response

Linking Audience Physiology to Choreography

Feeling the Temperature of the Room: Unobtrusive Thermal Display of Engagement during Group Communication

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