Sensing a live audience

Wang, Chen; Geelhoed, Erik; Stenton, Phil; César, Pablo

doi:10.1145/2556288.2557154

Cited by 50 publications

(39 citation statements)

References 7 publications

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“…In our experiment, we had a non-engaging learning experience, and it is important to note that such situation (non-engaging experience) has not been reported before. Unlike the previous studies, the audience was engaged with a video (Dmochowski, Bezdek, Abelson, Johnson, Schumacher and Parra, 2014) or a comedy play (Wang, Geelhoed, Stenton and Cesar, 2014). However, during a non-engaging experience, we found that there were no such significant correlations existed between the two locations (surveys and GSR response), and there was no significant cross correlation between surveys and GSR readings.…”

Section: Correlationscontrasting

confidence: 76%

“…For instance, based on physiological signals, Ruan et al proposed a discriminant model to predict the fatigue state of players, so that the design of body-controlled games can be adapted and improved (Ruan, Chen, Sun and Chen, 2009). In addition, GSR sensors have also been studied for performing arts, Latuliper et al and Chen et al used both surveys and GSR sensors to investigate audience engagement at a lab and a field study respectively ( Latulipe, Carroll and Lottridge, 2011;Wang, Geelhoed, Stenton and Cesar, 2014).…”

Section: Gsr Sensorsmentioning

confidence: 99%

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Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Wang

César

2015

Proceedings of the 2nd International Conference on Physiological Computing Systems

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Abstract:Measuring students' engagement in a distributed learning environment is a challenge. In particular, a teacher gives a lecture at one location, while at the same time the remote students watch the lecture through a display screen. In such situation, it is difficult for the teacher to know the reaction at the remote location.In this paper, we conducted a field study to measure students' engagement by using galvanic skin response (GSR) sensors, where students simultaneously watched the lecture at the two locations. Our results showed the students' GSR response was aligned with the surveys, which means that during a distributed learning environment, GSR sensors can be used as an indicator on students' engagement. Furthermore, our user studies resulted in non-engaging student learning experiences that would be difficult obtained at a lab condition. Based on the findings, we found that the patterns of GSR readings were rather different when compared to the previous relevant studies, where users were engaged. In addition, we noticed that the density of GSR response at the remote location was higher when compared to the one at the lecture room. We believe that our studies are beneficial on physiological computing, as we first presented the patterns of GSR sensors on non-engaging user experiences. Moreover, as an alternative method, GSR sensors can be easily implemented in a distributed learning environment to provide feedback to teachers.

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Section: Correlationscontrasting

confidence: 76%

Section: Gsr Sensorsmentioning

confidence: 99%

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Wang

César

2015

Proceedings of the 2nd International Conference on Physiological Computing Systems

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“…Two widely used dimensions for describing emotions are arousal (activation/excitement levels) and valence (positive or negative aspect of the emotion) [14], which are sensitive to short-term changes which can otherwise be difficult to detect. Galvanic skin response (GSR) and heart rate (HR) are commonly used measures of arousal and valence respectively [26,30]. GSR measures changes in skin conductance, and has been closely linked to measuring arousal and attention [30].…”

Section: Measuring Engagement and Viewer Experiencementioning

confidence: 99%

Investigating the Effect of Relative Time Delay on Companion Screen Experiences

Kenny

Rigby

Brumby

et al. 2017

Adjunct Publication of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video

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Mobile devices are increasingly used while watching television, leading to the development of companion apps that complement the content of programmes. A concern for these applications is the extent to which companion app and television content need to be temporally aligned for live synchronisation. In this study, 18 participants watched a nature programme while being shown companion content on a tablet. Temporal synchronisation of content between the devices was varied. Participants completed questionnaires measuring immersion and affect and were tested on their recall for companion app content. While there were no statistically significant effects on these measures, qualitative interviews with participants after viewing consistently revealed that longer 10s delays in content synchronisation were frustrating. This suggests that poor content synchronisation can produce a negative companion experience for viewers and should be avoided.

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“…As such, no comparisons are made with mediated performances. The emphasis is on the very nature of the theatre experience, evaluating the pre-and post-performance experience, an area which we explored using Galvanic Skin Response audience sensing complementing self-report pre-and postperformance questionnaires [72].…”

Section: Quantitative Audience Evaluations Of Mediated Performancesmentioning

confidence: 99%

Co-present and remote audience experiences: intensity and cohesion

Geelhoed

Singh-Barmi

Biscoe

et al. 2016

Multimed Tools Appl

Self Cite

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This article presents the results of modelling audience response to new types of networked theatre plays. As the main contribution of the work we introduce two types of metrics: intensity, relating to how intensively co-present and remote aspects of a performance are rated, and cohesion, relating to how a performance as a whole, the combination of copresent and remote aspects, affects an audience. In particular, we model audience response based on two in the wild evaluations, staged by a low budget theatre company, a streamed and a distributed performance. The streamed performance is similar to NT Live, where a theatre play is delivered to other theatres with an audience. The distributed performance, on the other hand, connects actors in two different theatres (with audiences) creating one single play. The streamed performance was experienced as less intense as well as less cohesive by the remote audience, whilst the distributed performance integrated co-present and remote aspects tightly. Remote aspects of the distributed performance were still experienced as less intense, but the performance as a whole was highly cohesive. Apart from the identification of these two new metrics (intensity and cohesion), based on our experiences we argue that an innovative way of bundling relevant emerging technologies is needed to give a voice to the, as yet silent, remote audience.

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Sensing a live audience

Cited by 50 publications

References 7 publications

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Investigating the Effect of Relative Time Delay on Companion Screen Experiences

Co-present and remote audience experiences: intensity and cohesion

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