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Real-Time Measurement and Analysis of Audience Response

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Interactivity, Game Creation, Design, Learning, and Innovation (ArtsIT 2019, DLI 2019)

Abstract

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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Notes

  1. 1.

    ‘MIDI is an industry standard music technology protocol that connects products from many different companies including digital musical instruments, computers, tablets, and smartphones’ [1].

  2. 2.

    For the purposes of this study, Ableton Live was used, though it would be feasible to use other digital audio workstations or MIDI recording software.

  3. 3.

    ‘Standard MIDI Files contain all the MIDI instructions to generate notes, control individuals volumes, select instrument sounds, and even control reverb and other effects’ [1].

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Correspondence to Philip Wigham .

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Wigham, P., Challis, B. (2020). Real-Time Measurement and Analysis of Audience Response. In: Brooks, A., Brooks, E. (eds) Interactivity, Game Creation, Design, Learning, and Innovation. ArtsIT DLI 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-030-53294-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-53294-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-53293-2

  • Online ISBN: 978-3-030-53294-9

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