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Timing structures in live comedy: A matched-sequence approach to mapping performance dynamics.

Vanessa C Pope1, Rebecca Stewart2, Elaine Chew1

  • 1Department of Engineering and School of Biomedical Engineering & Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.

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Summary
This summary is machine-generated.

This study introduces Topology Analysis of Matching Sequences (TAMS), a computational method to analyze timing in live performances. TAMS reveals structural patterns and performer skill in repeated material, enhancing our understanding of audience-performer dynamics.

Keywords:
comedycultural analyticsinformaticslive performancespeech

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Area of Science:

  • Computational Social Science
  • Performance Studies
  • Digital Humanities

Background:

  • Live performance is a widespread human activity lacking systematic scientific analysis.
  • Understanding the structure and timing of live performances can reveal insights into performer skill and audience engagement.

Purpose of the Study:

  • To introduce a novel computational methodology for analyzing timing structures in live performances.
  • To quantify and visualize repeated sequences and their timing across performances.
  • To explore the application of this framework to stand-up comedy and other performance types.

Main Methods:

  • Development of the Topology Analysis of Matching Sequences (TAMS) framework.
  • Automated detection and timing mapping of repeated sequences in performance data.
  • Application of TAMS to analyze two stand-up comedy tours.

Main Results:

  • Identification of macro- and micro-level structural features in stand-up comedy.
  • Discovery of consistently placed new material at show beginnings.
  • Analysis of tightly timed repeated material sections and their relation to audience-performer dynamics via speech microtiming and laughter.

Conclusions:

  • TAMS offers a novel computational approach to systematically study live performance.
  • The methodology reveals underlying structural engineering and performer skill in repeated content.
  • TAMS has potential applications in analyzing various forms of repeated speech and performance, including political speeches and dance.