Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking

  title={Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking},
  author={Md. Iftekhar Tanveer and Samiha Samrose and Raiyan Abdul Baten and M. Hoque},
  booktitle={CHI '18},
  • Md. Iftekhar Tanveer, Samiha Samrose, +1 author M. Hoque
  • Published in CHI '18 2018
  • Psychology, Computer Science
  • Telling a great story often involves a deliberate alteration of emotions. [...] Key Method We use IBM Watson Tone Analyzer to extract sentence-wise emotion, language, and social scores. Our study indicates that it is possible to predict (with AUC as high as 0.88) the subjective ratings of the audience by analyzing the narrative trajectories. Additionally, we find that some trajectories (for example, a flat trajectory of joy) correlate well with some specific ratings (e.g. "Longwinded') assigned by the viewers…Expand Abstract
    13 Citations

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    Identifying the sentiment styles of YouTube's vloggers
    • 10
    • Highly Influenced
    • PDF
    How Presenters Perceive and React to Audience Flow Prediction In-situ
    • 1
    Upskilling Together: How Peer-interaction Influences Speaking-skills Development Online
    • 3
    A Multimodal Approach to Sarcasm Detection on Social Media
    • 3
    • Highly Influenced
    Violent music vs violence and music: Drill rap and violent crime in London
    Detection and Mitigation of Bias in Ted Talk Ratings
    • 1
    • PDF


    AwareMe: Addressing Fear of Public Speech through Awareness
    • 17
    • Highly Influential
    Machine learning - a probabilistic perspective
    • K. Murphy
    • Computer Science
    • Adaptive computation and machine learning series
    • 2012
    • 5,597
    • Highly Influential
    • PDF
    Pattern Recognition and Machine Learning
    • R. Neal
    • Computer Science, Mathematics
    • Technometrics
    • 2007
    • 17,397
    • Highly Influential
    A note on one class of perceptrons
    • Automation and remote control 25,
    • 1964