Introducing the 3MT_French dataset to investigate the timing of public speaking judgements: Introducing the 3MT_French Dataset...: B. Biancardi et al.

In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people's judgements develop over time during pre...

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Publicado en:Language Resources & Evaluation Vol. 59; no. 1; pp. 371 - 391
Autores principales: Biancardi, Beatrice, Chollet, Mathieu, Clavel, Chloé
Formato: Artículo
Publicado: Springer Nature Mar2025
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Introducing the 3MT_French dataset to investigate the timing of public speaking judgements: Introducing the 3MT_French Dataset...: B. Biancardi et al.
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        au:
          Biancardi, Beatrice
          Chollet, Mathieu
          Clavel, Chloé
        affil:
          CESI LINEACT, Nanterre, France
          https://ror.org/00vtgdb53 School of Computing Science, University of Glasgow, Glasgow, UK
          https://ror.org/01naq7912 LTCI, Télécom Paris, Palaiseau, France
          https://ror.org/02kvxyf05 INRIA Paris, INRIA, Paris, France
      su:
        Public speaking
        Research personnel
        Statistical correlation
        Self-confidence
        Annotations
      sug:
        subj:
          Public speaking
          Research personnel
          Statistical correlation
          Self-confidence
          Annotations
      keyword:
        Annotation scheme
        Corpus
        First impressions
        Primacy-recency effect
      ab: In most public speaking datasets, judgements are given after watching the entire performance, or on thin slices randomly selected from the presentations, without focusing on the temporal location of these slices. This does not allow to investigate how people's judgements develop over time during presentations. This contrasts with primacy and recency theories, which suggest that some moments of the speech could be more salient than others and contribute disproportionately to the perception of the speaker's performance. To provide novel insights on this phenomenon, we present the 3MT_French dataset. It contains a set of public speaking annotations collected on a crowd-sourcing platform through a novel annotation scheme and protocol. Global evaluation, persuasiveness, perceived self-confidence of the speaker and audience engagement were annotated on different time windows (i.e., the beginning, middle or end of the presentation, or the full video). This new resource will be useful to researchers working on public speaking assessment and training. It will allow to fine-tune the analysis of presentations under a novel perspective relying on socio-cognitive theories rarely studied before in this context, such as first impressions and primacy and recency theories. An exploratory correlation analysis on the annotations provided in the dataset suggests that the early moments of a presentation have a stronger impact on the judgements.
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    language: English
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