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Green Persuasive Database

The Green Persuasive Dataset was recorded in 2007 to provide data for the HUMAINE workpackage on persuasion. The recording scenario is as follows: a persuader with (genuinely) strong pro-green feelings tries to convince persuadees to consider adopting more ‘green’ lifestyles. The interaction between the persuader and persuadee generally takes the shape of discussions. In many cases the persuadees disagree strongly with some of the persuader’s points, while at other times the persuadee agrees with the persuasder. As such, this would be good data to study social signs of agreement between two people.

The dataset consists of recordings of eight discussions. Each discussion involves two people, and lasts between 25 minutes to 48 minutes. The persuader is always the same person, while the persuadee is different for each discussion. The persuader and persuadee are recorded by different cameras, from a 45 degree angle view. This poses a serious challenge to train tools that can detect visual signs of agreement, especially facial signs, as important parts of the face are occluded by other parts of the participant’s own face.

The entire dataset is annotated for persuasiveness. Ratings are traces (i.e. continuously valued labels over time), indicating how persuasive the persuadee finds the persuader to be at any given instant, according to a third observer (i.e. the rater). There are ratings both from the persuadees themselves and from third parties. From all 16 recordings, 50 extracts were selected to represent the main types of state that occur in the interaction. Raters then identified up to 3 words that they felt described the state shown in each clip. This was done by 10 raters per clip.

  • url: http://green-persuasive-db.sspnet.eu/
  • license: Free for non-commercial users
  • subjects: 16
  • recordings: 8
  • duration: 25-48 minutes
  • naturality: roleplay
  • media: The persuader and persuadee are recorded by different cameras, from a 45 degree angle view
  • language: English
  • interaction: dyadic
  • annotation: unknown

Categories: untyped

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