View in EDS HTML Full Text PDF Full Text

Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers.

Saved in:
Bibliographic Details
Title: Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers.
Authors: Schaefer, Alexandre (AUTHOR), Nils, Frédéric (AUTHOR), Sanchez, Xavier (AUTHOR), Philippot, Pierre (AUTHOR)
Source: Cognition & Emotion. Nov2010, Vol. 24 Issue 7, p1153-1172. 20p. 2 Charts, 6 Graphs.
Subjects: Emotions in motion pictures, Film excerpts, Anger, Sadness
Abstract: Using emotional film clips is one of the most popular and effective methods of emotion elicitation. The main goal of the present study was to develop and test the effectiveness of a new and comprehensive set of emotional film excerpts. Fifty film experts were asked to remember specific film scenes that elicited fear, anger, sadness, disgust, amusement, tenderness, as well as emotionally neutral scenes. For each emotion, the 10 most frequently mentioned scenes were selected and cut into film clips. Next, 364 participants viewed the film clips in individual laboratory sessions and rated each film on multiple dimensions. Results showed that the film clips were effective with regard to several criteria such as emotional discreteness, arousal, positive and negative affect. Finally, ranking scores were computed for 24 classification criteria: Subjective arousal, positive and negative affect (derived from the PANAS; Watson & Tellegen, 1988), a positive and a negative affect scores derived from the Differential Emotions Scale (DES; Izard et al., 1974), six emotional discreteness scores (for anger, disgust, sadness, fear, amusement and tenderness), and 15 'mixed feelings' scores assessing the effectiveness of each film excerpt to produce blends of specific emotions. In addition, a number of emotionally neutral film clips were also validated. The database and editing instructions to construct the film clips have been made freely available in a website. [ABSTRACT FROM AUTHOR]
Copyright of Cognition & Emotion is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 54167351
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Schaefer%2C+Alexandre%22">Schaefer, Alexandre</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nils%2C+Frédéric%22">Nils, Frédéric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sanchez%2C+Xavier%22">Sanchez, Xavier</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Philippot%2C+Pierre%22">Philippot, Pierre</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Cognition+%26+Emotion%22">Cognition & Emotion</searchLink>. Nov2010, Vol. 24 Issue 7, p1153-1172. 20p. 2 Charts, 6 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Emotions+in+motion+pictures%22">Emotions in motion pictures</searchLink><br /><searchLink fieldCode="DE" term="%22Film+excerpts%22">Film excerpts</searchLink><br /><searchLink fieldCode="DE" term="%22Anger%22">Anger</searchLink><br /><searchLink fieldCode="DE" term="%22Sadness%22">Sadness</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Using emotional film clips is one of the most popular and effective methods of emotion elicitation. The main goal of the present study was to develop and test the effectiveness of a new and comprehensive set of emotional film excerpts. Fifty film experts were asked to remember specific film scenes that elicited fear, anger, sadness, disgust, amusement, tenderness, as well as emotionally neutral scenes. For each emotion, the 10 most frequently mentioned scenes were selected and cut into film clips. Next, 364 participants viewed the film clips in individual laboratory sessions and rated each film on multiple dimensions. Results showed that the film clips were effective with regard to several criteria such as emotional discreteness, arousal, positive and negative affect. Finally, ranking scores were computed for 24 classification criteria: Subjective arousal, positive and negative affect (derived from the PANAS; Watson & Tellegen, 1988), a positive and a negative affect scores derived from the Differential Emotions Scale (DES; Izard et al., 1974), six emotional discreteness scores (for anger, disgust, sadness, fear, amusement and tenderness), and 15 'mixed feelings' scores assessing the effectiveness of each film excerpt to produce blends of specific emotions. In addition, a number of emotionally neutral film clips were also validated. The database and editing instructions to construct the film clips have been made freely available in a website. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Cognition & Emotion is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=54167351
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/02699930903274322
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1153
    Subjects:
      – SubjectFull: Emotions in motion pictures
        Type: general
      – SubjectFull: Film excerpts
        Type: general
      – SubjectFull: Anger
        Type: general
      – SubjectFull: Sadness
        Type: general
    Titles:
      – TitleFull: Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Schaefer, Alexandre
      – PersonEntity:
          Name:
            NameFull: Nils, Frédéric
      – PersonEntity:
          Name:
            NameFull: Sanchez, Xavier
      – PersonEntity:
          Name:
            NameFull: Philippot, Pierre
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2010
              Type: published
              Y: 2010
          Identifiers:
            – Type: issn-print
              Value: 02699931
          Numbering:
            – Type: volume
              Value: 24
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Cognition & Emotion
              Type: main
ResultId 1