Literature DB >> 27573005

The many faces of a face: Comparing stills and videos of facial expressions in eight dimensions (SAVE database).

Margarida V Garrido1,2, Diniz Lopes3, Marília Prada3, David Rodrigues3,4, Rita Jerónimo3, Rui P Mourão5.   

Abstract

This article presents subjective rating norms for a new set of Stills And Videos of facial Expressions-the SAVE database. Twenty nonprofessional models were filmed while posing in three different facial expressions (smile, neutral, and frown). After each pose, the models completed the PANAS questionnaire, and reported more positive affect after smiling and more negative affect after frowning. From the shooting material, stills and 5 s and 10 s videos were edited (total stimulus set = 180). A different sample of 120 participants evaluated the stimuli for attractiveness, arousal, clarity, genuineness, familiarity, intensity, valence, and similarity. Overall, facial expression had a main effect in all of the evaluated dimensions, with smiling models obtaining the highest ratings. Frowning expressions were perceived as being more arousing, clearer, and more intense, but also as more negative than neutral expressions. Stimulus presentation format only influenced the ratings of attractiveness, familiarity, genuineness, and intensity. The attractiveness and familiarity ratings increased with longer exposure times, whereas genuineness decreased. The ratings in the several dimensions were correlated. The subjective norms of facial stimuli presented in this article have potential applications to the work of researchers in several research domains. From our database, researchers may choose the most adequate stimulus presentation format for a particular experiment, select and manipulate the dimensions of interest, and control for the remaining dimensions. The full stimulus set and descriptive results (means, standard deviations, and confidence intervals) for each stimulus per dimension are provided as supplementary material.

Entities:  

Keywords:  Arousal; Attractiveness; Clarity; Faces; Familiarity; Genuineness; Intensity; Normative data; Similarity; Stills; Subjective ratings; Valence; Videos

Mesh:

Year:  2017        PMID: 27573005     DOI: 10.3758/s13428-016-0790-5

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  8 in total

1.  The taste & affect music database: Subjective rating norms for a new set of musical stimuli.

Authors:  David Guedes; Marília Prada; Margarida Vaz Garrido; Elsa Lamy
Journal:  Behav Res Methods       Date:  2022-05-17

2.  Norms for pictures of proper names: contrasting famous people and well-known places in younger and older adults.

Authors:  Cristiane Souza; Joana C Carmo; Margarida V Garrido
Journal:  Behav Res Methods       Date:  2022-05-27

3.  The Sabancı University Dynamic Face Database (SUDFace): Development and validation of an audiovisual stimulus set of recited and free speeches with neutral facial expressions.

Authors:  Yağmur Damla Şentürk; Ebru Ecem Tavacioglu; İlker Duymaz; Bilge Sayim; Nihan Alp
Journal:  Behav Res Methods       Date:  2022-08-26

4.  KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces.

Authors:  Margarida V Garrido; Marília Prada
Journal:  Front Psychol       Date:  2017-12-19

5.  Subjective ratings and emotional recognition of children's facial expressions from the CAFE set.

Authors:  Marília Prada; Margarida V Garrido; Cláudia Camilo; David L Rodrigues
Journal:  PLoS One       Date:  2018-12-27       Impact factor: 3.240

6.  Animal Images Database: Validation of 120 Images for Human-Animal Studies.

Authors:  Catarina Possidónio; João Graça; Jared Piazza; Marília Prada
Journal:  Animals (Basel)       Date:  2019-07-24       Impact factor: 2.752

7.  Development and Validation of the Yonsei Face Database (YFace DB).

Authors:  Kyong-Mee Chung; Soojin Kim; Woo Hyun Jung; Yeunjoo Kim
Journal:  Front Psychol       Date:  2019-12-03

8.  The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English.

Authors:  Steven R Livingstone; Frank A Russo
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

  8 in total

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